Work directly on a successful app with over 100 million users at the core of the product, joining a successful data team.
You will be working on delivering a new self-service data platform, that will be built with Scala, Spark, Python, CI/CD and Infrastructure as code, alongside an experienced technical team.
You are a data engineer with experience working on large scale projects in real-time stream processing of data. Your experience is solid in Spark and Scala or Python (both would be great!) with a heavy TDD approach to your code. You will also work heavily with cloud technologies and distributed systems
Ideally, you are someone who has solid experience in systems and software design as you will be building and designing datasets from scratch within a highly scalable environment. advancing the existing data infrastructure.
You will work with the following technologies, however, you don't need experience in all;
Scala
Spark
Python
AWS
Lambda
Kinesis
Hive
Jenkins
Packer
Docker
Kubernetes
With the technologies above, you will be crucial to the significant impact on the success and reliability of the product joining an exciting team within a growing business.
You will be joining a team of continuous learners and will always face new challenges within this team. We're looking for you to bring on your expertise, whilst also taking each day as a new learning opportunity.
As well as working within an ever-growing industry where technology is key, you will work in a social, modern environment centred around ownership and trust.
16/01/2019
Full time
Work directly on a successful app with over 100 million users at the core of the product, joining a successful data team.
You will be working on delivering a new self-service data platform, that will be built with Scala, Spark, Python, CI/CD and Infrastructure as code, alongside an experienced technical team.
You are a data engineer with experience working on large scale projects in real-time stream processing of data. Your experience is solid in Spark and Scala or Python (both would be great!) with a heavy TDD approach to your code. You will also work heavily with cloud technologies and distributed systems
Ideally, you are someone who has solid experience in systems and software design as you will be building and designing datasets from scratch within a highly scalable environment. advancing the existing data infrastructure.
You will work with the following technologies, however, you don't need experience in all;
Scala
Spark
Python
AWS
Lambda
Kinesis
Hive
Jenkins
Packer
Docker
Kubernetes
With the technologies above, you will be crucial to the significant impact on the success and reliability of the product joining an exciting team within a growing business.
You will be joining a team of continuous learners and will always face new challenges within this team. We're looking for you to bring on your expertise, whilst also taking each day as a new learning opportunity.
As well as working within an ever-growing industry where technology is key, you will work in a social, modern environment centred around ownership and trust.
A unique, multinational company are looking for strong Machine Learning engineers and Data Scientists to join the team in Oxford.
The company are utilising AI and novel machine learning algorithms to change the way we diagnose and deal with our wellbeing and mental health.They are currently working with some of the biggest names in insurance to find the key to improved wellbeing, and AI is going to be at the heart of it by finding patterns that link stress to health risks.
Essential skills for Data Scientist:
MSc or PhD from a top University
Strong experience with R analytics package
Experience with Machine Learning or Deep Learning algorithms
A track record of Bayesian statistical modelling
This is a great opportunity to join at the ground level in the analytics department, with a true potential to lead the team of strong data scientists and machine learning engineers.
Location: Oxford
Salary: Up to £60,000 (DOE)
For more information on this position apply directly to this advert or drop me a call/email and we can discuss in more detail.
Jacob Moore – j.moore@reqiva.com – 01189595552
14/01/2019
Full time
A unique, multinational company are looking for strong Machine Learning engineers and Data Scientists to join the team in Oxford.
The company are utilising AI and novel machine learning algorithms to change the way we diagnose and deal with our wellbeing and mental health.They are currently working with some of the biggest names in insurance to find the key to improved wellbeing, and AI is going to be at the heart of it by finding patterns that link stress to health risks.
Essential skills for Data Scientist:
MSc or PhD from a top University
Strong experience with R analytics package
Experience with Machine Learning or Deep Learning algorithms
A track record of Bayesian statistical modelling
This is a great opportunity to join at the ground level in the analytics department, with a true potential to lead the team of strong data scientists and machine learning engineers.
Location: Oxford
Salary: Up to £60,000 (DOE)
For more information on this position apply directly to this advert or drop me a call/email and we can discuss in more detail.
Jacob Moore – j.moore@reqiva.com – 01189595552
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.
11/01/2019
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.
Working closely with the Business Systems manager, you will assist on a number of project deliverables covering:
Data Quality
Extended roll out of our Analytics platform
Data Architecture
The successful candidate will be confident with the following;
Experience in establishing formal Data Quality policies, methods and processes
Previously applied Data Quality analysis techniques and Reporting across existing databases
In-depth experience of SQL Server, scripting and Database management (Microsoft)
Bulk data validation processes
Knowledge of Microsoft tools (including Visual Studio) and any other Database management systems
Posses a knowledge of both on-prem and Cloud (Azure) Databases inc. Implementations/Services
To be considered for this role, please forward your latest profile.
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
12/02/2019
Freelance
Working closely with the Business Systems manager, you will assist on a number of project deliverables covering:
Data Quality
Extended roll out of our Analytics platform
Data Architecture
The successful candidate will be confident with the following;
Experience in establishing formal Data Quality policies, methods and processes
Previously applied Data Quality analysis techniques and Reporting across existing databases
In-depth experience of SQL Server, scripting and Database management (Microsoft)
Bulk data validation processes
Knowledge of Microsoft tools (including Visual Studio) and any other Database management systems
Posses a knowledge of both on-prem and Cloud (Azure) Databases inc. Implementations/Services
To be considered for this role, please forward your latest profile.
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
AstraZeneca is a global biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of most serious diseases. Our growth platforms are doing deeply well, and the impact of our older products decline is starting to reduce. And, with the potential of our pipeline and new medicines, we can be confident in our ability to sustain growth for years to come and make an even bigger difference to patients around the world.
At AstraZeneca, we're proud to have a workplace culture that encourages innovation and teamwork. Our vision of a phenomenal place to work is one in which all our employees are engaged and driven by a clear shared purpose and a compelling strategy; where they are encouraged to perform and develop to their full potential; and where they are supported by the right organisation design, culture, technology and processes.
As a Data & Analytics engineer you will support solution development, provide technical leadership, and take responsibility for delivery. You are a data professional with a broad range of knowledge and experience across data & analytics, with significant depth in at least one technical area. You will work almost exclusively with AWS services. You will join a team that has delivered cloud solutions, such as the development of auto-scaling data integration and analytic platform. Similarly, we have built an automated cloud ETL test harness which integrates with our evolving CI/CD processes. We have an exciting pipeline of work, so you might be developing a data hub processing terabytes of clinical trial data, the world’s largest genomics platform, a federated reporting capability, a new tax analytics platform, or improvements to any of our existing analytics solutions.
You'll be part of a team of engineers who work closely with IT colleagues in UK, US, Sweden, India and Mexico. We have business partners and team members spread globally, so you would need a collaborative delivery approach to be successful. We prefer to use Agile, but choose the appropriate approach for the project. You will provide technical leadership throughout our software development lifecycle, from the initial development of a technical design based on agreed architecture, right through to service. Do you have a real passion for delivering well engineered data and analytics solutions? Because this will make you stand out from other specialists.
If you would like to discuss flexible working or part-time working, we would be happy to hear from you.
Key responsibilities
Define effective ways of end-to-end deliver of our data and analytics platform, drive visualisation strategy to enable specific insights for better business decisions.
Direct a team of data and reporting engineers focused on developing groundbreaking visualisation and computational capabilities for our big data platform.
Be hands on within the scrum team on a day-to-day basis, continually inspecting and crafting the backlog in response to the changing business requirements or technical discoveries/POCs.
Challenge the norm, and push the team to forget the easy route and go after the impossible.
Lead technology processes from concept development to completion of project work you're doing.
Desirable technical skills & experience
Experience of cloud techniques and tools (we currently use AWS data & analytics services such as S3, SQS, SNS, Redshift, Postgres, Aurora, MySQL, EMR, HIVE, PIG, Spark),
Experience of ETL techniques and tools (we currently use Talend for ETL),
Experience of visualisation technologies (we are focused on OBIEE, MicroStrategy, Spotfire, Qlik, Power BI),
Experience of building scalable high availability analytics solutions,
Experience in one or multiple programming languages (we currently use Python, Java, R, JavaScript and SQL),
Experience of building unit tests, integration tests, system tests and acceptance tests,
Experience in DevOps, using continuous integration and continuous development (we use Jenkins, Nexus, Git),
Experience of data analysis – profiling, investigating, interpreting and documenting data structures,
Familiarity with data modelling techniques and hands on modelling experience (our relational databases are third normal form and star schema),
Agile practices, especially being a SCRUM Master,
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
12/02/2019
Full time
AstraZeneca is a global biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of most serious diseases. Our growth platforms are doing deeply well, and the impact of our older products decline is starting to reduce. And, with the potential of our pipeline and new medicines, we can be confident in our ability to sustain growth for years to come and make an even bigger difference to patients around the world.
At AstraZeneca, we're proud to have a workplace culture that encourages innovation and teamwork. Our vision of a phenomenal place to work is one in which all our employees are engaged and driven by a clear shared purpose and a compelling strategy; where they are encouraged to perform and develop to their full potential; and where they are supported by the right organisation design, culture, technology and processes.
As a Data & Analytics engineer you will support solution development, provide technical leadership, and take responsibility for delivery. You are a data professional with a broad range of knowledge and experience across data & analytics, with significant depth in at least one technical area. You will work almost exclusively with AWS services. You will join a team that has delivered cloud solutions, such as the development of auto-scaling data integration and analytic platform. Similarly, we have built an automated cloud ETL test harness which integrates with our evolving CI/CD processes. We have an exciting pipeline of work, so you might be developing a data hub processing terabytes of clinical trial data, the world’s largest genomics platform, a federated reporting capability, a new tax analytics platform, or improvements to any of our existing analytics solutions.
You'll be part of a team of engineers who work closely with IT colleagues in UK, US, Sweden, India and Mexico. We have business partners and team members spread globally, so you would need a collaborative delivery approach to be successful. We prefer to use Agile, but choose the appropriate approach for the project. You will provide technical leadership throughout our software development lifecycle, from the initial development of a technical design based on agreed architecture, right through to service. Do you have a real passion for delivering well engineered data and analytics solutions? Because this will make you stand out from other specialists.
If you would like to discuss flexible working or part-time working, we would be happy to hear from you.
Key responsibilities
Define effective ways of end-to-end deliver of our data and analytics platform, drive visualisation strategy to enable specific insights for better business decisions.
Direct a team of data and reporting engineers focused on developing groundbreaking visualisation and computational capabilities for our big data platform.
Be hands on within the scrum team on a day-to-day basis, continually inspecting and crafting the backlog in response to the changing business requirements or technical discoveries/POCs.
Challenge the norm, and push the team to forget the easy route and go after the impossible.
Lead technology processes from concept development to completion of project work you're doing.
Desirable technical skills & experience
Experience of cloud techniques and tools (we currently use AWS data & analytics services such as S3, SQS, SNS, Redshift, Postgres, Aurora, MySQL, EMR, HIVE, PIG, Spark),
Experience of ETL techniques and tools (we currently use Talend for ETL),
Experience of visualisation technologies (we are focused on OBIEE, MicroStrategy, Spotfire, Qlik, Power BI),
Experience of building scalable high availability analytics solutions,
Experience in one or multiple programming languages (we currently use Python, Java, R, JavaScript and SQL),
Experience of building unit tests, integration tests, system tests and acceptance tests,
Experience in DevOps, using continuous integration and continuous development (we use Jenkins, Nexus, Git),
Experience of data analysis – profiling, investigating, interpreting and documenting data structures,
Familiarity with data modelling techniques and hands on modelling experience (our relational databases are third normal form and star schema),
Agile practices, especially being a SCRUM Master,
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
At AZ we push the boundaries of science to deliver life-changing medicines.
Science and Enabling Units IT actively partners across AZ Business stakeholders to deliver cutting-edge IT capabilities closely aligned with AstraZeneca’s bold ambition - improving the lives of millions of patients across the globe. The ambition of Science and Enabling Units IT is to provide world-class expertise and leadership in technological solutions, enabling the “Best IT for the BioPharma Industry”. We define “best” as agile, fit-for-future capabilities that make it possible for our scientists to discover and develop life-changing medicines. Our goal is to position IT as a strategic-enabler and we do this by focusing on close business partnership, defining and executing business-aligned strategies, and hiring and developing the best IT talent in the industry.
Your career at AstraZeneca will allow you to use leading edge technology to roll back the frontiers of science, delivering next-generation solutions, driving transformation as strategic business partners and enabling breakthrough drug discovery. It means a career that’s focused on improving lives across the world – both for our workforce in 90 countries and for the wider global population. You could be implementing state of the art cloud or AI technology, and thinking about the ‘Work and Workforce of the Future’ and how technology will support an even more diverse workforce including robots, the crowd and gig workers. You might be involved with the systems that enable our Legal team to protect the patents on our life-changing medicines. Or you could be capturing the data that enables us to demonstrate we do business in the right way, and continue to push the boundaries for the benefit of our planet and patients. You’ll harness the latest advancements in technology to deliver against this diverse portfolio and develop our capabilities for the future. This will see you working across a variety of exciting business functions and thriving in our diverse team and with a culture of opportunities.
What you'll be doing
You'll work in Enabling systems IT as a Senior Business Analyst Team Lead. You will have an opportunity to lead change in our financial, HR, Legal and Global Sustainability systems.
You will lead a small team of business analysts who work directly with our partners across a wide range of enabling systems. Your team will be focused on a wide range of financial, human resource, legal and global sustainability systems. You will have the opportunity to help continuously improve our ways of working and directly influence the performance and development of our team.
As well as leading the Enabling Units BA team, your role will also have a focus on our Finance systems. Finance as a business function have a vision to be “Trusted Partners, Building Value, Leading Change”. They are contributing to the AZ strategy by providing insights to enable clear portfolio and pipeline decisions. They are actively identifying in-market opportunities and driving investment strategy alongside simplifying their financial processes and enhancing productivity. Finance is helping our company to achieve Group Financial Targets by driving financial improvement plans, improving profitability and increasing cash flow.
You'll be based in Cambridge, the hub of Science and Technology and will support our Enabling capability across our three core sites in Cambridge UK, Gothenburg Sweden and Gaithersburg US. An idea may start on one site but our organisation is expecting global solutions that scale; on any business case or a project you'll be part of making that happen.
In our IT organisation, you will:
Lead a small team of experienced Business Analysts (5-10)
Be part of a larger team of Business Analysts across Science and Enabling Units
Work with your Business Analysts to build out and mature the BA Capability
Work with Portfolio leads, Business Engagement teams and Lead Architects to ensure portfolios are aligned to our strategy and will be impactful to our business
Understand needs and partner on solutions with the business for the Finance function
Partner with wider IT Service/DevOps teams to build sustainable services
Strive to be make us more agile in the fast-changing digital landscape
You will be part of a leadership team predominantly based in Cambridge
A bit about you:
The BA role sits at the intersection of people, business and technology. We want someone who can
Work independently and deliver value to Finance as a Business Analyst
Supplement the above with leading and developing an engaged Business Analysis team that can excel
Embed value into what we commit to delivering both at a project and portfolio level
Come join our team as a key leader in transforming Business Analysis within IT for Finance and the wider Enabling Units in ways the biopharma industry has never seen.
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
12/02/2019
Full time
At AZ we push the boundaries of science to deliver life-changing medicines.
Science and Enabling Units IT actively partners across AZ Business stakeholders to deliver cutting-edge IT capabilities closely aligned with AstraZeneca’s bold ambition - improving the lives of millions of patients across the globe. The ambition of Science and Enabling Units IT is to provide world-class expertise and leadership in technological solutions, enabling the “Best IT for the BioPharma Industry”. We define “best” as agile, fit-for-future capabilities that make it possible for our scientists to discover and develop life-changing medicines. Our goal is to position IT as a strategic-enabler and we do this by focusing on close business partnership, defining and executing business-aligned strategies, and hiring and developing the best IT talent in the industry.
Your career at AstraZeneca will allow you to use leading edge technology to roll back the frontiers of science, delivering next-generation solutions, driving transformation as strategic business partners and enabling breakthrough drug discovery. It means a career that’s focused on improving lives across the world – both for our workforce in 90 countries and for the wider global population. You could be implementing state of the art cloud or AI technology, and thinking about the ‘Work and Workforce of the Future’ and how technology will support an even more diverse workforce including robots, the crowd and gig workers. You might be involved with the systems that enable our Legal team to protect the patents on our life-changing medicines. Or you could be capturing the data that enables us to demonstrate we do business in the right way, and continue to push the boundaries for the benefit of our planet and patients. You’ll harness the latest advancements in technology to deliver against this diverse portfolio and develop our capabilities for the future. This will see you working across a variety of exciting business functions and thriving in our diverse team and with a culture of opportunities.
What you'll be doing
You'll work in Enabling systems IT as a Senior Business Analyst Team Lead. You will have an opportunity to lead change in our financial, HR, Legal and Global Sustainability systems.
You will lead a small team of business analysts who work directly with our partners across a wide range of enabling systems. Your team will be focused on a wide range of financial, human resource, legal and global sustainability systems. You will have the opportunity to help continuously improve our ways of working and directly influence the performance and development of our team.
As well as leading the Enabling Units BA team, your role will also have a focus on our Finance systems. Finance as a business function have a vision to be “Trusted Partners, Building Value, Leading Change”. They are contributing to the AZ strategy by providing insights to enable clear portfolio and pipeline decisions. They are actively identifying in-market opportunities and driving investment strategy alongside simplifying their financial processes and enhancing productivity. Finance is helping our company to achieve Group Financial Targets by driving financial improvement plans, improving profitability and increasing cash flow.
You'll be based in Cambridge, the hub of Science and Technology and will support our Enabling capability across our three core sites in Cambridge UK, Gothenburg Sweden and Gaithersburg US. An idea may start on one site but our organisation is expecting global solutions that scale; on any business case or a project you'll be part of making that happen.
In our IT organisation, you will:
Lead a small team of experienced Business Analysts (5-10)
Be part of a larger team of Business Analysts across Science and Enabling Units
Work with your Business Analysts to build out and mature the BA Capability
Work with Portfolio leads, Business Engagement teams and Lead Architects to ensure portfolios are aligned to our strategy and will be impactful to our business
Understand needs and partner on solutions with the business for the Finance function
Partner with wider IT Service/DevOps teams to build sustainable services
Strive to be make us more agile in the fast-changing digital landscape
You will be part of a leadership team predominantly based in Cambridge
A bit about you:
The BA role sits at the intersection of people, business and technology. We want someone who can
Work independently and deliver value to Finance as a Business Analyst
Supplement the above with leading and developing an engaged Business Analysis team that can excel
Embed value into what we commit to delivering both at a project and portfolio level
Come join our team as a key leader in transforming Business Analysis within IT for Finance and the wider Enabling Units in ways the biopharma industry has never seen.
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
A Data Scientist is needed for an organisation in Newham, London that is looking to become more data driven. This role will use innovative data science techniques to provide high quality predictive analysis using their data warehouse.
This will include predictive analytical techniques to identify improvement to service delivery ensuring greater value for money and opportunities for early intervention.
The Data Scientist is a new and challenging role within the organisation which will be working with directors and across multiple teams including change services, identify fraud and generate opportunities for new income.
The models you develop will identify opportunities to either reduce demand for services (cost saving) or improve income generation which significant impact how these services are run.
The Data Scientist will work alongside data analysts and data warehouse specialists as well as other key teams.
Key Skills
Strong analytical skills with an ability to gather and analyse complex information from a range of sources, understand the business context, extract key points and draw conclusions to make recommendations.
Specialist data science skills in areas including machine learning, particularly supervised learning
Specialist knowledge of statistics is essential including an understanding of appropriate statistical techniques to business problems including inferential and experimental statistics
Experience with SPSS or R (may consider Python)
If you are interested in this or other Data Science 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
12/02/2019
Full time
A Data Scientist is needed for an organisation in Newham, London that is looking to become more data driven. This role will use innovative data science techniques to provide high quality predictive analysis using their data warehouse.
This will include predictive analytical techniques to identify improvement to service delivery ensuring greater value for money and opportunities for early intervention.
The Data Scientist is a new and challenging role within the organisation which will be working with directors and across multiple teams including change services, identify fraud and generate opportunities for new income.
The models you develop will identify opportunities to either reduce demand for services (cost saving) or improve income generation which significant impact how these services are run.
The Data Scientist will work alongside data analysts and data warehouse specialists as well as other key teams.
Key Skills
Strong analytical skills with an ability to gather and analyse complex information from a range of sources, understand the business context, extract key points and draw conclusions to make recommendations.
Specialist data science skills in areas including machine learning, particularly supervised learning
Specialist knowledge of statistics is essential including an understanding of appropriate statistical techniques to business problems including inferential and experimental statistics
Experience with SPSS or R (may consider Python)
If you are interested in this or other Data Science 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
Springer Nature is one of the world’s leading global research, educational and professional publishers. It is home to an array of respected and trusted brands and imprints, with more than 170 years of combined history behind them, providing quality content through a range of innovative products and services. Every day, around the globe, our imprints, books, journals and resources reach millions of people, helping researchers and scientists to discover, students to learn and professionals to achieve their goals and ambitions. The company has almost 13,000 staff in over 50 countries.
Springer Nature is seeking a highly motivated Data Scientist for the Content Acquisition technology domain serving the Digital division that supports Nature, Springer, BioMedCentral and Scientific American.
As a Data Scientist, you’ll be analysing big data from very highly trafficked websites and content workflows. You will provide actionable analysis and insight into the behaviour of researchers in both their roles as authors, editors and reviewers and as users of scientific information as well as general trends in the world of research. You will be driving change that improves the researcher’s experience with SpringerNature 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 identifying 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
To apply please upload a copy of your CV and covering letter, stating your salary expectations.
At Springer Nature we value and celebrate the diversity of our people. We recognise the many benefits of a diverse workforce and strive for an inclusive workplace that empowers all our colleagues to thrive. Our search for the best talent fully encompasses and embraces these values and principles.
Visit the Springer Nature Editorial and Publishing website at www.springernature.com/editorial-and-publishing-jobs for more information about our Research E&P career opportunities.
12/02/2019
Full time
Springer Nature is one of the world’s leading global research, educational and professional publishers. It is home to an array of respected and trusted brands and imprints, with more than 170 years of combined history behind them, providing quality content through a range of innovative products and services. Every day, around the globe, our imprints, books, journals and resources reach millions of people, helping researchers and scientists to discover, students to learn and professionals to achieve their goals and ambitions. The company has almost 13,000 staff in over 50 countries.
Springer Nature is seeking a highly motivated Data Scientist for the Content Acquisition technology domain serving the Digital division that supports Nature, Springer, BioMedCentral and Scientific American.
As a Data Scientist, you’ll be analysing big data from very highly trafficked websites and content workflows. You will provide actionable analysis and insight into the behaviour of researchers in both their roles as authors, editors and reviewers and as users of scientific information as well as general trends in the world of research. You will be driving change that improves the researcher’s experience with SpringerNature 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 identifying 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
To apply please upload a copy of your CV and covering letter, stating your salary expectations.
At Springer Nature we value and celebrate the diversity of our people. We recognise the many benefits of a diverse workforce and strive for an inclusive workplace that empowers all our colleagues to thrive. Our search for the best talent fully encompasses and embraces these values and principles.
Visit the Springer Nature Editorial and Publishing website at www.springernature.com/editorial-and-publishing-jobs for more information about our Research E&P career opportunities.
We are looking to hire Data Engineers to our team. You will work closely with world class Data Scientists, Machine Learning Researchers and Software Engineers. As a Scrum team member you process varied and complex data sets from our customers and other sources, visualising the data, extracting insights and helping solve real-world problems.
Your main responsibilities
Process, visualise and analyse data, and prepare for use by research and engineering colleagues
Automate data processing through scripting and use of tools
Work with databases and high performance file systems
Develop scripts and software for data processing in production
Evaluate and deploy state of the art data processing tools
Continuously develop your own engineering skills and help others to improve theirs
Key qualifications
Passion for processing data and extracting insights from it
Experience in working with large and complex data sets
Working knowledge of SQL and databases
Working knowledge of a programming language, preferably Python; working knowledge of multiple languages beneficial
Experience in data warehousing, data pipelines, time series data and/or webscraping is desirable
Degree in Computer Science or similar is desirable
Experience in working with financial and/or logistics data is a bonus
What we offer
Competitive package to match experience consisting of salary and employee stock options, an energetic and fun start-up environment, a team of exceptionally talented colleagues, a position to shape the future of AI.
About the location
Cambridge, United Kingdom. Candidates must be authorised to work in the UK.
12/02/2019
Full time
We are looking to hire Data Engineers to our team. You will work closely with world class Data Scientists, Machine Learning Researchers and Software Engineers. As a Scrum team member you process varied and complex data sets from our customers and other sources, visualising the data, extracting insights and helping solve real-world problems.
Your main responsibilities
Process, visualise and analyse data, and prepare for use by research and engineering colleagues
Automate data processing through scripting and use of tools
Work with databases and high performance file systems
Develop scripts and software for data processing in production
Evaluate and deploy state of the art data processing tools
Continuously develop your own engineering skills and help others to improve theirs
Key qualifications
Passion for processing data and extracting insights from it
Experience in working with large and complex data sets
Working knowledge of SQL and databases
Working knowledge of a programming language, preferably Python; working knowledge of multiple languages beneficial
Experience in data warehousing, data pipelines, time series data and/or webscraping is desirable
Degree in Computer Science or similar is desirable
Experience in working with financial and/or logistics data is a bonus
What we offer
Competitive package to match experience consisting of salary and employee stock options, an energetic and fun start-up environment, a team of exceptionally talented colleagues, a position to shape the future of AI.
About the location
Cambridge, United Kingdom. Candidates must be authorised to work in the UK.
A truly unique opportunity to join one of the quickest growing companies in the UK, at the forefront of image analysis and AI.
One of Oxford’s most prestigious R&D companies are looking to expand their analytics team rapidly due to a period of high growth and development and they are looking to hire a talented and experienced ‘Head of Data Science/Analytics’. You will be heading up a team of 15-20 analysts which remains the backbone of the company and their core product.
This is a truly exciting opportunity to join a company that are pioneers and world leaders in their field, with a unique product like no other. You will interact with C level management, data scientists and scientists to ensure the highest levels of analytics are being produced for the vast data their flagship product produces.The company are continuing to grow, and you will be at the forefront to spearhead the growth and development of this exceptional R&D department.
Essential/Desirable skills:
At least 3 years managerial experience
Experience managing large teams
Experience with Python
Superb knowledge of algorithms and algorithmic development
Knowledge of Matlab/NumPy/SciPy/Pandas
Fantastic organisation/communication skills
Track record of using machine learning for image analysis (medical / microscopy / astrophysics etc.)
Location: Oxford
Salary: Up to £100,000
Jacob Moore | j.moore@reqiva.com | 01189595552
12/02/2019
Full time
A truly unique opportunity to join one of the quickest growing companies in the UK, at the forefront of image analysis and AI.
One of Oxford’s most prestigious R&D companies are looking to expand their analytics team rapidly due to a period of high growth and development and they are looking to hire a talented and experienced ‘Head of Data Science/Analytics’. You will be heading up a team of 15-20 analysts which remains the backbone of the company and their core product.
This is a truly exciting opportunity to join a company that are pioneers and world leaders in their field, with a unique product like no other. You will interact with C level management, data scientists and scientists to ensure the highest levels of analytics are being produced for the vast data their flagship product produces.The company are continuing to grow, and you will be at the forefront to spearhead the growth and development of this exceptional R&D department.
Essential/Desirable skills:
At least 3 years managerial experience
Experience managing large teams
Experience with Python
Superb knowledge of algorithms and algorithmic development
Knowledge of Matlab/NumPy/SciPy/Pandas
Fantastic organisation/communication skills
Track record of using machine learning for image analysis (medical / microscopy / astrophysics etc.)
Location: Oxford
Salary: Up to £100,000
Jacob Moore | j.moore@reqiva.com | 01189595552
A unique, multinational company are looking for strong Machine Learning engineers and Data Scientists to join the team in Oxford. The company are utilising AI and novel machine learning algorithms to change the way we diagnose and deal with our wellbeing and mental health.They are currently working with some of the biggest names in insurance to find the key to improved wellbeing, and AI is going to be at the heart of it by finding patterns that link stress to health risks.
Essential skills for Data Scientist:
MSc or PhD from a top University
Strong experience with R analytics package
Experience with Machine Learning or Deep Learning algorithms
A track record of Bayesian statistical modelling
This is a great opportunity to join at the ground level in the analytics department, with a true potential to lead the team of strong data scientists and machine learning engineers.
Location: Oxford
Salary: Up to £60,000 (DOE)
For more information on this position apply directly to this advert or drop me a call/email and we can discuss in more detail.
Jacob Moore – j.moore@reqiva.com – 01189595552
12/02/2019
Full time
A unique, multinational company are looking for strong Machine Learning engineers and Data Scientists to join the team in Oxford. The company are utilising AI and novel machine learning algorithms to change the way we diagnose and deal with our wellbeing and mental health.They are currently working with some of the biggest names in insurance to find the key to improved wellbeing, and AI is going to be at the heart of it by finding patterns that link stress to health risks.
Essential skills for Data Scientist:
MSc or PhD from a top University
Strong experience with R analytics package
Experience with Machine Learning or Deep Learning algorithms
A track record of Bayesian statistical modelling
This is a great opportunity to join at the ground level in the analytics department, with a true potential to lead the team of strong data scientists and machine learning engineers.
Location: Oxford
Salary: Up to £60,000 (DOE)
For more information on this position apply directly to this advert or drop me a call/email and we can discuss in more detail.
Jacob Moore – j.moore@reqiva.com – 01189595552
Data Analyst required to join a large thriving technology company during an exciting time of growth. This role is based in their Winchester office and will focus on accurately and efficiently storing and managing all of the company's data.
The core responsibilities include:
Produce management information which is accurate, timely and relevant, ensuring integrity and reliability of data
Generating and analysing data and trend analysis
Review, analyse and modify data, to present the data in the required format.
Design and development of dashboards.
Assist in troubleshooting software application issues.
Provide support in complex analytics application configuration to meet end user requirement
Work on multiple projects simultaneously as well as support users with ad-hoc data requests
Support other members of the IT Team with data queries
Required skills and experience:
Experienced working with and effectively communicating to internal & external clients, successfully articulating data into readable information.
The ability to work pro-actively with a high level of accuracy & attention to detail.
Experience of analysing source data, including detailed data analysis of historical data
Presents opinion logically, checking for understanding and encouraging open discussion
Technical skills required:
Advanced Excel and Access skills
Good knowledge of Microsoft SQL Server
Experienced working with CRM software (Salesforce Cloud, Total Recall) is highly desirable
To apply, please send your CV to AmyLee@SpectrumIT.co.uk
11/02/2019
Full time
Data Analyst required to join a large thriving technology company during an exciting time of growth. This role is based in their Winchester office and will focus on accurately and efficiently storing and managing all of the company's data.
The core responsibilities include:
Produce management information which is accurate, timely and relevant, ensuring integrity and reliability of data
Generating and analysing data and trend analysis
Review, analyse and modify data, to present the data in the required format.
Design and development of dashboards.
Assist in troubleshooting software application issues.
Provide support in complex analytics application configuration to meet end user requirement
Work on multiple projects simultaneously as well as support users with ad-hoc data requests
Support other members of the IT Team with data queries
Required skills and experience:
Experienced working with and effectively communicating to internal & external clients, successfully articulating data into readable information.
The ability to work pro-actively with a high level of accuracy & attention to detail.
Experience of analysing source data, including detailed data analysis of historical data
Presents opinion logically, checking for understanding and encouraging open discussion
Technical skills required:
Advanced Excel and Access skills
Good knowledge of Microsoft SQL Server
Experienced working with CRM software (Salesforce Cloud, Total Recall) is highly desirable
To apply, please send your CV to AmyLee@SpectrumIT.co.uk
Following growing internal demand, this consultancy is building a team of experienced, multi-disciplinary analysts to develop cutting edge research and insights that will strengthen clients’ programmes and support their customers. This exciting role will involve developing a deep understanding of the industry and providing unique analysis and insight to support and inform the continued growth of this business.
Role & Responsibilities
You will work as part of the project team in charge of creating actionable insights.
Collect data and produce quality analysis of key industry trends.
You will be responsible for the update and management of company databases.
Ensure all company deployments are accurately represented and that estimates and forecasts are as accurate as possible.
Take ownership of data quality process such as cleaning survey responses and liaising with partners.
Produce customised industry benchmark reports.
Develop a deep familiarity with company programmes and data assets.
Drive analysis and desk research on key topics.
Experience & Skills Required
Educated to degree level in either science, engineering or mathematics and possess strong analytical and numeracy skills.
Be extremely proficient in Microsoft Excel.
Must have a sound understanding of data structures with the ability to frame, move, restructure and cleanse the data.
Demonstrable experience writing concise reports and be able to quickly grasp new concepts and ideas
Show familiarity with statistical and data manipulation software e.g. R, SPSS, eViews etc.
Demonstrate a willingness to work in results oriented team environment where priorities can change.
Keen to identify and suggest ways of improving existing processes.
Experience in data modelling, forecasting, data warehousing, data management tools and environments very desirable.
Experience working in a financial services environment advantageous.
French and/or Spanish language skills would also be of benefit.
If you fit the above job description, please contact Roisin McCarthy on 01256 314 660 or email her on rmccarthy@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
11/02/2019
Full time
Following growing internal demand, this consultancy is building a team of experienced, multi-disciplinary analysts to develop cutting edge research and insights that will strengthen clients’ programmes and support their customers. This exciting role will involve developing a deep understanding of the industry and providing unique analysis and insight to support and inform the continued growth of this business.
Role & Responsibilities
You will work as part of the project team in charge of creating actionable insights.
Collect data and produce quality analysis of key industry trends.
You will be responsible for the update and management of company databases.
Ensure all company deployments are accurately represented and that estimates and forecasts are as accurate as possible.
Take ownership of data quality process such as cleaning survey responses and liaising with partners.
Produce customised industry benchmark reports.
Develop a deep familiarity with company programmes and data assets.
Drive analysis and desk research on key topics.
Experience & Skills Required
Educated to degree level in either science, engineering or mathematics and possess strong analytical and numeracy skills.
Be extremely proficient in Microsoft Excel.
Must have a sound understanding of data structures with the ability to frame, move, restructure and cleanse the data.
Demonstrable experience writing concise reports and be able to quickly grasp new concepts and ideas
Show familiarity with statistical and data manipulation software e.g. R, SPSS, eViews etc.
Demonstrate a willingness to work in results oriented team environment where priorities can change.
Keen to identify and suggest ways of improving existing processes.
Experience in data modelling, forecasting, data warehousing, data management tools and environments very desirable.
Experience working in a financial services environment advantageous.
French and/or Spanish language skills would also be of benefit.
If you fit the above job description, please contact Roisin McCarthy on 01256 314 660 or email her on rmccarthy@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
A leading Ecommerce brand in London are seeking a Data Analyst for a 6 month contract joining one of Europe’s fastest growing independent companies. As the Data Analyst you will have strong analytical skills, great judgement, attention to detail, and a commitment to getting to the answer. The Data Analyst will understand statistics and behavioural data and can combine them to tell a compelling story which you effectively communicate to peers, C-Level and in trading meetings. This Data Analyst role ranges from doing data modelling and behavioural analysis, to working closely with POs and Developers in planning sprints and roadmaps. The Data Analyst will have an opportunity to have a big impact on the business, working with millions of rows of data.
Data Analyst Skills:
2+ years experience in data analytics (or similar)
Excellent SQL skills
Mathematical degree (e.g. Maths, Stats, Physics, Chemistry, Engineering)
Experience with ETL and query optimisation
Good organisation and communication skills
Proactive - actively looks to improve processes and questions assumptions
Commitment for understanding of both the business and consumer aspects of the product.
Analytical horsepower: you can fetch the data you need, understand it and tell an airtight story around it.
Data Analyst nice to have skills:
Experience in online testing / optimisation (e.g. Optimizely)
Experience working with tools such as Snowplow, Indicative or similar
Experience with R or python or similar programming language
Experience working in Ecommerce
11/02/2019
Internship
A leading Ecommerce brand in London are seeking a Data Analyst for a 6 month contract joining one of Europe’s fastest growing independent companies. As the Data Analyst you will have strong analytical skills, great judgement, attention to detail, and a commitment to getting to the answer. The Data Analyst will understand statistics and behavioural data and can combine them to tell a compelling story which you effectively communicate to peers, C-Level and in trading meetings. This Data Analyst role ranges from doing data modelling and behavioural analysis, to working closely with POs and Developers in planning sprints and roadmaps. The Data Analyst will have an opportunity to have a big impact on the business, working with millions of rows of data.
Data Analyst Skills:
2+ years experience in data analytics (or similar)
Excellent SQL skills
Mathematical degree (e.g. Maths, Stats, Physics, Chemistry, Engineering)
Experience with ETL and query optimisation
Good organisation and communication skills
Proactive - actively looks to improve processes and questions assumptions
Commitment for understanding of both the business and consumer aspects of the product.
Analytical horsepower: you can fetch the data you need, understand it and tell an airtight story around it.
Data Analyst nice to have skills:
Experience in online testing / optimisation (e.g. Optimizely)
Experience working with tools such as Snowplow, Indicative or similar
Experience with R or python or similar programming language
Experience working in Ecommerce
Our client is one of the largest growing tech companies, who boast nearly 26,000 staff globally. Due to continued expansion and client wins, they are looking to onboard Big Data specialists, who can help deliver client projects and solve software solutions. As this is working for a consultancy, you should expect a majority of your time to be spent in London and when required other projects throughout the UK.
As the Big Data Consultant you will have experience with:
Designing data analytics using the Big Data / BI Tech stack
Big Data Architecture with a solid design/development background in any of Java, Scala, or Python
Creating/organizing delivery process, even from scratch
Delivering data analytics projects and architecture guidelines
Big data solutions on premises and on the cloud (Amazon Web Services, Microsoft Azure, Google Cloud)
Good knowledge of batch processing based on MapReduce and the tools Hadoop / Spark / Hive
NoSQL databases: any of Cassandra / HBase / Accamulo / Kudu
If you are a Big Data Developer/Architect who is open to travel and is open to working for a consultancy, please apply today to find out more. Big Data Solution Architect £90,000 to £110,000 per annum, plus bonus and benefits London based, with travel within the UK required
Contact: Mickey Fowler
11/02/2019
Full time
Our client is one of the largest growing tech companies, who boast nearly 26,000 staff globally. Due to continued expansion and client wins, they are looking to onboard Big Data specialists, who can help deliver client projects and solve software solutions. As this is working for a consultancy, you should expect a majority of your time to be spent in London and when required other projects throughout the UK.
As the Big Data Consultant you will have experience with:
Designing data analytics using the Big Data / BI Tech stack
Big Data Architecture with a solid design/development background in any of Java, Scala, or Python
Creating/organizing delivery process, even from scratch
Delivering data analytics projects and architecture guidelines
Big data solutions on premises and on the cloud (Amazon Web Services, Microsoft Azure, Google Cloud)
Good knowledge of batch processing based on MapReduce and the tools Hadoop / Spark / Hive
NoSQL databases: any of Cassandra / HBase / Accamulo / Kudu
If you are a Big Data Developer/Architect who is open to travel and is open to working for a consultancy, please apply today to find out more. Big Data Solution Architect £90,000 to £110,000 per annum, plus bonus and benefits London based, with travel within the UK required
Contact: Mickey Fowler
Vertex Solutions are currently working with one of London's most innovative technology companies who are in full hiring mode. They are looking for an outstanding Senior / Lead Data Scientist to join the team and be a part of their exciting journey.
This opportunity is for one of London's most attractive data-driven businesses right now with a fantastic proprietary concept the firm are looking to execute. You will play an instrumental part in delivering the data science function of the business, working closely with a world class team and owning data through the full project lifecycle.
How you'll be innovating!
You'll work on bespoke projects, challenging and improving the way things in the Data world are currently done! You'll have a huge amount of data at your fingertips and will utilise this to build industry leading models and applications. Delivering a project from Research to Deployment, you'll have the chance to identify, construct, validate, and actually see your models go into production.
Ideal requirements for the opportunity
Proven experience of productionising Data Models
Strong Python Programming skills and libraries such as (Pandas, NumPy, Scikit-Learn, Matplotlib)
Experienced with SQL (plus Scala or any other language experience a bonus)
Cloud exposure preferably with AWS (GCP, Azure also works)
Big Data and Visualisation knowledge - (Spark, Kafka, PySpark etc)
Hands-on with the ability to drive a (currently small) team
Machine Learning / NLP experience (various techniques from hypothesis to deployment)
We are looking for candidates who have built, tested and deployed models within a production environment and able to write efficient code.
The business genuinely attracts and retains staff of the highest calibre by driving continuous growth and incentivising. They're based in a vibrant part of London, with a great mixture of individuals to collaborate with both internally and with external social events.
Strong salary and fantastic package on offer.
Lead Data Scientist | Python | Scikit-Learn | Pandas | NumPy | NLP | SQL | AWS | Machine Learning | AI | Programming | Big Data | Analytics
For further information and immediate consideration for interview, please don't hesitate to contact Lewis Forsyth on l.forsyth @ vertex-solutions.com.
08/02/2019
Full time
Vertex Solutions are currently working with one of London's most innovative technology companies who are in full hiring mode. They are looking for an outstanding Senior / Lead Data Scientist to join the team and be a part of their exciting journey.
This opportunity is for one of London's most attractive data-driven businesses right now with a fantastic proprietary concept the firm are looking to execute. You will play an instrumental part in delivering the data science function of the business, working closely with a world class team and owning data through the full project lifecycle.
How you'll be innovating!
You'll work on bespoke projects, challenging and improving the way things in the Data world are currently done! You'll have a huge amount of data at your fingertips and will utilise this to build industry leading models and applications. Delivering a project from Research to Deployment, you'll have the chance to identify, construct, validate, and actually see your models go into production.
Ideal requirements for the opportunity
Proven experience of productionising Data Models
Strong Python Programming skills and libraries such as (Pandas, NumPy, Scikit-Learn, Matplotlib)
Experienced with SQL (plus Scala or any other language experience a bonus)
Cloud exposure preferably with AWS (GCP, Azure also works)
Big Data and Visualisation knowledge - (Spark, Kafka, PySpark etc)
Hands-on with the ability to drive a (currently small) team
Machine Learning / NLP experience (various techniques from hypothesis to deployment)
We are looking for candidates who have built, tested and deployed models within a production environment and able to write efficient code.
The business genuinely attracts and retains staff of the highest calibre by driving continuous growth and incentivising. They're based in a vibrant part of London, with a great mixture of individuals to collaborate with both internally and with external social events.
Strong salary and fantastic package on offer.
Lead Data Scientist | Python | Scikit-Learn | Pandas | NumPy | NLP | SQL | AWS | Machine Learning | AI | Programming | Big Data | Analytics
For further information and immediate consideration for interview, please don't hesitate to contact Lewis Forsyth on l.forsyth @ vertex-solutions.com.
Are you looking for a rewarding and rapidly developing company who live and breathe data? Are you a Senior Data Engineer with experience in AWS, Python (Pandas, NumPy), SQL, Spark/Hive, ETL, Machine Learning? In this role, you will be instrumental in projects that will have a huge impact on the company's growth and development.
About the role
You will thrash out ideas with a world-class team of Engineers & Data Scientists, collaborating on a number of industry-leading projects. Autonomy, freedom and new technologies enable them to retain and attract staff of the highest calibre.
Skills required
Proven experience in building data pipeline's, API's, enhancing data management
Experience required in working with AWS (EMR, Lambda, Kinesis, S3)
Python/SQL, Spark, ETL, Spark/Presto/Hive
Writing reusable code in Python/SQL to build and enhance their data framework
Enhancing model deployment across the full project lifecycle
DevOps experience is a bonus
Ability to mentor Junior Engineers
Willingness to learn or enhance knowledge with new technologies
Desired - Machine Learning experience in a production environment
Strong salary and package on offer.
For further information please contact Lewis Forsyth on l.forsyth @ vertex-solutions.com
08/02/2019
Full time
Are you looking for a rewarding and rapidly developing company who live and breathe data? Are you a Senior Data Engineer with experience in AWS, Python (Pandas, NumPy), SQL, Spark/Hive, ETL, Machine Learning? In this role, you will be instrumental in projects that will have a huge impact on the company's growth and development.
About the role
You will thrash out ideas with a world-class team of Engineers & Data Scientists, collaborating on a number of industry-leading projects. Autonomy, freedom and new technologies enable them to retain and attract staff of the highest calibre.
Skills required
Proven experience in building data pipeline's, API's, enhancing data management
Experience required in working with AWS (EMR, Lambda, Kinesis, S3)
Python/SQL, Spark, ETL, Spark/Presto/Hive
Writing reusable code in Python/SQL to build and enhance their data framework
Enhancing model deployment across the full project lifecycle
DevOps experience is a bonus
Ability to mentor Junior Engineers
Willingness to learn or enhance knowledge with new technologies
Desired - Machine Learning experience in a production environment
Strong salary and package on offer.
For further information please contact Lewis Forsyth on l.forsyth @ vertex-solutions.com
McLaren IT sits at the heart of McLaren’s operations and is an essential part of our brand, ensuring that Applied Technologies, Racing and Automotive have the resources they need to function at the highest level. We work at the forefront of innovation and offer a fast paced, cutting edge and challenging environment for those driven by ambition and a desire to win!
Purpose of the Role:
Reporting to the Reporting Lead, the Data Analytics Engineer will be part of team responsible for the specification, building and maintenance of our data engineering platforms. This includes the integration and management of the various data sources that feed into our existing warehouse solution as well as availability of data to visualisation platforms for pre-defined or self-service BI reporting.
You will work closely with key business users and IT colleagues to provide a high-quality data engineering solution, in addition provisioning SME best practice guidance across the domain.
Role Dimensions:
Close liaison with IT Extended Leadership team and business sponsors within each of McLaren’s businesses, IT SME’s and domain functional experts across the company.
Works with suppliers, project managers, technical architects and technical delivery teams to specify, build, and maintain data engineering platforms for Business Intelligence and Analytics.
Works with data scientists, domain functional experts and business stakeholders to catalogue, explore, enable access to, prepare, and visualize internal and external data sources.
Principal Accountabilities:
Provide functional expertise and guidance around leveraging the capabilities of data engineering platforms to business stakeholders
Act as liaison between business key users and the CoE for investigating, analysing, and implementing data warehouse (including documenting, mapping business requirements, analysing processes and developing system modifications to satisfy business needs)
Produce end-to-end solutions for new and existing projects
Deliver configuration enhancements from concept to solution (change requests)
Manage complex incident resolution (root-cause analysis, problem statements)
Provide excellent responsiveness for level 2 and 3 business support requests
Run proof of concepts and investigate opportunities for use of innovative cloud solutions
Assists in the definition of the data engineering strategy, solutions and roadmaps, ensuring they meet McLaren business requirements and performance goals in line with McLaren Technology Group IT strategy.
Responsible for ensuring the production services are optimally configured and aligned to best practices to protect production data.
Part of team performing the development of data consumption and data storage platforms
Development of data manipulation services (e.g. machine learning, stored procedures, USQL, TSQL, ETL, scripting (Python or R) etc)
Creation of reports and dashboards on behalf of IT and in conjunction with business stakeholders.
Essential Knowledge, Skills and Experience:
Proven production experience and best practice knowledge, working in an Azure Data Factory v1 and v2 environment
Best practice principles behind taking various data sources (such as SAP) and loading into warehouse with associated data transformation to present to Power BI platform
Designing solutions around re-usability and for ad-hoc reporting usage.
Hands on usage of linked services, datasets and pipelines within Azure environment
Knowledge of multi-tier, high availability, cloud and on premise data engineering solutions in a complex multi-cloud, multi-site enterprise environment
Knowledge of cloud platforms, features, and capabilities with previous experience of integrating cloud services to work with on premise data sources and clients.
Strong SQL knowledge to include common table expressions
Previous experience of creating dashboards and data visualization elements within a Power BI or Business Objects front end
Ability to develop functional specifications for business requirements
Proven experience working with offshore teams to utilize resources to meet deliverables
Demonstrable experience of ETL technologies
Desirable Knowledge, Skills and Experience:
Azure Machine Learning for predictive analytics
Azure LogicApps and Event Hubs
SAP Business Objects and functional exposure
Experience with scripting languages such as Python, R, REST and PowerShell
Automotive experience
Personal Attributes:
Demonstrates creativity and self-motivation in identifying opportunities and finding solutions
Establishes credibility in order to work as a results driven and collaborative team player
Flexible approach to continually adapt within a dynamic workplace
Business knowledge and process design skills
Ability to analyse problems and provide clear recommendations
Excellent interpersonal, communication skills, written and verbal combined with effective technical presentation skills
Organised, methodical and able to multi-task whilst working under tight deadlines
The Work Environment:
We offer a flexible working environment across our South-East sites including the world-renowned McLaren Technology Centre. Our campus includes a subsidised restaurant, a café, a gym with a pool, break-out spaces, bicycle storage facilities and more. Our environments are designed to encourage collaborative working across all teams. You will be amongst specialists within their field, whether it’s in design, modelling and simulation, software development, data analytics, electronics hardware, finance and marketing.
The Recruitment Process:
If your application is successful, you’ll be invited for a phone interview with one of our experienced technical recruiters.
Following successful review, you will then partake in a 30-minute telephone interview with the Hiring Manager.
The final stage will be an onsite face to face interview at the McLaren Technology Centre in Woking, Surrey with the Hiring Manager and wider team.
Please note: you must hold the Right to Work in the UK.
31/01/2019
Full time
McLaren IT sits at the heart of McLaren’s operations and is an essential part of our brand, ensuring that Applied Technologies, Racing and Automotive have the resources they need to function at the highest level. We work at the forefront of innovation and offer a fast paced, cutting edge and challenging environment for those driven by ambition and a desire to win!
Purpose of the Role:
Reporting to the Reporting Lead, the Data Analytics Engineer will be part of team responsible for the specification, building and maintenance of our data engineering platforms. This includes the integration and management of the various data sources that feed into our existing warehouse solution as well as availability of data to visualisation platforms for pre-defined or self-service BI reporting.
You will work closely with key business users and IT colleagues to provide a high-quality data engineering solution, in addition provisioning SME best practice guidance across the domain.
Role Dimensions:
Close liaison with IT Extended Leadership team and business sponsors within each of McLaren’s businesses, IT SME’s and domain functional experts across the company.
Works with suppliers, project managers, technical architects and technical delivery teams to specify, build, and maintain data engineering platforms for Business Intelligence and Analytics.
Works with data scientists, domain functional experts and business stakeholders to catalogue, explore, enable access to, prepare, and visualize internal and external data sources.
Principal Accountabilities:
Provide functional expertise and guidance around leveraging the capabilities of data engineering platforms to business stakeholders
Act as liaison between business key users and the CoE for investigating, analysing, and implementing data warehouse (including documenting, mapping business requirements, analysing processes and developing system modifications to satisfy business needs)
Produce end-to-end solutions for new and existing projects
Deliver configuration enhancements from concept to solution (change requests)
Manage complex incident resolution (root-cause analysis, problem statements)
Provide excellent responsiveness for level 2 and 3 business support requests
Run proof of concepts and investigate opportunities for use of innovative cloud solutions
Assists in the definition of the data engineering strategy, solutions and roadmaps, ensuring they meet McLaren business requirements and performance goals in line with McLaren Technology Group IT strategy.
Responsible for ensuring the production services are optimally configured and aligned to best practices to protect production data.
Part of team performing the development of data consumption and data storage platforms
Development of data manipulation services (e.g. machine learning, stored procedures, USQL, TSQL, ETL, scripting (Python or R) etc)
Creation of reports and dashboards on behalf of IT and in conjunction with business stakeholders.
Essential Knowledge, Skills and Experience:
Proven production experience and best practice knowledge, working in an Azure Data Factory v1 and v2 environment
Best practice principles behind taking various data sources (such as SAP) and loading into warehouse with associated data transformation to present to Power BI platform
Designing solutions around re-usability and for ad-hoc reporting usage.
Hands on usage of linked services, datasets and pipelines within Azure environment
Knowledge of multi-tier, high availability, cloud and on premise data engineering solutions in a complex multi-cloud, multi-site enterprise environment
Knowledge of cloud platforms, features, and capabilities with previous experience of integrating cloud services to work with on premise data sources and clients.
Strong SQL knowledge to include common table expressions
Previous experience of creating dashboards and data visualization elements within a Power BI or Business Objects front end
Ability to develop functional specifications for business requirements
Proven experience working with offshore teams to utilize resources to meet deliverables
Demonstrable experience of ETL technologies
Desirable Knowledge, Skills and Experience:
Azure Machine Learning for predictive analytics
Azure LogicApps and Event Hubs
SAP Business Objects and functional exposure
Experience with scripting languages such as Python, R, REST and PowerShell
Automotive experience
Personal Attributes:
Demonstrates creativity and self-motivation in identifying opportunities and finding solutions
Establishes credibility in order to work as a results driven and collaborative team player
Flexible approach to continually adapt within a dynamic workplace
Business knowledge and process design skills
Ability to analyse problems and provide clear recommendations
Excellent interpersonal, communication skills, written and verbal combined with effective technical presentation skills
Organised, methodical and able to multi-task whilst working under tight deadlines
The Work Environment:
We offer a flexible working environment across our South-East sites including the world-renowned McLaren Technology Centre. Our campus includes a subsidised restaurant, a café, a gym with a pool, break-out spaces, bicycle storage facilities and more. Our environments are designed to encourage collaborative working across all teams. You will be amongst specialists within their field, whether it’s in design, modelling and simulation, software development, data analytics, electronics hardware, finance and marketing.
The Recruitment Process:
If your application is successful, you’ll be invited for a phone interview with one of our experienced technical recruiters.
Following successful review, you will then partake in a 30-minute telephone interview with the Hiring Manager.
The final stage will be an onsite face to face interview at the McLaren Technology Centre in Woking, Surrey with the Hiring Manager and wider team.
Please note: you must hold the Right to Work in the UK.
This role entails working for a well-known digital insurance business whose focus is always on customers. They are searching for an experienced business data analyst with strong technical data analysis experience to help the organisation better understand customer behaviour data and create actionable insights. This is a new challenging position that will work closely with the web analytics analyst and the digital product owner to create the next generation of insight powered digital services for their very many customers.
Role & Responsibilities
Ask direct and focussed questions about customer behaviours.
Enhance customer digital journeys using deep data driven insights.
Undertake a range of analysis on customer behaviours.
Analyse existing data sources and determine a way to integrate them.
Integrate customer behaviour data with web analytics data to create a single customer behaviour view.
Perform a range of business analysis queries against the single customer view of behaviours.
Explain and communicate findings after analysing customer data so that key business stakeholders engage with the insights.
Identify and recommend valuable forward looking customer behaviour KPI metrics
Understand our customer behaviour data sources
Experience & Skills Required
Educated to degree level in a numerate subject.
Successfully undertake business analysis work whilst undertaking technical data analysis
Confidently load datasets and write queries to analyse the data.
Possess strong data mapping and analysis skills
Generate insightful conclusions from our customer behaviour data.
Experience of a Digital environment ideally including Adobe Analytics.
Have strong SQL skills including data profiling and supporting tools.
Demonstrate the ability to build relationships and to engage stakeholders with data driven insights – promoting the benefits of being data driven
An innate sense of what makes a successful customer experience buying financials services online.
Keep people energised, positive and focussed on delivering value
If you fit the above job description, please contact Teresa Cheeseman on 01256 314 660 or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
31/01/2019
Full time
This role entails working for a well-known digital insurance business whose focus is always on customers. They are searching for an experienced business data analyst with strong technical data analysis experience to help the organisation better understand customer behaviour data and create actionable insights. This is a new challenging position that will work closely with the web analytics analyst and the digital product owner to create the next generation of insight powered digital services for their very many customers.
Role & Responsibilities
Ask direct and focussed questions about customer behaviours.
Enhance customer digital journeys using deep data driven insights.
Undertake a range of analysis on customer behaviours.
Analyse existing data sources and determine a way to integrate them.
Integrate customer behaviour data with web analytics data to create a single customer behaviour view.
Perform a range of business analysis queries against the single customer view of behaviours.
Explain and communicate findings after analysing customer data so that key business stakeholders engage with the insights.
Identify and recommend valuable forward looking customer behaviour KPI metrics
Understand our customer behaviour data sources
Experience & Skills Required
Educated to degree level in a numerate subject.
Successfully undertake business analysis work whilst undertaking technical data analysis
Confidently load datasets and write queries to analyse the data.
Possess strong data mapping and analysis skills
Generate insightful conclusions from our customer behaviour data.
Experience of a Digital environment ideally including Adobe Analytics.
Have strong SQL skills including data profiling and supporting tools.
Demonstrate the ability to build relationships and to engage stakeholders with data driven insights – promoting the benefits of being data driven
An innate sense of what makes a successful customer experience buying financials services online.
Keep people energised, positive and focussed on delivering value
If you fit the above job description, please contact Teresa Cheeseman on 01256 314 660 or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
At Signifyd we’re creating a new market. We’re constantly improving and expanding the technology that has changed what fraud protection for e-commerce looks like. So we don’t have time for office politics. We understand that different people have different work styles and we thrive on variety while learning from each other. We’re all Signifyers, so we know that what needs to get done will get done.
Signifyd is a place where no one is going to tell you how to do your job. If you want help, you'll get it — from all quarters. But we pretty much figure out what needs to be done, who's in the best position to do it and then let that person roll-up her or his sleeves and have at it. We're protecting retailers from online fraud in a way that's never been done before and we could use your help if you're someone:
Who believes challenges are best overcome by thinking differently.
Who knows his or her role, but isn’t confined by it.
Who’s greatest satisfaction comes from helping customers succeed and achieve their dreams.
Who isn’t afraid to disagree, convincingly, civilly and honestly.
Who will stop and hold the door for a colleague, even if you’re running late.
Oh, and a few particulars for this role:
You will have the opportunity to apply your knowledge of machine learning, statistics and your analytical skills to develop models detecting fraud patterns. You will ideate, test and deploy advanced predictive signals to improve fraud detection performance. You will collaborate with other data scientists and engineers to build data pipelines, do feature prototyping, and write production-grade code to implement analytical algorithms and flexible strategies.
Specific job duties may include:
Writing or modifying data pipelines to process and mine historical data
Processing and analyzing data collected with research prototypes
Ideation, prototyping, measuring predictive features transforming data into actionable information
Prototyping and validating models and algorithms to boost model performance
Writing production code (python, SQL, etc.) to deliver analytics content
Required Skills and Experience:
An advanced degree (M.S. or Ph.D) in computer science, applied mathematics, or a comparable analytical field from an accredited institution
Expert proficiency with an advanced data analysis toolkit (such as python/matplotlib, R, ROOT, etc.)
Superior SQL skills with proven experience in relational databases and data warehouses
5+ years of demonstrated fluency with python and at least one other programming language
2+ yrs of experience with NoSQL databases and unstructured data
2+ yrs of experience setting up and using distributed/parallel processing frameworks such as Spark, Hadoop, Storm etc. is a big plus
Demonstrated ability to develop high-quality code adhering to industry best practices (i.e., code review, unit tests, Gitflow)
Possession of core analytics skills and expertise (as demonstrated by prior work):
Knowledge of applied statistics and key concepts underlying statistical inference and inductive reasoning
Experience designing experiments and collecting data
Experience developing models based on sensor data, and an understanding of error propagation and the limitations of data subject to measurement uncertainties
Demonstrable expertise in one or more areas: applied mathematics, predictive analytics, expert systems, ANNs/deep learning, graph theory, Markov Chain Monte Carlo, geo-informatics (GIS), language processing, risk analysis
Work/project history reflective of a self-motivated professional who excels when given open-ended problems and broadly-defined goals, having an innate desire to discover the patterns and relationships in data that can be leveraged to provide business value
29/01/2019
Full time
At Signifyd we’re creating a new market. We’re constantly improving and expanding the technology that has changed what fraud protection for e-commerce looks like. So we don’t have time for office politics. We understand that different people have different work styles and we thrive on variety while learning from each other. We’re all Signifyers, so we know that what needs to get done will get done.
Signifyd is a place where no one is going to tell you how to do your job. If you want help, you'll get it — from all quarters. But we pretty much figure out what needs to be done, who's in the best position to do it and then let that person roll-up her or his sleeves and have at it. We're protecting retailers from online fraud in a way that's never been done before and we could use your help if you're someone:
Who believes challenges are best overcome by thinking differently.
Who knows his or her role, but isn’t confined by it.
Who’s greatest satisfaction comes from helping customers succeed and achieve their dreams.
Who isn’t afraid to disagree, convincingly, civilly and honestly.
Who will stop and hold the door for a colleague, even if you’re running late.
Oh, and a few particulars for this role:
You will have the opportunity to apply your knowledge of machine learning, statistics and your analytical skills to develop models detecting fraud patterns. You will ideate, test and deploy advanced predictive signals to improve fraud detection performance. You will collaborate with other data scientists and engineers to build data pipelines, do feature prototyping, and write production-grade code to implement analytical algorithms and flexible strategies.
Specific job duties may include:
Writing or modifying data pipelines to process and mine historical data
Processing and analyzing data collected with research prototypes
Ideation, prototyping, measuring predictive features transforming data into actionable information
Prototyping and validating models and algorithms to boost model performance
Writing production code (python, SQL, etc.) to deliver analytics content
Required Skills and Experience:
An advanced degree (M.S. or Ph.D) in computer science, applied mathematics, or a comparable analytical field from an accredited institution
Expert proficiency with an advanced data analysis toolkit (such as python/matplotlib, R, ROOT, etc.)
Superior SQL skills with proven experience in relational databases and data warehouses
5+ years of demonstrated fluency with python and at least one other programming language
2+ yrs of experience with NoSQL databases and unstructured data
2+ yrs of experience setting up and using distributed/parallel processing frameworks such as Spark, Hadoop, Storm etc. is a big plus
Demonstrated ability to develop high-quality code adhering to industry best practices (i.e., code review, unit tests, Gitflow)
Possession of core analytics skills and expertise (as demonstrated by prior work):
Knowledge of applied statistics and key concepts underlying statistical inference and inductive reasoning
Experience designing experiments and collecting data
Experience developing models based on sensor data, and an understanding of error propagation and the limitations of data subject to measurement uncertainties
Demonstrable expertise in one or more areas: applied mathematics, predictive analytics, expert systems, ANNs/deep learning, graph theory, Markov Chain Monte Carlo, geo-informatics (GIS), language processing, risk analysis
Work/project history reflective of a self-motivated professional who excels when given open-ended problems and broadly-defined goals, having an innate desire to discover the patterns and relationships in data that can be leveraged to provide business value
