Philip Morris International
London, United Kingdom
Philip Morris is leading the transformation of our industry with our Reduced Risk Products, delivering the Smoke Free Future. We are making a major investment in Digital talent within our organisation, driven from the very top. As we transform our industry, so we are transforming our business to be more consumer focused, innovative, forward leaning and agile. To realise our ambitions, we have launched a digital function to drive awareness, consideration, activation and loyalty across our audiences. Our Digital function are integral in our mission to empower, inspire and co- with our people. Build deep insight, interest and investment in the latest digital communications initiatives. This team will establish our modern communications vision, lead the execution of new projects, capabilities and programmes.
THE OPPORTUNITY
As a Data Analysis Manager you will join the evolving Digital department of Philip Morris International (PMI) in London. Reporting directly to the Head of Digital Activation you will be responsible for driving the insight agenda forward and promoting strategic insight and analytics. The job holder is a data-driven analyst who identifies and provides useful insights and helps inform decisions using a wide range of tools & platforms.
Understanding the value of data is key to implementing successful strategies that facilitate agile and effective business growth. Correctly harnessing data can help us take fact-based decisions and improve the customer and prospect experiences.
KEY RESPONSIBILITIES
Lead and shape all internal reporting and analyses across paid, owned & earned media
Manage, interpret and debrief findings with key stakeholders to demonstrate the impact of insights
Define our data strategy across our CDPDMP in collaboration with key stakeholders
Responsible to drive the learning agenda for data driven marketing and setup of segmentation strategy in collaboration with the Head of Digital Activation
Underpin the development of the audience strategy for future campaigns by pulling insight across paid owned and earned media, from previous campaigns and a multitude of different sources
Be the team expert on which behaviours, attitudes and signals are fundamental to the campaign success ultimately driving planning and execution efforts
Build a hypothesis and testing roadmap based on data insights & our personalisation strategy
KEY REQUIREMENTS
A proven track record in an e-commerce or technology research company environment delivering digital projects for global brands
Experience using Google stack (GA, GTM etc), Data Platforms (CDPDMP) or Marketing Cloud Solutions to gain meaningful insight to inform business stakeholder decisions
Be able to provide multiple examples of the hands-on experience in analysis to inform and influence leadership teams
Ability to transform data into compelling and engaging stories
Provides supervision and development opportunities for junior team members
WHAT WE OFFER
You will find that we provide the opportunity to work in a professional environment alongside a multicultural group of people with varied and diverse backgrounds.
You will benefit from operating in a dynamic and challenging commercial and regulatory environment. You will have the opportunity to develop along a defined career path with support in your professional development.
We offer a competitive salary and the benefits (such as flexible-working practices) of employment in a leading global consumer goods company’s offices in our Hammersmith location. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
PMI affiliates do not accept referrals from employment agencies in respect of the vacancies posted on this site. Should an employment agency take any action in respect of such a vacancy, their actions will have been taken without the request or agreement of any PMI affiliate. No PMI affiliate shall be liable for any fees in such circumstances.
15/11/2018
Full time
Philip Morris is leading the transformation of our industry with our Reduced Risk Products, delivering the Smoke Free Future. We are making a major investment in Digital talent within our organisation, driven from the very top. As we transform our industry, so we are transforming our business to be more consumer focused, innovative, forward leaning and agile. To realise our ambitions, we have launched a digital function to drive awareness, consideration, activation and loyalty across our audiences. Our Digital function are integral in our mission to empower, inspire and co- with our people. Build deep insight, interest and investment in the latest digital communications initiatives. This team will establish our modern communications vision, lead the execution of new projects, capabilities and programmes.
THE OPPORTUNITY
As a Data Analysis Manager you will join the evolving Digital department of Philip Morris International (PMI) in London. Reporting directly to the Head of Digital Activation you will be responsible for driving the insight agenda forward and promoting strategic insight and analytics. The job holder is a data-driven analyst who identifies and provides useful insights and helps inform decisions using a wide range of tools & platforms.
Understanding the value of data is key to implementing successful strategies that facilitate agile and effective business growth. Correctly harnessing data can help us take fact-based decisions and improve the customer and prospect experiences.
KEY RESPONSIBILITIES
Lead and shape all internal reporting and analyses across paid, owned & earned media
Manage, interpret and debrief findings with key stakeholders to demonstrate the impact of insights
Define our data strategy across our CDPDMP in collaboration with key stakeholders
Responsible to drive the learning agenda for data driven marketing and setup of segmentation strategy in collaboration with the Head of Digital Activation
Underpin the development of the audience strategy for future campaigns by pulling insight across paid owned and earned media, from previous campaigns and a multitude of different sources
Be the team expert on which behaviours, attitudes and signals are fundamental to the campaign success ultimately driving planning and execution efforts
Build a hypothesis and testing roadmap based on data insights & our personalisation strategy
KEY REQUIREMENTS
A proven track record in an e-commerce or technology research company environment delivering digital projects for global brands
Experience using Google stack (GA, GTM etc), Data Platforms (CDPDMP) or Marketing Cloud Solutions to gain meaningful insight to inform business stakeholder decisions
Be able to provide multiple examples of the hands-on experience in analysis to inform and influence leadership teams
Ability to transform data into compelling and engaging stories
Provides supervision and development opportunities for junior team members
WHAT WE OFFER
You will find that we provide the opportunity to work in a professional environment alongside a multicultural group of people with varied and diverse backgrounds.
You will benefit from operating in a dynamic and challenging commercial and regulatory environment. You will have the opportunity to develop along a defined career path with support in your professional development.
We offer a competitive salary and the benefits (such as flexible-working practices) of employment in a leading global consumer goods company’s offices in our Hammersmith location. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
PMI affiliates do not accept referrals from employment agencies in respect of the vacancies posted on this site. Should an employment agency take any action in respect of such a vacancy, their actions will have been taken without the request or agreement of any PMI affiliate. No PMI affiliate shall be liable for any fees in such circumstances.
QUALIFICATIONS
MSc or PhD level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics
Experience in statistical modelling and machine learning techniques
Programming experience in at least two of the following languages: Python, R, Scala, SQL
Experience in applying data science methods to business problems
Experience in applying advanced analytical and statistical methods in the commercial world
Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields
WHO YOU'LL WORK WITH
As a Senior Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Use Maths, Stats and Machine learning to derive key insights across various industry sectors including Formula 1, Pharma, Travel, Financial Services, Automotive
Work alongside the Principal Data Scientist to develop world-class data science products for clients as well as for our data science team
Write code to advance our internal Data Science toolbox
Mentor Fellow Data Scientists and Data Scientists where required
Play an active role in leading team meetings and workshops with clients
Work on complex data sets from some of the world’s largest organisations
Work in a multi-disciplinary environment mixing highly skilled people in data science, data engineering and design
Perhaps most importantly, you will work in one of the largest and most talented data science teams in London
Build strong links with the academic world and constantly share ideas and stay ahead of the curve on the latest methods
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Visit our Careers site to watch our video and read about our interview processes and benefits
12/11/2018
Full time
QUALIFICATIONS
MSc or PhD level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics
Experience in statistical modelling and machine learning techniques
Programming experience in at least two of the following languages: Python, R, Scala, SQL
Experience in applying data science methods to business problems
Experience in applying advanced analytical and statistical methods in the commercial world
Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields
WHO YOU'LL WORK WITH
As a Senior Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Use Maths, Stats and Machine learning to derive key insights across various industry sectors including Formula 1, Pharma, Travel, Financial Services, Automotive
Work alongside the Principal Data Scientist to develop world-class data science products for clients as well as for our data science team
Write code to advance our internal Data Science toolbox
Mentor Fellow Data Scientists and Data Scientists where required
Play an active role in leading team meetings and workshops with clients
Work on complex data sets from some of the world’s largest organisations
Work in a multi-disciplinary environment mixing highly skilled people in data science, data engineering and design
Perhaps most importantly, you will work in one of the largest and most talented data science teams in London
Build strong links with the academic world and constantly share ideas and stay ahead of the curve on the latest methods
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Visit our Careers site to watch our video and read about our interview processes and benefits
Springer Nature is seeking a highly motivated Senior Data Scientist for the newly created “analytics centre of excellence” serving the Research division that includes Nature, Springer, BioMedCentral and ScientificAmerican.
As a Senior Data Scientist, you’ll be analysing big data from very highly trafficed websites and content. You will provide actionable analysis and insight into the behaviour of researchers in both their roles as authors and users of scientific information as well as general trends in the world of research. Driving change that improves their experience with SpingerNature and supports our purpose to advance discovery.
Role responsibilities will include :
Gathering, analysing and blending data to produce business and customer insights, and give recommendations on how to further improve Springer Nature’s products, services and platforms
Build strong and proactive relationships with relevant business stakeholders and senior management, providing insights and analytics to support in achieving the strategic goals of the business
Increase the adoption of data science, standardise analytics tools across the organization, improve data management and reporting, and make data led insight accessible to the business
Being an advocate for a data-driven culture, share thought leadership on tools and best practices,
Introducing compelling data visualizations and interactive dashboards that allow right decision-making in a timely manner
Leading the journey towards more advanced and predictive analytics using statistical modelling, machine learning and AI
Role requirements:
University degree with a strong analytical/quantitative background or equivalent experience (e.g. Data Science, Statistics, Mathematics, Econometrics, Physics, Computer Science etc.)
Ability to extract, cleanse and combine data and make sense of it using software and tools like SQL, Big Query, Python/R, Tableau
Strong statistical and machine learning skills with some experience in NLP and the desire to learn more.
Excellent communication skills with the ability to tell compelling stories from the data
Strong ability to influence, with highly effective negotiation and presentation skills
Experience in identifing patterns and connecting different pieces of information to deliver unobvious insights drawing information from diverse and varied sources.
Demonstrable experience of using data insights and analytics to add tangible value in achieving the wider goals and strategy of the business
Excellent analytical problem solving capabilities coupled with business acumen
Well organized and accurate with good time management
Good networker, able to build up effective relations with internal business partners
23/10/2018
Freelance
Springer Nature is seeking a highly motivated Senior Data Scientist for the newly created “analytics centre of excellence” serving the Research division that includes Nature, Springer, BioMedCentral and ScientificAmerican.
As a Senior Data Scientist, you’ll be analysing big data from very highly trafficed websites and content. You will provide actionable analysis and insight into the behaviour of researchers in both their roles as authors and users of scientific information as well as general trends in the world of research. Driving change that improves their experience with SpingerNature and supports our purpose to advance discovery.
Role responsibilities will include :
Gathering, analysing and blending data to produce business and customer insights, and give recommendations on how to further improve Springer Nature’s products, services and platforms
Build strong and proactive relationships with relevant business stakeholders and senior management, providing insights and analytics to support in achieving the strategic goals of the business
Increase the adoption of data science, standardise analytics tools across the organization, improve data management and reporting, and make data led insight accessible to the business
Being an advocate for a data-driven culture, share thought leadership on tools and best practices,
Introducing compelling data visualizations and interactive dashboards that allow right decision-making in a timely manner
Leading the journey towards more advanced and predictive analytics using statistical modelling, machine learning and AI
Role requirements:
University degree with a strong analytical/quantitative background or equivalent experience (e.g. Data Science, Statistics, Mathematics, Econometrics, Physics, Computer Science etc.)
Ability to extract, cleanse and combine data and make sense of it using software and tools like SQL, Big Query, Python/R, Tableau
Strong statistical and machine learning skills with some experience in NLP and the desire to learn more.
Excellent communication skills with the ability to tell compelling stories from the data
Strong ability to influence, with highly effective negotiation and presentation skills
Experience in identifing patterns and connecting different pieces of information to deliver unobvious insights drawing information from diverse and varied sources.
Demonstrable experience of using data insights and analytics to add tangible value in achieving the wider goals and strategy of the business
Excellent analytical problem solving capabilities coupled with business acumen
Well organized and accurate with good time management
Good networker, able to build up effective relations with internal business partners
At ElementAI we are putting together a world-class research and development team to build a platform enabling next generation AI-First businesses and advancing AI For Good.
Our applied research agenda in London focuses on working with humanitarian, environmental, societal projects and products for NGOs and nonprofits, providing the tech capacity and AI expertise to help solve some of the biggest worldwide issues those organisations face - such as human rights violation. We do so by helping them to tackle their real-world problems on real-world data, turning finding into products they love.
We are looking for a Data Scientist who will support our research and engineering teams by gaining insights and analysing datasets. The ideal candidate is adept at using large data sets to find opportunities for product and process optimisation and using models to test the effectiveness of different courses of action.
In this role you will face different challenges from data exploration and cleaning to building and implementing algorithms as well as discovering solutions hidden in complicated data sets to improve product outcome.
Main responsibilities:
Process structured and unstructured data
Support Research Engineers in building Machine Learning models
Analyse disperse data sets and derive insights from it
Present information using data visualization techniques
Do hands-on analysis of the relevant data, assessing it from its raw stage all the way to production, including potentially preparing it for machine learning applications
Collaborate closely with engineering and product development teams
Requirements:
A M.Sc. or PhD in Computer Science, Mathematics, Physics, Statistics or other quantitative fields and proven experience as a Data Scientist or Data Analyst.
Experience in data mining
Experience with at least one of the following programming languages, preferably for the development of production code: Python, R
Strong analytical mind set
Excellent communication skills
Problem solving aptitude
Nice to have:
Client facing experience
What’s in it for you
Highly dynamic, innovative, passionate, intrapreneurial team;
Open and inclusive company culture;
Competitive salary;
Participation in the company success through the Employee Stock Option Plan;
Opportunity to interact with world-class academics from our Faculty Fellowship program
Access to cutting edge research
Flexible hours (outside of core hours);
Autonomous, self-managed Agile teams.
The seniority of the candidate will be established through the interview process. A more experienced candidate could evolve into a leadership position as we grow the team.
We currently have a good gender balance in our office, and are thinking hard on how to keep it that way as we grow -- not to look “correct”, but to benefit from the diversity of points of view, of ideas, of ways to work, of sensitivities, of social dynamics, that make a healthy and great team. Gender is not all there is to it, we think it’s a good place to start. We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
23/10/2018
Full time
At ElementAI we are putting together a world-class research and development team to build a platform enabling next generation AI-First businesses and advancing AI For Good.
Our applied research agenda in London focuses on working with humanitarian, environmental, societal projects and products for NGOs and nonprofits, providing the tech capacity and AI expertise to help solve some of the biggest worldwide issues those organisations face - such as human rights violation. We do so by helping them to tackle their real-world problems on real-world data, turning finding into products they love.
We are looking for a Data Scientist who will support our research and engineering teams by gaining insights and analysing datasets. The ideal candidate is adept at using large data sets to find opportunities for product and process optimisation and using models to test the effectiveness of different courses of action.
In this role you will face different challenges from data exploration and cleaning to building and implementing algorithms as well as discovering solutions hidden in complicated data sets to improve product outcome.
Main responsibilities:
Process structured and unstructured data
Support Research Engineers in building Machine Learning models
Analyse disperse data sets and derive insights from it
Present information using data visualization techniques
Do hands-on analysis of the relevant data, assessing it from its raw stage all the way to production, including potentially preparing it for machine learning applications
Collaborate closely with engineering and product development teams
Requirements:
A M.Sc. or PhD in Computer Science, Mathematics, Physics, Statistics or other quantitative fields and proven experience as a Data Scientist or Data Analyst.
Experience in data mining
Experience with at least one of the following programming languages, preferably for the development of production code: Python, R
Strong analytical mind set
Excellent communication skills
Problem solving aptitude
Nice to have:
Client facing experience
What’s in it for you
Highly dynamic, innovative, passionate, intrapreneurial team;
Open and inclusive company culture;
Competitive salary;
Participation in the company success through the Employee Stock Option Plan;
Opportunity to interact with world-class academics from our Faculty Fellowship program
Access to cutting edge research
Flexible hours (outside of core hours);
Autonomous, self-managed Agile teams.
The seniority of the candidate will be established through the interview process. A more experienced candidate could evolve into a leadership position as we grow the team.
We currently have a good gender balance in our office, and are thinking hard on how to keep it that way as we grow -- not to look “correct”, but to benefit from the diversity of points of view, of ideas, of ways to work, of sensitivities, of social dynamics, that make a healthy and great team. Gender is not all there is to it, we think it’s a good place to start. We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
Philip Morris International
London, United Kingdom
Philip Morris is leading the transformation of our industry with our Reduced Risk Products, delivering the Smoke Free Future. We are making a major investment in Digital talent within our organisation, driven from the very top. As we transform our industry, so we are transforming our business to be more consumer focused, innovative, agile and forward leaning. To realise our ambitions, we have launched a digital function to drive awareness, consideration, activation and loyalty across our target audiences. Our Digital function are integral in our mission to empower, inspire and co- with our people. Build deep insight, interest and investment in the latest digital communications initiatives. This team will establish our modern communications vision, lead the execution of new projects, capabilities and programmes.
THE OPPORTUNITY
The Data Analysis & GDPR supervisor is responsible for leveraging our analytics platform to understand consumer behaviour and ensure we optimize the digital experience. This role is tasked with making our analytics data consumable and actionable to the company by creating reports, surfacing insights and providing recommendations to improve the digital consumer experience. The Data Analysis & GDPR Supervisor will be responsible for overseeing alignment of GDPRs top 15 international brands and products sold in more than 180 markets. In addition to the manufacture and sale of cigarettes, including the number one global cigarette brand, and other tobacco products, PMI is engaged in the development and commercialization of Reduced-Risk Products (“RRPs”). RRPs is the term we use to refer to products that present, are likely to present, or have the potential to present less risk of harm to smokers who switch to these products versus continued smoking. We have a range of RRPs in various stages of development, scientific assessment and commercialization. Because our RRPs do not burn tobacco, they produce far lower quantities of harmful and potentially harmful compounds than found in cigarette smoke. For more information, see www.pmi.com and www.pmiscience.com. PMI is an Equal Opportunity Employer.
15/11/2018
Full time
Philip Morris is leading the transformation of our industry with our Reduced Risk Products, delivering the Smoke Free Future. We are making a major investment in Digital talent within our organisation, driven from the very top. As we transform our industry, so we are transforming our business to be more consumer focused, innovative, agile and forward leaning. To realise our ambitions, we have launched a digital function to drive awareness, consideration, activation and loyalty across our target audiences. Our Digital function are integral in our mission to empower, inspire and co- with our people. Build deep insight, interest and investment in the latest digital communications initiatives. This team will establish our modern communications vision, lead the execution of new projects, capabilities and programmes.
THE OPPORTUNITY
The Data Analysis & GDPR supervisor is responsible for leveraging our analytics platform to understand consumer behaviour and ensure we optimize the digital experience. This role is tasked with making our analytics data consumable and actionable to the company by creating reports, surfacing insights and providing recommendations to improve the digital consumer experience. The Data Analysis & GDPR Supervisor will be responsible for overseeing alignment of GDPRs top 15 international brands and products sold in more than 180 markets. In addition to the manufacture and sale of cigarettes, including the number one global cigarette brand, and other tobacco products, PMI is engaged in the development and commercialization of Reduced-Risk Products (“RRPs”). RRPs is the term we use to refer to products that present, are likely to present, or have the potential to present less risk of harm to smokers who switch to these products versus continued smoking. We have a range of RRPs in various stages of development, scientific assessment and commercialization. Because our RRPs do not burn tobacco, they produce far lower quantities of harmful and potentially harmful compounds than found in cigarette smoke. For more information, see www.pmi.com and www.pmiscience.com. PMI is an Equal Opportunity Employer.
An Senior Data Scientist is required to lead this innovative company's Greenfield data science activity, reporting to senior management you will lead the development of innovative products and applications that use statistics, analytics and machine learning to optimise their products performance.
The company invest heavily in relevant technology and offer the opportunity to be involved in greenfield project work with great scope for progression and upskilling.
Core responsibilities:
Take responsibility for implementing the relevant Data Science methods from concept through to commercial deployment.
Liaise with customers to obtain appropriate data and process the data where necessary
Work closely with the software engineering teams to architect, implement and deliver production solutions
Develop the statistical models and algorithms needed for the relevant applications
Perform in-depth testing of the applications (SaaS)
Present and demonstrate the solutions to customers and third parties
Essential skills:
Will have previous experience in a Data Science role with the ability to lead the Data Science activity internally.
A degree in Computer Science, Engineering, Maths or Scientific discipline
Experience of deploying machine learning applications in the cloud (AWS, Azure)
Experience of using statistical or data analytics techniques to solve similar problems
Self-starter, problem solver with the ability to work on complex problems
Excellent communicator, able to communicate effectively with colleagues and external customers
A backgrounding engineering or energy is highly desirable
The company offer a salary of £50,000 - 70,000 based on experience + benefits.
If you feel you have the right level of experience, please apply to this advert pf contact me via LinkedIn or our Website. Spectrum IT, Paul Grace
15/11/2018
Full time
An Senior Data Scientist is required to lead this innovative company's Greenfield data science activity, reporting to senior management you will lead the development of innovative products and applications that use statistics, analytics and machine learning to optimise their products performance.
The company invest heavily in relevant technology and offer the opportunity to be involved in greenfield project work with great scope for progression and upskilling.
Core responsibilities:
Take responsibility for implementing the relevant Data Science methods from concept through to commercial deployment.
Liaise with customers to obtain appropriate data and process the data where necessary
Work closely with the software engineering teams to architect, implement and deliver production solutions
Develop the statistical models and algorithms needed for the relevant applications
Perform in-depth testing of the applications (SaaS)
Present and demonstrate the solutions to customers and third parties
Essential skills:
Will have previous experience in a Data Science role with the ability to lead the Data Science activity internally.
A degree in Computer Science, Engineering, Maths or Scientific discipline
Experience of deploying machine learning applications in the cloud (AWS, Azure)
Experience of using statistical or data analytics techniques to solve similar problems
Self-starter, problem solver with the ability to work on complex problems
Excellent communicator, able to communicate effectively with colleagues and external customers
A backgrounding engineering or energy is highly desirable
The company offer a salary of £50,000 - 70,000 based on experience + benefits.
If you feel you have the right level of experience, please apply to this advert pf contact me via LinkedIn or our Website. Spectrum IT, Paul Grace
Big Data Developer / Architect is required to join an international and truly progressive company (voted one of the best companies to work) from their head office based in Southampton.
The role of a Big Data Developer will be to work within a small team environment that develop large scale data solutions and transformative cloud hosted data platforms for my client and their growing customer base. You will be working throughout the full lifecycle from developing and delivering early proofs of concepts all the way through to implementation.
The ideal candidate for this position will have a strong level of experience within data ingestion / transformation and ideally have worked for the last few years within Microsoft Azure along with some open source tools.
You will have some experience within:
Microsoft Azure and it's various components e.g. Azure Storage, Azure SQL Data, Azure Data Lake etc…
Experience within Open Source non-relational / NoSQL data repositories e.g. MongoDB, Cassandra, Neo4J
Apache Spark
Experience working within an Agile / DevOps environment
Designing and delivering scalable and re-usable frameworks
Any experience within Apache Solr, Elasticsearch & Kibana along with Axure Search would be highly beneficial
As you will be working in a small team along with liaising with other departments and stakeholders, your communication skills, both written and verbal, must be strong.
This is an excellent opportunity to join a company that can offer a fantastic benefits package, along with further opportunities for personal growth.
15/11/2018
Full time
Big Data Developer / Architect is required to join an international and truly progressive company (voted one of the best companies to work) from their head office based in Southampton.
The role of a Big Data Developer will be to work within a small team environment that develop large scale data solutions and transformative cloud hosted data platforms for my client and their growing customer base. You will be working throughout the full lifecycle from developing and delivering early proofs of concepts all the way through to implementation.
The ideal candidate for this position will have a strong level of experience within data ingestion / transformation and ideally have worked for the last few years within Microsoft Azure along with some open source tools.
You will have some experience within:
Microsoft Azure and it's various components e.g. Azure Storage, Azure SQL Data, Azure Data Lake etc…
Experience within Open Source non-relational / NoSQL data repositories e.g. MongoDB, Cassandra, Neo4J
Apache Spark
Experience working within an Agile / DevOps environment
Designing and delivering scalable and re-usable frameworks
Any experience within Apache Solr, Elasticsearch & Kibana along with Axure Search would be highly beneficial
As you will be working in a small team along with liaising with other departments and stakeholders, your communication skills, both written and verbal, must be strong.
This is an excellent opportunity to join a company that can offer a fantastic benefits package, along with further opportunities for personal growth.
Excelian is looking for SMEs in the Data space to assist our clients in designing and architecting solutions which can process analytics and AI/ML workloads across very large data sets. The objective is to deliver best-in-class solutions for our FS clients globally. You will need to be one of the bests technologists out there, but also have an entrepreneurial mindset to work with our Sales and Management teams to build the offering, take it to market and deliver it by continuing to build the team further. You must be highly collaborative, happy to partner and passionate about technology.
Excelian Digital Consulting is a team of energetic, enthusiastic, expert individuals working together to deliver cutting edge software solutions for the financial services industry. You will be instrumental in helping us find, adapt and invent solutions for complex scenarios. You will be involved in solving workflow problems, developing new ways of visualising data, and working out what digital solutions the client needs in their solution that even they don't realise yet
Responsibilities
You will work alongside a strong, global team of individuals with diverse backgrounds and skills in digital consulting to:
Design solutions leveraging Big Data and Cloud-based solutions targeted at data processing Deliver PoCs for clients Lead teams to deliver solutions as architect and/or tech lead Participate in pre-sales to design architectures and formalise solutions tailored to their needs Engage with the relevant vendors in the space to maintain technology relationships and stay abreast of the latest developments Produce thought leadership collateral for our magazine www.excelian.com/techspark
Skills
Must have:
Strong understanding of the various tech ecosystems in the Data space (Hadoop, NoSQL, data streaming, Cloud-based)
Hands-on experience (4y min) with the Hadoop ecosystem
Hands-on experience with Cloud-based data processing solutions
Experience working in an Agile / DevOps environement and in applying this approach to data-driven solutions
Excellent presentation and communication skills, eagerness to engage with clients on solutions with a creative mindset
Desired:
Experience with Financial Services workloads
Experience with cloud-based data streaming solutions
Exposure / experience to AI/ML solutions, patterns and development languages
Understanding of data visualisation and patterns / solutions available on the market (Tableau, Clikview, Panopticon)
Languages
English: Native
14/11/2018
Full time
Excelian is looking for SMEs in the Data space to assist our clients in designing and architecting solutions which can process analytics and AI/ML workloads across very large data sets. The objective is to deliver best-in-class solutions for our FS clients globally. You will need to be one of the bests technologists out there, but also have an entrepreneurial mindset to work with our Sales and Management teams to build the offering, take it to market and deliver it by continuing to build the team further. You must be highly collaborative, happy to partner and passionate about technology.
Excelian Digital Consulting is a team of energetic, enthusiastic, expert individuals working together to deliver cutting edge software solutions for the financial services industry. You will be instrumental in helping us find, adapt and invent solutions for complex scenarios. You will be involved in solving workflow problems, developing new ways of visualising data, and working out what digital solutions the client needs in their solution that even they don't realise yet
Responsibilities
You will work alongside a strong, global team of individuals with diverse backgrounds and skills in digital consulting to:
Design solutions leveraging Big Data and Cloud-based solutions targeted at data processing Deliver PoCs for clients Lead teams to deliver solutions as architect and/or tech lead Participate in pre-sales to design architectures and formalise solutions tailored to their needs Engage with the relevant vendors in the space to maintain technology relationships and stay abreast of the latest developments Produce thought leadership collateral for our magazine www.excelian.com/techspark
Skills
Must have:
Strong understanding of the various tech ecosystems in the Data space (Hadoop, NoSQL, data streaming, Cloud-based)
Hands-on experience (4y min) with the Hadoop ecosystem
Hands-on experience with Cloud-based data processing solutions
Experience working in an Agile / DevOps environement and in applying this approach to data-driven solutions
Excellent presentation and communication skills, eagerness to engage with clients on solutions with a creative mindset
Desired:
Experience with Financial Services workloads
Experience with cloud-based data streaming solutions
Exposure / experience to AI/ML solutions, patterns and development languages
Understanding of data visualisation and patterns / solutions available on the market (Tableau, Clikview, Panopticon)
Languages
English: Native
IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.
Position Summary
We are recruiting a technically proficient, adaptive person who has experience analysing, designing and developing information solutions to support health and clinical data analytics. This person will be part of an expert technical team and cross-functional country deployment team, responsible for the technical analysis, deployment, testing and customization of a solution to support an oncology data network across Europe.
Responsibilities
Independently lead the development of small to medium system components
Contribute to the design and development of new features and applications
Unit testing, functional and automated testing of new functionality
Review of functional specifications and production of design artefacts
Coordinate release management activities, including alignment with quality and validation processes
Communicating, collaborating and supporting the core development team, distributed country development teams and participating vendors
Provide technical thought leadership and help evaluate emerging technologies and 3rd party products
Other duties as assigned
Required Skills & Experience
5+ years professional software development experience
3+ years professional experience backend Java development
Bachelor’s Degree in Information Technology, Software Engineering, Computer Science, Mathematics, or other related field
Experience with REST API’s, XML and XSD, including development of
Experience with Event-driven Messaging and SOA approaches, including one or more of:
Apache Kafka/Camel, Pentaho, Talend, Mulesoft, Tibco
Ideally possesses experience with integration of analytical packages such as Python, R – experience with the latter beneficial
Experience with at least one RDBMS (Oracle preferred)
Ideally possesses experience with development of data warehouse and multi-dimensional database solutions, including staging, ETL and reporting/analytics
Able to develop queries/procedures in SQL (e.g. PL/SQL, T-SQL)
Exposure to both Windows and Linux environments
Experience in creating unit tests, TDD (test driven development)
Familiarity with Apache open-source frameworks
Experience in an agile development environment preferred
Experience of Master & Reference Data Management
Excellent communication and technical documentation skills
Preferred Experience
Exposure to healthcare \ life sciences \ clinical trials \ pharmaceutical data is highly preferred
Location
Will be based at the London office
We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and whatever your career goals, we are here to ensure you get there!
We invite you to join IQVIA™.
14/11/2018
Full time
IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.
Position Summary
We are recruiting a technically proficient, adaptive person who has experience analysing, designing and developing information solutions to support health and clinical data analytics. This person will be part of an expert technical team and cross-functional country deployment team, responsible for the technical analysis, deployment, testing and customization of a solution to support an oncology data network across Europe.
Responsibilities
Independently lead the development of small to medium system components
Contribute to the design and development of new features and applications
Unit testing, functional and automated testing of new functionality
Review of functional specifications and production of design artefacts
Coordinate release management activities, including alignment with quality and validation processes
Communicating, collaborating and supporting the core development team, distributed country development teams and participating vendors
Provide technical thought leadership and help evaluate emerging technologies and 3rd party products
Other duties as assigned
Required Skills & Experience
5+ years professional software development experience
3+ years professional experience backend Java development
Bachelor’s Degree in Information Technology, Software Engineering, Computer Science, Mathematics, or other related field
Experience with REST API’s, XML and XSD, including development of
Experience with Event-driven Messaging and SOA approaches, including one or more of:
Apache Kafka/Camel, Pentaho, Talend, Mulesoft, Tibco
Ideally possesses experience with integration of analytical packages such as Python, R – experience with the latter beneficial
Experience with at least one RDBMS (Oracle preferred)
Ideally possesses experience with development of data warehouse and multi-dimensional database solutions, including staging, ETL and reporting/analytics
Able to develop queries/procedures in SQL (e.g. PL/SQL, T-SQL)
Exposure to both Windows and Linux environments
Experience in creating unit tests, TDD (test driven development)
Familiarity with Apache open-source frameworks
Experience in an agile development environment preferred
Experience of Master & Reference Data Management
Excellent communication and technical documentation skills
Preferred Experience
Exposure to healthcare \ life sciences \ clinical trials \ pharmaceutical data is highly preferred
Location
Will be based at the London office
We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and whatever your career goals, we are here to ensure you get there!
We invite you to join IQVIA™.
QUALIFICATIONS:
MSc or PhD level in a relevant field (such as Computer Science, Machine Learning, Applied Statistics, Mathematics)
Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning
Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)
Experience in applying data science methods to business problems
Programming experience in languages such as: Python, R, Scala, SQL
Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
Knowledge of distributed computing or NoSQL technologies is a bonus
Proven application of advanced analytical and statistical methods in the commercial world
WHO YOU'LL WORK WITH
As a Principal Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
Mentor Senior Data Scientists and providing guidance to Fellow Data Scientists where required
Be responsible for providing insights to the Leadership team based on client and team learnings
Take ownership of separate work streams, for instance R&D or Recruiting
Be responsible for Recruiting other Data Scientists with the Recruiting team
Plan and execute secure, good practice data integration strategies and approaches
Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
Create and manage data environments in the Cloud
Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
Using a strong understanding of Information Security principles to ensure compliant handling and management of client data
Supporting Data Scientists by creating Views, Queries, and data extracts to help their analysis
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Visit our Careers site to watch our video and read about our interview processes and benefits
14/11/2018
Full time
QUALIFICATIONS:
MSc or PhD level in a relevant field (such as Computer Science, Machine Learning, Applied Statistics, Mathematics)
Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning
Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)
Experience in applying data science methods to business problems
Programming experience in languages such as: Python, R, Scala, SQL
Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
Knowledge of distributed computing or NoSQL technologies is a bonus
Proven application of advanced analytical and statistical methods in the commercial world
WHO YOU'LL WORK WITH
As a Principal Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
Mentor Senior Data Scientists and providing guidance to Fellow Data Scientists where required
Be responsible for providing insights to the Leadership team based on client and team learnings
Take ownership of separate work streams, for instance R&D or Recruiting
Be responsible for Recruiting other Data Scientists with the Recruiting team
Plan and execute secure, good practice data integration strategies and approaches
Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
Create and manage data environments in the Cloud
Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
Using a strong understanding of Information Security principles to ensure compliant handling and management of client data
Supporting Data Scientists by creating Views, Queries, and data extracts to help their analysis
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Visit our Careers site to watch our video and read about our interview processes and benefits
QUALIFICATIONS:
Meaningful experience with at least two of the following technologies: Python, Scala, SQL, Java
Commercial client-facing project experience is helpful, including working in close-knit teams
The ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets
Meaningful experience in multiple database technologies such as:
Distributed Processing (Spark, Hadoop, EMR)
Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL)
MPP (AWS Redshift, Teradata)
NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
A confirmed ability in clearly communicating complex solutions
A deep understanding of Information Security principles to ensure compliant handling and management of client data
Experience and interest in Cloud platforms such as: AWS, Azure, Goole Platform or Databricks
Confirmed experience in traditional data warehousing / ETL tools (Informatica, Talend, Pentaho, DataStage)
Extraordinary attention to detail
WHO YOU'LL WORK WITH
Our Consultant Data Engineers work closely with our clients and our Data Scientists in order to curate, transform and construct features which feed directly into our modelling approach.
This would be a hybrid client-facing/technical role using state of the art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences. Collecting clear requirements is a key part of this role and will define the technical strategy the team employs on the study.
Who you are
A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Trust between colleagues is paramount here – you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for QuantumBlack and our clients. You are naturally enthusiastic and enjoy sharing your passion with others.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
Understanding, assessing and mapping the data landscape.
Maintaining our Information Security standards on the engagement.
Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models.
Defining the technology stack to be provisioned by our infrastructure team.
Building modular pipeline to construct features and modelling tables.
Use new and creative techniques to deliver impact for our clients as well as internal R&D projects.
Mentoring and developing junior Data Engineers on engagements.
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end pipelines.
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations.
Be focused on the wrangling, clean-up and transformation of data by working alongside the Data Science team which focuses on modelling the data.
Using new technologies and problem-solving skills in a multicultural and creative environment.
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Visit our Careers site to watch our video and read about our interview processes and benefits
As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.
14/11/2018
Full time
QUALIFICATIONS:
Meaningful experience with at least two of the following technologies: Python, Scala, SQL, Java
Commercial client-facing project experience is helpful, including working in close-knit teams
The ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets
Meaningful experience in multiple database technologies such as:
Distributed Processing (Spark, Hadoop, EMR)
Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL)
MPP (AWS Redshift, Teradata)
NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
A confirmed ability in clearly communicating complex solutions
A deep understanding of Information Security principles to ensure compliant handling and management of client data
Experience and interest in Cloud platforms such as: AWS, Azure, Goole Platform or Databricks
Confirmed experience in traditional data warehousing / ETL tools (Informatica, Talend, Pentaho, DataStage)
Extraordinary attention to detail
WHO YOU'LL WORK WITH
Our Consultant Data Engineers work closely with our clients and our Data Scientists in order to curate, transform and construct features which feed directly into our modelling approach.
This would be a hybrid client-facing/technical role using state of the art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences. Collecting clear requirements is a key part of this role and will define the technical strategy the team employs on the study.
Who you are
A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Trust between colleagues is paramount here – you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for QuantumBlack and our clients. You are naturally enthusiastic and enjoy sharing your passion with others.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
Understanding, assessing and mapping the data landscape.
Maintaining our Information Security standards on the engagement.
Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models.
Defining the technology stack to be provisioned by our infrastructure team.
Building modular pipeline to construct features and modelling tables.
Use new and creative techniques to deliver impact for our clients as well as internal R&D projects.
Mentoring and developing junior Data Engineers on engagements.
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end pipelines.
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations.
Be focused on the wrangling, clean-up and transformation of data by working alongside the Data Science team which focuses on modelling the data.
Using new technologies and problem-solving skills in a multicultural and creative environment.
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Visit our Careers site to watch our video and read about our interview processes and benefits
As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.
Role : Data Scientist Salary : £70k - £90k + Package and home working Location : Central London
A Data Scientist is needed for a up coming Software House based in Central London. They are building a range of AI powered products to improve how businesses interact with their customers on and offline.
They have a flexible work environment with only 2 days needed in the office each week.
The role is to build innovative machine learning algorithms via Python and its libraries to solve complex real world challenges. A number of key projects will revolve around text analytics, NLP and sentiment analysis. Given the complexity in putting ML programmes into live environments your skills will be pivotal to the company's success.
This role is a hybrid between software engineering via Python and data science (sentiment analysis, time-series etc).
You will join an established team of machine learning engineers and data scientists. You will work alongside the engineering team and product teams to design new solutions.
Key Skills and Abilities :- Strong mathematical and theoretical understanding of machine learning and statistical modelling.- Hands on experience in prototyping, building, deploying and evaluating machine learning in production and at scale.- Strong Python programming skills, and experience with machine learning and Python libraries such as Tensorflow, scikit-learn, Keras, Spark.- Critical thinker and problem-solving skills.- Enjoyment in solving problems and building successful products.
Nice to have :- Expertise with NLP applications, such as sentiment analysis, conversational agents, automatic summarisation and document classification.- Experience with NoSQL / SQL databases like MongoDB, MySQL, RedShift, SnowFlake- Experience with AWS
If you are interested in this Data Scientist or Machine Learning Engineer positions, please do not
hesitate to apply for further details.
Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Modis International Ltd UK is an Equal Opportunities Employer.
By applying for this role your details will be submitted to Modis. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser: www.modis.co.uk/candidate-privacy-information-statement
14/11/2018
Full time
Role : Data Scientist Salary : £70k - £90k + Package and home working Location : Central London
A Data Scientist is needed for a up coming Software House based in Central London. They are building a range of AI powered products to improve how businesses interact with their customers on and offline.
They have a flexible work environment with only 2 days needed in the office each week.
The role is to build innovative machine learning algorithms via Python and its libraries to solve complex real world challenges. A number of key projects will revolve around text analytics, NLP and sentiment analysis. Given the complexity in putting ML programmes into live environments your skills will be pivotal to the company's success.
This role is a hybrid between software engineering via Python and data science (sentiment analysis, time-series etc).
You will join an established team of machine learning engineers and data scientists. You will work alongside the engineering team and product teams to design new solutions.
Key Skills and Abilities :- Strong mathematical and theoretical understanding of machine learning and statistical modelling.- Hands on experience in prototyping, building, deploying and evaluating machine learning in production and at scale.- Strong Python programming skills, and experience with machine learning and Python libraries such as Tensorflow, scikit-learn, Keras, Spark.- Critical thinker and problem-solving skills.- Enjoyment in solving problems and building successful products.
Nice to have :- Expertise with NLP applications, such as sentiment analysis, conversational agents, automatic summarisation and document classification.- Experience with NoSQL / SQL databases like MongoDB, MySQL, RedShift, SnowFlake- Experience with AWS
If you are interested in this Data Scientist or Machine Learning Engineer positions, please do not
hesitate to apply for further details.
Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Modis International Ltd UK is an Equal Opportunities Employer.
By applying for this role your details will be submitted to Modis. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser: www.modis.co.uk/candidate-privacy-information-statement
Post - Doc Machine Learning Engineer, Engineering, Science, Physics, Computing, PhD, MSc, BSc, ML, £depending on experience + benefits, Cambridge
This unique and entrepreneurial R&D Company are not your everyday organisation. They cleverly brought together probably some of the smartest scientists, academics and engineers as well as being a fun and rewarding place to work. Their history is an impressive one starting out with just a number of people they have recently been named in a number of media sources as a company to watch out for.
If you really are looking to be challenged not only mathematically but on a day to basis with a number of complex tasks then this could be the job for you.
They currently have some of the brightest academics working for them, however, they realise that everyone is different and company culture is at the core of what they do.
For the Machine Learning Engineer job we like to have the chance to speak to candidates with strong academic backgrounds including Post-Doc's holding a 2.1 or better from a highly ranking university with a degree in a scientific, mathematical, computing or engineering field, outstanding mathematical capabilities is a must, proven knowledge working with Machine Learning, distributed computing, being involved with actual deployment, familiar with Linux and excellent coding abilities in C++, Java or Python.
Naturally for a job like this we please ask that are a detailed person with first class analytical capabilities too, the more detailed your CV with examples then the better.
This job would fit someone looking to work alongside other bright individuals in the Data Science team, Data Storage, processing, Developing Machine Learning Pipelines and assisting with high performing real-time models.Great offices, smart benefits including team outings throughout the year and more!
This company was founded by some of the cleverest academics so this is an opportunity not to be missed.Sound good?
Feel free to apply via the link and we are happy to speak to you on 01223 365197.
Please be assured that your CV will be treated in the strictest confidence and we would always speak to you before discussing your CV with any potential employer.
Please note we are on the client's supplier list for this position.
MODIS are operating as an Employment Agency. MODIS are an equal opportunities employer
Keywords - Job, Post-Doc, PhD, BSc, C++, Java, Python, Linux, Cambridge, Technology, Degree, Engineer, Mathematics, Physics, Science
Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Modis International Ltd UK is an Equal Opportunities Employer.
By applying for this role your details will be submitted to Modis. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser: www.modis.co.uk/candidate-privacy-information-statement
13/11/2018
Full time
Post - Doc Machine Learning Engineer, Engineering, Science, Physics, Computing, PhD, MSc, BSc, ML, £depending on experience + benefits, Cambridge
This unique and entrepreneurial R&D Company are not your everyday organisation. They cleverly brought together probably some of the smartest scientists, academics and engineers as well as being a fun and rewarding place to work. Their history is an impressive one starting out with just a number of people they have recently been named in a number of media sources as a company to watch out for.
If you really are looking to be challenged not only mathematically but on a day to basis with a number of complex tasks then this could be the job for you.
They currently have some of the brightest academics working for them, however, they realise that everyone is different and company culture is at the core of what they do.
For the Machine Learning Engineer job we like to have the chance to speak to candidates with strong academic backgrounds including Post-Doc's holding a 2.1 or better from a highly ranking university with a degree in a scientific, mathematical, computing or engineering field, outstanding mathematical capabilities is a must, proven knowledge working with Machine Learning, distributed computing, being involved with actual deployment, familiar with Linux and excellent coding abilities in C++, Java or Python.
Naturally for a job like this we please ask that are a detailed person with first class analytical capabilities too, the more detailed your CV with examples then the better.
This job would fit someone looking to work alongside other bright individuals in the Data Science team, Data Storage, processing, Developing Machine Learning Pipelines and assisting with high performing real-time models.Great offices, smart benefits including team outings throughout the year and more!
This company was founded by some of the cleverest academics so this is an opportunity not to be missed.Sound good?
Feel free to apply via the link and we are happy to speak to you on 01223 365197.
Please be assured that your CV will be treated in the strictest confidence and we would always speak to you before discussing your CV with any potential employer.
Please note we are on the client's supplier list for this position.
MODIS are operating as an Employment Agency. MODIS are an equal opportunities employer
Keywords - Job, Post-Doc, PhD, BSc, C++, Java, Python, Linux, Cambridge, Technology, Degree, Engineer, Mathematics, Physics, Science
Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Modis International Ltd UK is an Equal Opportunities Employer.
By applying for this role your details will be submitted to Modis. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser: www.modis.co.uk/candidate-privacy-information-statement
Senior Software Engineer Machine Learning & AI Solutions, RWAS Technology
We are serious about data. We don’t have ping pong or a snooze room. We have a dedicated, collaborative team with meaningful shared goals who can use the most cutting-edge technology, the largest data sets, and the best analytics tools to achieve them. And we have fun on the journey!
We invite you to be part of a recognized global leader still willing to challenge the status quo to improve patient care. You will be in good company, amongst some of the finest minds in Technology and Healthcare.
The Role
Play an essential role as part of a product engineering team, who develop healthcare web applications with machine learning components.
You will lead the development of an analytics platform, both front-end and back-end components, focusing on creating an informative, smooth, and beautiful experience for the users, along with rapid customisation to client needs.
You’ll build upon our microservices architecture and modular UI, ensuring the possibility of deployment in the cloud and on premise. You will work closely with our big data and machine learning teams to achieve the vision.
The ability to learn extremely fast and rapidly build skills in cutting-edge technologies is essential; you will need to bring a depth of experience in full stack development and web technologies, be open about your strengths and weaknesses, and quickly identify how to move you and your team to the next step. A broad understanding of the latest data science technologies is a plus but not a requirement.
You will need to understand the full range of tasks involved in constructing effective and beautiful user-facing applications, from the underlying processing to the end-user experience.
If you are highly collaborative, innovative, flexible, excellent at communication, writing high quality code and taking initiative, please apply without delay!
Our ideal candidate: Experience
You will have a strong background in commercial software development, and will have worked on multiple web applications, both back-end and front-end, with modern languages and frameworks.
You have experience working with Agile methodology such as Scrum or Kanban and familiarity with software development practices such as Continuous Integration, Behaviour-Driven Development and DevOps. You will have strong opinions on how to design high-quality, maintainable code for the long-term.
You will have had some commercial experience of data exploration, cleansing, and the processing of messy data and experience working with very large datasets in SQL databases.
You will have a degree in a quantitative discipline (computer science, mathematics, physics, artificial intelligence or similar).
Additionally, knowledge of the latest developments in machine learning and some experience of engineering with the relevant technologies on commercial or large academic projects is welcome.
Our ideal candidate: Tech Skills
Significant experience (ideally long-term commercial projects) developing in at least two of the following: Go, TypeScript, JavaScript (ideally ReactJS), Python, Scala, Java, or C++. You might have a lot of experience in just one of these, but ideally you will have at least dabbled in one more.
Experience working with REST architectures and API design, or GraphQL.
Experience (at least one project) working with a variety of data storage and processing technologies such as SQL, Oracle, PostgreSQL, MariaDB, Redis, MongoDB, Hadoop, Spark, Kafka, Cassandra.
Bonus points for working with cloud technologies such as AWS, GCP, Azure and also container systems like Docker and Kubernetes.
The Team: Machine Learning & AI Solutions
This high-profile team work on ground-breaking problems in health outcomes across disease areas including Ophthalmology, Oncology, Neurology, Chronic diseases (such as diabetes), and a variety of very rare conditions. The team works hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWAS team, leveraging a vast variety of anonymous patient-level information. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers.
We are looking for a creative, innovative, intellectually-curious Senior Data/Software Engineer to join our RWAS Technology division in London, Kings Cross. This is an exciting opportunity to be part of one of the world's leading Real World Evidence-based teams, working to help our clients answer specific questions globally, make more informed decisions and deliver results.
The Business Unit: Real-World & Analytics Solutions (RWAS) Technology
“Big Data” is changing the way that the healthcare world operates and, now more than ever, the key to better patient outcomes is through better use of technology, seamlessly integrated information and analytics. Our Predictive Analytics team within the Real-World & Analytics Solutions (RWAS) Technology division is a fast-growing group of collaborative, enthusiastic, and entrepreneurial individuals. In our quest to harness the value of Real World Evidence (RWE), we are at the centre of IQVIA’s pursuit of machine learning and cutting-edge statistical methods to advance healthcare. Our efforts improve retrospective clinical studies, under-diagnosis of rare diseases, personalized treatment response profiles, disease progression predictions, and clinical decision-support tools.
We invite you to join IQVIA™.
IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.
13/11/2018
Full time
Senior Software Engineer Machine Learning & AI Solutions, RWAS Technology
We are serious about data. We don’t have ping pong or a snooze room. We have a dedicated, collaborative team with meaningful shared goals who can use the most cutting-edge technology, the largest data sets, and the best analytics tools to achieve them. And we have fun on the journey!
We invite you to be part of a recognized global leader still willing to challenge the status quo to improve patient care. You will be in good company, amongst some of the finest minds in Technology and Healthcare.
The Role
Play an essential role as part of a product engineering team, who develop healthcare web applications with machine learning components.
You will lead the development of an analytics platform, both front-end and back-end components, focusing on creating an informative, smooth, and beautiful experience for the users, along with rapid customisation to client needs.
You’ll build upon our microservices architecture and modular UI, ensuring the possibility of deployment in the cloud and on premise. You will work closely with our big data and machine learning teams to achieve the vision.
The ability to learn extremely fast and rapidly build skills in cutting-edge technologies is essential; you will need to bring a depth of experience in full stack development and web technologies, be open about your strengths and weaknesses, and quickly identify how to move you and your team to the next step. A broad understanding of the latest data science technologies is a plus but not a requirement.
You will need to understand the full range of tasks involved in constructing effective and beautiful user-facing applications, from the underlying processing to the end-user experience.
If you are highly collaborative, innovative, flexible, excellent at communication, writing high quality code and taking initiative, please apply without delay!
Our ideal candidate: Experience
You will have a strong background in commercial software development, and will have worked on multiple web applications, both back-end and front-end, with modern languages and frameworks.
You have experience working with Agile methodology such as Scrum or Kanban and familiarity with software development practices such as Continuous Integration, Behaviour-Driven Development and DevOps. You will have strong opinions on how to design high-quality, maintainable code for the long-term.
You will have had some commercial experience of data exploration, cleansing, and the processing of messy data and experience working with very large datasets in SQL databases.
You will have a degree in a quantitative discipline (computer science, mathematics, physics, artificial intelligence or similar).
Additionally, knowledge of the latest developments in machine learning and some experience of engineering with the relevant technologies on commercial or large academic projects is welcome.
Our ideal candidate: Tech Skills
Significant experience (ideally long-term commercial projects) developing in at least two of the following: Go, TypeScript, JavaScript (ideally ReactJS), Python, Scala, Java, or C++. You might have a lot of experience in just one of these, but ideally you will have at least dabbled in one more.
Experience working with REST architectures and API design, or GraphQL.
Experience (at least one project) working with a variety of data storage and processing technologies such as SQL, Oracle, PostgreSQL, MariaDB, Redis, MongoDB, Hadoop, Spark, Kafka, Cassandra.
Bonus points for working with cloud technologies such as AWS, GCP, Azure and also container systems like Docker and Kubernetes.
The Team: Machine Learning & AI Solutions
This high-profile team work on ground-breaking problems in health outcomes across disease areas including Ophthalmology, Oncology, Neurology, Chronic diseases (such as diabetes), and a variety of very rare conditions. The team works hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWAS team, leveraging a vast variety of anonymous patient-level information. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers.
We are looking for a creative, innovative, intellectually-curious Senior Data/Software Engineer to join our RWAS Technology division in London, Kings Cross. This is an exciting opportunity to be part of one of the world's leading Real World Evidence-based teams, working to help our clients answer specific questions globally, make more informed decisions and deliver results.
The Business Unit: Real-World & Analytics Solutions (RWAS) Technology
“Big Data” is changing the way that the healthcare world operates and, now more than ever, the key to better patient outcomes is through better use of technology, seamlessly integrated information and analytics. Our Predictive Analytics team within the Real-World & Analytics Solutions (RWAS) Technology division is a fast-growing group of collaborative, enthusiastic, and entrepreneurial individuals. In our quest to harness the value of Real World Evidence (RWE), we are at the centre of IQVIA’s pursuit of machine learning and cutting-edge statistical methods to advance healthcare. Our efforts improve retrospective clinical studies, under-diagnosis of rare diseases, personalized treatment response profiles, disease progression predictions, and clinical decision-support tools.
We invite you to join IQVIA™.
IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.
QUALIFICATIONS:
Meaningful experience with at least two of the following technologies: Python, Scala, SQL, Java
Commercial client-facing project experience is helpful, including working in close-knit teams
The ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets
Meaningful experience in multiple database technologies such as:
Distributed Processing (Spark, Hadoop, EMR)
Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL)
MPP (AWS Redshift, Teradata)
NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
A confirmed ability in clearly communicating complex solutions
A deep understanding of Information Security principles to ensure compliant handling and management of client data
Experience and interest in Cloud platforms such as: AWS, Azure, Goole Platform or Databricks
Confirmed experience in traditional data warehousing / ETL tools (Informatica, Talend, Pentaho, DataStage)
Extraordinary attention to detail
WHO YOU'LL WORK WITH
Our Consultant Data Engineers work closely with our clients and our Data Scientists in order to curate, transform and construct features which feed directly into our modelling approach.
This would be a hybrid client-facing/technical role using state of the art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences. Collecting clear requirements is a key part of this role and will define the technical strategy the team employs on the study.
Who you are
A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Trust between colleagues is paramount here – you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for QuantumBlack and our clients. You are naturally enthusiastic and enjoy sharing your passion with others.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
Understanding, assessing and mapping the data landscape.
Maintaining our Information Security standards on the engagement.
Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models.
Defining the technology stack to be provisioned by our infrastructure team.
Building modular pipeline to construct features and modelling tables.
Use new and creative techniques to deliver impact for our clients as well as internal R&D projects.
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end pipelines.
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations.
Be focused on the wrangling, clean-up and transformation of data by working alongside the Data Science team which focuses on modelling the data.
Using new technologies and problem-solving skills in a multicultural and creative environment.
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Visit our Careers site to watch our video and read about our interview processes and benefits
As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.
13/11/2018
Full time
QUALIFICATIONS:
Meaningful experience with at least two of the following technologies: Python, Scala, SQL, Java
Commercial client-facing project experience is helpful, including working in close-knit teams
The ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets
Meaningful experience in multiple database technologies such as:
Distributed Processing (Spark, Hadoop, EMR)
Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL)
MPP (AWS Redshift, Teradata)
NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
A confirmed ability in clearly communicating complex solutions
A deep understanding of Information Security principles to ensure compliant handling and management of client data
Experience and interest in Cloud platforms such as: AWS, Azure, Goole Platform or Databricks
Confirmed experience in traditional data warehousing / ETL tools (Informatica, Talend, Pentaho, DataStage)
Extraordinary attention to detail
WHO YOU'LL WORK WITH
Our Consultant Data Engineers work closely with our clients and our Data Scientists in order to curate, transform and construct features which feed directly into our modelling approach.
This would be a hybrid client-facing/technical role using state of the art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences. Collecting clear requirements is a key part of this role and will define the technical strategy the team employs on the study.
Who you are
A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Trust between colleagues is paramount here – you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for QuantumBlack and our clients. You are naturally enthusiastic and enjoy sharing your passion with others.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
Understanding, assessing and mapping the data landscape.
Maintaining our Information Security standards on the engagement.
Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models.
Defining the technology stack to be provisioned by our infrastructure team.
Building modular pipeline to construct features and modelling tables.
Use new and creative techniques to deliver impact for our clients as well as internal R&D projects.
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end pipelines.
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations.
Be focused on the wrangling, clean-up and transformation of data by working alongside the Data Science team which focuses on modelling the data.
Using new technologies and problem-solving skills in a multicultural and creative environment.
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Visit our Careers site to watch our video and read about our interview processes and benefits
As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.
QUALIFICATIONS:
MSc or PhD level in a relevant field (such as Computer Science, Machine Learning, Applied Statistics, Mathematics)
Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning
Demonstrated senior-level leadership (thought leadership or people leadership e.g. managed project teams or direct reports) in engaging with C-level executives and technical clients
Experience in applying data science methods to business problems
Programming experience in languages such as: Python, R, Scala, SQL
Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
Knowledge of distributed computing or NoSQL technologies is a bonus
Proven application of advanced analytical and statistical methods in the commercial world
WHO YOU'LL WORK WITH
As a Senior Principal Data Scientist at QuantumBlack, you will lead other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
Mentor Principal Data Scientists and provide guidance to Fellow Data Scientists where required
Be responsible for providing insights to the Leadership team based on client and team learnings
Take ownership of separate work streams, for instance R&D or Recruiting
Be responsible for Recruiting other Data Scientists with the Recruiting team
Plan and execute secure, good practice data integration strategies and approaches
Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
Create and manage data environments in the Cloud
Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
Using a strong understanding of Information Security principles to ensure compliant handling and management of client data
Supporting Data Scientists by creating Views, Queries, and data extracts to help their analysis
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Visit our Careers site to watch our video and read about our interview processes and benefits
13/11/2018
Full time
QUALIFICATIONS:
MSc or PhD level in a relevant field (such as Computer Science, Machine Learning, Applied Statistics, Mathematics)
Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning
Demonstrated senior-level leadership (thought leadership or people leadership e.g. managed project teams or direct reports) in engaging with C-level executives and technical clients
Experience in applying data science methods to business problems
Programming experience in languages such as: Python, R, Scala, SQL
Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
Knowledge of distributed computing or NoSQL technologies is a bonus
Proven application of advanced analytical and statistical methods in the commercial world
WHO YOU'LL WORK WITH
As a Senior Principal Data Scientist at QuantumBlack, you will lead other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
Mentor Principal Data Scientists and provide guidance to Fellow Data Scientists where required
Be responsible for providing insights to the Leadership team based on client and team learnings
Take ownership of separate work streams, for instance R&D or Recruiting
Be responsible for Recruiting other Data Scientists with the Recruiting team
Plan and execute secure, good practice data integration strategies and approaches
Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
Create and manage data environments in the Cloud
Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
Using a strong understanding of Information Security principles to ensure compliant handling and management of client data
Supporting Data Scientists by creating Views, Queries, and data extracts to help their analysis
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Visit our Careers site to watch our video and read about our interview processes and benefits
Data Team Lead
Home based or office based in UK, Ireland, France, Italy, Spain or Portugal
Within IQVIA, our Real-World Analytics Solutions ( RWAS ) business unit employs over 1,000 dedicated staff to design, implement and manage real-world and post-marketing studies. As healthcare stakeholders increasingly need evidence to support regulatory, reimbursement and prescribing decisions, the IQVIA RWES team offers a comprehensive evidence approach to meet our customer’s unique needs for demonstrating safety, effectiveness and quality.
Data Team Leads independently manage the end-to-end delivery of data management services for single/multi-service projects, ensuring quality deliverables are completed on time and within budget, to customer satisfaction. They provide comprehensive data management expertise to the Clinical Data Management (CDM) team, and provide leadership and vision in the areas of project planning, execution, and close-out; financial management; communications; and milestone deliverables.
While each project may be different, our Data Team Leads (DTL’s) may serve as primary point of contact for clients on data management deliverables, and provide project management expertise working with client-side data managers, key decision makers, and internal team members. They may also lead direct negotiations with customer, maintaining strong relationships at all times.
Additionally Service Management is also a key responsibility: DTL’s will work with the Data Operations team members on a regular basis to ensure milestones meet timelines and quality deliverables, and provide training and development on data management expertise to junior team members. They may serve as the escalation point for unresolved data issues; and independently work with client data managers, vendors, internal team members for resolution. They will also be responsible for creating and/or reviewing and signing-off on all data management plan (DMP) documents.
DTL’s will train and mentor junior DTL staff in Data Management expertise, and may coordinate the work of more junior DTL staff . They’ll be expected to review financial reports on a monthly basis and participate in project reviews as requested, as well as participating in pricing discussions across customer account and supporting the RFP process.
There may also be opportunities for professional development through presenting at professional conferences and/or publishing articles in professional journals, and providing review and expert opinion in developing, revising, and maintaining core operating procedures and work instructions.
To be successful in this role you’ll need to have previous experience and proven competence in managing the delivery of multiple global trials through the full Data Management life-cycle (i.e. large trials of at least 1000 patients) – ideally within late phase trials.
You’ll also need:
Demonstrated expert data management skills and advanced knowledge of the data management process (e.g., therapeutic area, extensive knowledge in DM processes, SAE reconciliation, external data vendor reconciliation, management of local laboratory data, and/or new technology)
Previous experience and proven competence in handling complex customer negotiations and bid defense meetings independently
Knowledge of Medical Terminology, Pharmacology, Anatomy, and/or Physiology
Knowledge of operating procedures and work instructions and the ability to apply them in practice
Knowledge of Good Clinical Practices and relevant regulatory guidelines
Excellent communication, interpersonal, customer service, and teamwork skills.
Next steps:
You will be contacted by one of our recruiters to arrange a prescreen call should your background be relevant for this opportunity who will be able to give you more information on this team and the opportunity and also explain the assessment process to you for this role.
12/11/2018
Full time
Data Team Lead
Home based or office based in UK, Ireland, France, Italy, Spain or Portugal
Within IQVIA, our Real-World Analytics Solutions ( RWAS ) business unit employs over 1,000 dedicated staff to design, implement and manage real-world and post-marketing studies. As healthcare stakeholders increasingly need evidence to support regulatory, reimbursement and prescribing decisions, the IQVIA RWES team offers a comprehensive evidence approach to meet our customer’s unique needs for demonstrating safety, effectiveness and quality.
Data Team Leads independently manage the end-to-end delivery of data management services for single/multi-service projects, ensuring quality deliverables are completed on time and within budget, to customer satisfaction. They provide comprehensive data management expertise to the Clinical Data Management (CDM) team, and provide leadership and vision in the areas of project planning, execution, and close-out; financial management; communications; and milestone deliverables.
While each project may be different, our Data Team Leads (DTL’s) may serve as primary point of contact for clients on data management deliverables, and provide project management expertise working with client-side data managers, key decision makers, and internal team members. They may also lead direct negotiations with customer, maintaining strong relationships at all times.
Additionally Service Management is also a key responsibility: DTL’s will work with the Data Operations team members on a regular basis to ensure milestones meet timelines and quality deliverables, and provide training and development on data management expertise to junior team members. They may serve as the escalation point for unresolved data issues; and independently work with client data managers, vendors, internal team members for resolution. They will also be responsible for creating and/or reviewing and signing-off on all data management plan (DMP) documents.
DTL’s will train and mentor junior DTL staff in Data Management expertise, and may coordinate the work of more junior DTL staff . They’ll be expected to review financial reports on a monthly basis and participate in project reviews as requested, as well as participating in pricing discussions across customer account and supporting the RFP process.
There may also be opportunities for professional development through presenting at professional conferences and/or publishing articles in professional journals, and providing review and expert opinion in developing, revising, and maintaining core operating procedures and work instructions.
To be successful in this role you’ll need to have previous experience and proven competence in managing the delivery of multiple global trials through the full Data Management life-cycle (i.e. large trials of at least 1000 patients) – ideally within late phase trials.
You’ll also need:
Demonstrated expert data management skills and advanced knowledge of the data management process (e.g., therapeutic area, extensive knowledge in DM processes, SAE reconciliation, external data vendor reconciliation, management of local laboratory data, and/or new technology)
Previous experience and proven competence in handling complex customer negotiations and bid defense meetings independently
Knowledge of Medical Terminology, Pharmacology, Anatomy, and/or Physiology
Knowledge of operating procedures and work instructions and the ability to apply them in practice
Knowledge of Good Clinical Practices and relevant regulatory guidelines
Excellent communication, interpersonal, customer service, and teamwork skills.
Next steps:
You will be contacted by one of our recruiters to arrange a prescreen call should your background be relevant for this opportunity who will be able to give you more information on this team and the opportunity and also explain the assessment process to you for this role.
QUALIFICATIONS
MSc or degree in Computer Science or a relevant subject
Strong coding skills in Python. Experience with pandas, scikit-learn, matplotlib a big plus.
Practical experience with machine learning methods, such as Linear Regression, Decision Trees, Random Forest, Deep Learning, etc
Solid understanding of good software engineering principles
Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce is desirable but not essential
Good knowledge of testing frameworks and libraries
Good knowledge of database management languages e.g. SQL, PostgreSQL
WHO YOU'LL WORK WITH
You will have the opportunity to work on complex problems with our clients across a number of domains. You will work part of a highly collaborative and cross-functional team of Data Scientists, Data Architects, Engineers and Designers.
Who you are
A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Trust between colleagues is paramount here – you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for QuantumBlack and our clients. You are naturally enthusiastic and enjoy sharing your passion with others.
WHAT YOU'LL DO
As a Machine Learning Engineer, you are a keen problem solver who uses technology to solve complex analytical problems. You have a deep interest in Big Data technologies, Analytics and Data Science. You know how to engineer beautiful code in Python and/or Scala (and Spark) but also can read R and take pride in what you produce.
Role responsibilities
Work closely with Data Scientists and Data Engineers to productionise and deploy machine learning models
Work with the guild leadership to set the standards for software engineering practices within the machine learning engineering team and support across other disciplines
Play an active role in leading team meetings and workshops with clients
Choose and use the right analytical libraries, programming languages, and frameworks for each task
Produce high-quality code that allows us to put solutions into production
Refactor code into reusable libraries, APIs, and tools
Help us to shape the next generation of our products
Rotate between client project work and internal product development in alignment with your personal development plan
Who we are
QuantumBlack teams work in multi-disciplinary environments harnessing data to provide real-world impact. We bring together the brightest data scientists, engineers and designers to take on the biggest problems facing the world’s most influential organisations. Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture.
No project is ever the same - we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture - Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Visit our Careers site to watch our video and read about our interview processes and benefits.
12/11/2018
Full time
QUALIFICATIONS
MSc or degree in Computer Science or a relevant subject
Strong coding skills in Python. Experience with pandas, scikit-learn, matplotlib a big plus.
Practical experience with machine learning methods, such as Linear Regression, Decision Trees, Random Forest, Deep Learning, etc
Solid understanding of good software engineering principles
Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce is desirable but not essential
Good knowledge of testing frameworks and libraries
Good knowledge of database management languages e.g. SQL, PostgreSQL
WHO YOU'LL WORK WITH
You will have the opportunity to work on complex problems with our clients across a number of domains. You will work part of a highly collaborative and cross-functional team of Data Scientists, Data Architects, Engineers and Designers.
Who you are
A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Trust between colleagues is paramount here – you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for QuantumBlack and our clients. You are naturally enthusiastic and enjoy sharing your passion with others.
WHAT YOU'LL DO
As a Machine Learning Engineer, you are a keen problem solver who uses technology to solve complex analytical problems. You have a deep interest in Big Data technologies, Analytics and Data Science. You know how to engineer beautiful code in Python and/or Scala (and Spark) but also can read R and take pride in what you produce.
Role responsibilities
Work closely with Data Scientists and Data Engineers to productionise and deploy machine learning models
Work with the guild leadership to set the standards for software engineering practices within the machine learning engineering team and support across other disciplines
Play an active role in leading team meetings and workshops with clients
Choose and use the right analytical libraries, programming languages, and frameworks for each task
Produce high-quality code that allows us to put solutions into production
Refactor code into reusable libraries, APIs, and tools
Help us to shape the next generation of our products
Rotate between client project work and internal product development in alignment with your personal development plan
Who we are
QuantumBlack teams work in multi-disciplinary environments harnessing data to provide real-world impact. We bring together the brightest data scientists, engineers and designers to take on the biggest problems facing the world’s most influential organisations. Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture.
No project is ever the same - we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture - Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Visit our Careers site to watch our video and read about our interview processes and benefits.
QUALIFICATIONS
MSc or PhD level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics
Experience in statistical modelling and machine learning techniques
Programming experience in at least two of the following languages: R, Python, Scala, SQL
Experience in applying data science methods to business problems
Experience in applying advanced analytical and statistical methods in the commercial world
Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other field
WHO YOU'LL WORK WITH
As a Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work on complex and extremely varied data sets from some of the world’s largest organisations to solve real world problems
Develop data science products and solutions for clients as well as for our data science team
Write highly optimized code to advance our internal Data Science Toolbox
Work in a multi-disciplinary environment with specialists in machine learning, engineering and design
Add real-world impact to your academic expertise, as you are encouraged to write ‘black’ papers and present at meetings and conferences should you wish
Attend conferences such as NIPS and ICML as one global team as well as Data Science retrospectives where you will have the opportunity to share and learn from your co-workers.
Work within one of the largest and most advanced data science teams in London, support the Lead Data Scientists to develop data science products
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Visit our Careers site to watch our video and read about our interview processes and benefits
As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.
12/11/2018
Full time
QUALIFICATIONS
MSc or PhD level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics
Experience in statistical modelling and machine learning techniques
Programming experience in at least two of the following languages: R, Python, Scala, SQL
Experience in applying data science methods to business problems
Experience in applying advanced analytical and statistical methods in the commercial world
Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other field
WHO YOU'LL WORK WITH
As a Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work on complex and extremely varied data sets from some of the world’s largest organisations to solve real world problems
Develop data science products and solutions for clients as well as for our data science team
Write highly optimized code to advance our internal Data Science Toolbox
Work in a multi-disciplinary environment with specialists in machine learning, engineering and design
Add real-world impact to your academic expertise, as you are encouraged to write ‘black’ papers and present at meetings and conferences should you wish
Attend conferences such as NIPS and ICML as one global team as well as Data Science retrospectives where you will have the opportunity to share and learn from your co-workers.
Work within one of the largest and most advanced data science teams in London, support the Lead Data Scientists to develop data science products
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Visit our Careers site to watch our video and read about our interview processes and benefits
As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.
Data Engineer needed to join a well know Data Science and technology leader! As the Data Engineer you will have a strong and successful commercial career in Data Engineering and have a strong interest in all things data related.
As the Data Engineer, you will be responsible for the collaboration between data scientists and data engineers to identify and develop solutions. Work on data integration and work with big data migration strategies.
Essential
Experience developing ETL and data integration solutions
Strong SQL skills and experience working with a relational database (MySQL, Postgres, MySQL, Oracle etc…)
Experience working with data warehouse solutions, extracting and processing data in various ways using off-the-shelf tools and open-source tools
Experience with a general purpose programming language, 3+ years' experience one of (Python a plus, JVM languages, JS, Ruby)
Working with Linux or Windows operating systems and version control systems (Git) (3+ years)
Desirable
Hands-on experience with cloud environments (AWS preferred)
Building API's and apps using Python/JS or an alternative language
Knowledge of Hadoop technology (Map-reduce, HDFS, Hive)
Capita IT Resourcing is acting as an Employment Agency in relation to this vacancy.
03/11/2018
Full time
Data Engineer needed to join a well know Data Science and technology leader! As the Data Engineer you will have a strong and successful commercial career in Data Engineering and have a strong interest in all things data related.
As the Data Engineer, you will be responsible for the collaboration between data scientists and data engineers to identify and develop solutions. Work on data integration and work with big data migration strategies.
Essential
Experience developing ETL and data integration solutions
Strong SQL skills and experience working with a relational database (MySQL, Postgres, MySQL, Oracle etc…)
Experience working with data warehouse solutions, extracting and processing data in various ways using off-the-shelf tools and open-source tools
Experience with a general purpose programming language, 3+ years' experience one of (Python a plus, JVM languages, JS, Ruby)
Working with Linux or Windows operating systems and version control systems (Git) (3+ years)
Desirable
Hands-on experience with cloud environments (AWS preferred)
Building API's and apps using Python/JS or an alternative language
Knowledge of Hadoop technology (Map-reduce, HDFS, Hive)
Capita IT Resourcing is acting as an Employment Agency in relation to this vacancy.
