G-Research is a leading quantitative research and technology company. By using the latest scientific techniques, we produce world-beating predictive research and build advanced technology to analyse the world’s data.
Software Engineering is core to our business. By designing and implementing real-time systems, our engineers are solving some of the world’s most complex financial problems.
The Role
Our business is to predict the future of financial markets, applying scientific techniques to find patterns in large, noisy, and rapidly changing datasets. Every new dataset has the potential to yield new research initiatives, and our mission as a team is to maximise the number of useful datasets that quants can analyse.
In this role, you will apply your data engineering expertise to help build a next generation data ingestion and transformation platform to support the companies growing data requirements. You will be building a platform that will allow a scale up in the data science team’s ability to process data and deliver a significant advancement in the firm’s data productivity. You will be hands on with big data and NoSQL technologies and will be building microservices and tooling that facilitate the ability to ingest new datasets. You will be working hand in hand with data scientists to understand their requirements and translate these into enterprise scale solutions.
This is an exciting new role that will offer exposure to cutting-edge technologies in a high growth industry, with opportunities to learn about multi-asset class systematic investing and big data development in an innovative and forward-thinking firm. It will give an opportunity to make a big impact in a critical part of a growing business. You will be working with cutting edge technologies in an ambitious and technically focussed firm.
Who are we looking for?
You will be an intelligent, capable and hands-on engineer who is enthusiastic and has a genuine interest in both software technology and data science. You will have proven ability to engineer high quality software and experience with python and pandas in a data science context.
The successful candidate will have:
Experience in building microservices.
Experience of relational databases and SQL.
Experience of NoSQL databases – particularly Cassandra.
Experience of Spark and Scala is preferred.
Experience of Java or other OO languages considered advantageous.
Why should you apply?
Highly competitive compensation plus annual discretionary bonus
Informal dress code and excellent work/life balance
Comprehensive healthcare and life assurance
25 days holiday
Contributory pension scheme
Cycle-to-work scheme
Subsidised gym membership
Monthly company events
Central London office close to 5 stations and 6 tube lines
26/02/2019
Full time
G-Research is a leading quantitative research and technology company. By using the latest scientific techniques, we produce world-beating predictive research and build advanced technology to analyse the world’s data.
Software Engineering is core to our business. By designing and implementing real-time systems, our engineers are solving some of the world’s most complex financial problems.
The Role
Our business is to predict the future of financial markets, applying scientific techniques to find patterns in large, noisy, and rapidly changing datasets. Every new dataset has the potential to yield new research initiatives, and our mission as a team is to maximise the number of useful datasets that quants can analyse.
In this role, you will apply your data engineering expertise to help build a next generation data ingestion and transformation platform to support the companies growing data requirements. You will be building a platform that will allow a scale up in the data science team’s ability to process data and deliver a significant advancement in the firm’s data productivity. You will be hands on with big data and NoSQL technologies and will be building microservices and tooling that facilitate the ability to ingest new datasets. You will be working hand in hand with data scientists to understand their requirements and translate these into enterprise scale solutions.
This is an exciting new role that will offer exposure to cutting-edge technologies in a high growth industry, with opportunities to learn about multi-asset class systematic investing and big data development in an innovative and forward-thinking firm. It will give an opportunity to make a big impact in a critical part of a growing business. You will be working with cutting edge technologies in an ambitious and technically focussed firm.
Who are we looking for?
You will be an intelligent, capable and hands-on engineer who is enthusiastic and has a genuine interest in both software technology and data science. You will have proven ability to engineer high quality software and experience with python and pandas in a data science context.
The successful candidate will have:
Experience in building microservices.
Experience of relational databases and SQL.
Experience of NoSQL databases – particularly Cassandra.
Experience of Spark and Scala is preferred.
Experience of Java or other OO languages considered advantageous.
Why should you apply?
Highly competitive compensation plus annual discretionary bonus
Informal dress code and excellent work/life balance
Comprehensive healthcare and life assurance
25 days holiday
Contributory pension scheme
Cycle-to-work scheme
Subsidised gym membership
Monthly company events
Central London office close to 5 stations and 6 tube lines
G-Research is a leading quantitative research and technology company. By using the latest scientific techniques, we produce world-beating predictive research and build advanced technology to analyse the world’s data.
Software Engineering is core to our business. By designing and implementing real-time systems, our engineers are solving some of the world’s most complex financial problems.
The Role
Our Data Operations team are looking for someone to work alongside our existing data analytics team. You will have a proven background in data analysis developing bespoke dashboards for analysis. You will have the opportunity to shape the role with your own ideas, leading with expertise from previous roles to develop existing and future processes and procedures. Your responsibilities in this role will include but not be limited to:
Have a strong understanding of global exchange traded data
Have detailed practical working knowledge of the challenges faced working with reference data.
Understand and document new and existing data models
Provide analysis for data quality and assurance for intra-day market data, identifying and resolving issues.
Perform data validation across a number of external data sets using data visualisation.
Expected to take the initiative to explore different ways of performing tasks but will also follow specific requirements
Co-opt stakeholders to drive a data management culture
Create and analyse bespoke analytics on behalf of key stake holders.
Create custom dashboards for big data analyses employing a range of interactive visualizations methods
You will have the opportunity to drive the success of a new function and have the autonomy to make the role your own, with excellent growth and advancement opportunities. This is a truly multi-faceted role requiring a careful blend of technical and interpersonal skills so you can expect to be stimulated and challenged on a daily basis with a range of new and interesting problems to solve.
Who are looking for?
You will be a pragmatic, motivated and conscientious professional with a background in data analysis or management. You will collaborate with Engineers, Quantitative Researchers and your peers, so exemplary written and oral communication skills coupled with an approachable and proactive manner are key.
Why should you apply?
Highly competitive compensation plus annual discretionary bonus
Informal dress code and excellent work/life balance
Comprehensive healthcare and life assurance
25 days holiday
Contributory pension scheme
Cycle-to-work scheme
Subsidised gym membership
Monthly company events
26/02/2019
Full time
G-Research is a leading quantitative research and technology company. By using the latest scientific techniques, we produce world-beating predictive research and build advanced technology to analyse the world’s data.
Software Engineering is core to our business. By designing and implementing real-time systems, our engineers are solving some of the world’s most complex financial problems.
The Role
Our Data Operations team are looking for someone to work alongside our existing data analytics team. You will have a proven background in data analysis developing bespoke dashboards for analysis. You will have the opportunity to shape the role with your own ideas, leading with expertise from previous roles to develop existing and future processes and procedures. Your responsibilities in this role will include but not be limited to:
Have a strong understanding of global exchange traded data
Have detailed practical working knowledge of the challenges faced working with reference data.
Understand and document new and existing data models
Provide analysis for data quality and assurance for intra-day market data, identifying and resolving issues.
Perform data validation across a number of external data sets using data visualisation.
Expected to take the initiative to explore different ways of performing tasks but will also follow specific requirements
Co-opt stakeholders to drive a data management culture
Create and analyse bespoke analytics on behalf of key stake holders.
Create custom dashboards for big data analyses employing a range of interactive visualizations methods
You will have the opportunity to drive the success of a new function and have the autonomy to make the role your own, with excellent growth and advancement opportunities. This is a truly multi-faceted role requiring a careful blend of technical and interpersonal skills so you can expect to be stimulated and challenged on a daily basis with a range of new and interesting problems to solve.
Who are looking for?
You will be a pragmatic, motivated and conscientious professional with a background in data analysis or management. You will collaborate with Engineers, Quantitative Researchers and your peers, so exemplary written and oral communication skills coupled with an approachable and proactive manner are key.
Why should you apply?
Highly competitive compensation plus annual discretionary bonus
Informal dress code and excellent work/life balance
Comprehensive healthcare and life assurance
25 days holiday
Contributory pension scheme
Cycle-to-work scheme
Subsidised gym membership
Monthly company events
Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers: Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017.
Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange and is one of the largest independent international agency led by media and data experts.
What you will be doing: Key responsibilities
As a Senior Data Scientist Engineer, your role will encompass:
Leading and conducting ambitious projects in the transformation of clients through data
Having a contributor role in raising the level of competencies of the data science team
Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
You’ll also participate in international projects. Business travel is something you enjoy!
Among your responsibilities as Senior Data Scientist Engineer, you will be responsible for:
Leading data projects
Managing the resources on your projects to ensure challenges and skills are well match
Securing delivery on your projects
Communicating the successes of your projects among the company
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring
Being a great tech role model
Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Sharing best practices and contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same
Qualifications: Education & experience required
A Master’s degree in machine learning, mathematics, computer science, or related fields
2+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)
Strong experience and knowledge of computer science, data processing, algorithms, and data architecture
Experience leading a technical project in a business context
Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
What we are looking for
A Doer: You get things done and inspire your teams to do the same
An Analyst: You LOVE data and think every company should take their decisions with facts
A Pragmatist: You have a hacker mindset and always find the quick wins
A Mentor: Your clients and teams naturally seek for advice
An Adventurer: You’re an entrepreneur constantly looking for problems to solve
Why you should join us
Artefact is the place to be: Come and build the future of marketing
Progress: Every day offers new challenges and new opportunities to learn
Culture: Join the best team you could ever imagine
Entrepreneurship: You will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!
Come join us!
18/03/2019
Full time
Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers: Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017.
Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange and is one of the largest independent international agency led by media and data experts.
What you will be doing: Key responsibilities
As a Senior Data Scientist Engineer, your role will encompass:
Leading and conducting ambitious projects in the transformation of clients through data
Having a contributor role in raising the level of competencies of the data science team
Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
You’ll also participate in international projects. Business travel is something you enjoy!
Among your responsibilities as Senior Data Scientist Engineer, you will be responsible for:
Leading data projects
Managing the resources on your projects to ensure challenges and skills are well match
Securing delivery on your projects
Communicating the successes of your projects among the company
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring
Being a great tech role model
Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Sharing best practices and contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same
Qualifications: Education & experience required
A Master’s degree in machine learning, mathematics, computer science, or related fields
2+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)
Strong experience and knowledge of computer science, data processing, algorithms, and data architecture
Experience leading a technical project in a business context
Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
What we are looking for
A Doer: You get things done and inspire your teams to do the same
An Analyst: You LOVE data and think every company should take their decisions with facts
A Pragmatist: You have a hacker mindset and always find the quick wins
A Mentor: Your clients and teams naturally seek for advice
An Adventurer: You’re an entrepreneur constantly looking for problems to solve
Why you should join us
Artefact is the place to be: Come and build the future of marketing
Progress: Every day offers new challenges and new opportunities to learn
Culture: Join the best team you could ever imagine
Entrepreneurship: You will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!
Come join us!
What you will be doing: Key responsibilities
As a Data Engineer, your role will encompass:
Conducting ambitious projects in the transformation of clients through data
Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
Among your responsibilities as a Data Engineer, you will be responsible for:
Performing data projects
Securing delivery on your projects
Communicating the success of your projects among the company
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Ensuring that your solutions are bringing values to the client problematic
Being a good team player, knowing your role and responsibility in the global ambition
Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring
Being a great tech person
Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Sharing best practices and contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same
Experience working with Big Data technologies such as Hadoop, Spark, Kafka…
Delivering Data Lake / Big Data projects including (data ingestion, machine learning model application, code deployment)
Being able to adapt your solutions and approaches to technical environment (security, access, tools)
Qualifications :Education and Experience
Bachelor’s degree in computer science, computer engineering, or related fields
1+ years of hands-on experience developing and applying data-driven solutions
Strong experience and knowledge of computer science, data processing and data architecture
Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
Experience in designing Data Integration / ETL
Experience with Python, Linux, SQL, Cloud infrastructure and Docker
Experience with Spark, BigQuery/ Redshift, Devops and Javascript is a plus
18/03/2019
Full time
What you will be doing: Key responsibilities
As a Data Engineer, your role will encompass:
Conducting ambitious projects in the transformation of clients through data
Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
Among your responsibilities as a Data Engineer, you will be responsible for:
Performing data projects
Securing delivery on your projects
Communicating the success of your projects among the company
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Ensuring that your solutions are bringing values to the client problematic
Being a good team player, knowing your role and responsibility in the global ambition
Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring
Being a great tech person
Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Sharing best practices and contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same
Experience working with Big Data technologies such as Hadoop, Spark, Kafka…
Delivering Data Lake / Big Data projects including (data ingestion, machine learning model application, code deployment)
Being able to adapt your solutions and approaches to technical environment (security, access, tools)
Qualifications :Education and Experience
Bachelor’s degree in computer science, computer engineering, or related fields
1+ years of hands-on experience developing and applying data-driven solutions
Strong experience and knowledge of computer science, data processing and data architecture
Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
Experience in designing Data Integration / ETL
Experience with Python, Linux, SQL, Cloud infrastructure and Docker
Experience with Spark, BigQuery/ Redshift, Devops and Javascript is a plus
IHS Markit Financial Risk Analytics delivers enterprise risk solutions to some of the largest firms in the financial services industry, and is part of IHS Markit, a dynamic entrepreneurial company listed on NASDAQ.
IHS Markit is currently investing in their technology platform to develop a number of new revenue generating products, leveraging open source and big data technologies. These include new visualisation, risk aggregation and smart data initiatives that address new data, risk and regulatory requirements and are highly visible and strategic within the organisation.
These initiatives are using best of breed technologies, such as Hadoop, Spark, HDFS, HBase, Cassandra along with in-house developed technologies, and the successful candidate will be working in a fast paced, dynamic team environment, building commercial products which are at the heart of the business.
Position summary
We are currently extending our offering to include a risk factor utility. The risk factor utility will initially be focused on FRTB but will leverage the latest technology to be highly interactive and configurable to have application across many regulations. Under FRTB the bar for achieving and retaining model approval has been raised very significantly and the amount of capital will be much more sensitive to modelling choices and data quality for historic time series. The utility will support banks in their capital modelling by offering time series collection, cleaning, modelling for delivery via software as a service and will incorporate data from the other divisions of market such as CDS.
We are looking for a Technical Business Analyst who will be the vital link between our information technology capacity and our business objectives by supporting and ensuring the successful completion of analytical, building, testing and deployment tasks of our software product’s features.
Duties & accountabilities
Work with clients to configure and use our tools for scenarios generation and capital analytics
Design, build and update mock-ups / prototypes of the product based on requirements and workshops
Sanity and component testing of new features during the development phase & review of test plans.
Capture detailed business and functional/non-functional requirements from existing systems, SME interviews and workshops.
Own and develop relationship with customers, working with them to optimize and enhance our integration
Business competencies
Education and experience
Talented developer with strong interest in acquiring business knowledge or experience working as a technical business analyst within a data driven environment such as Fixed Income or Market Risk
University degree in a quantitative subject
Experience of at least one programming language preferably Python but R and SQL also considered
Business awareness
Must have experience in technology projects
Understanding of financial markets, financial instruments and risk practices is desired
Expertise in market risk & counterparty risk measures and product valuation across all asset classes desired
Experience with market data time-series derivation and governance, or market data analysis tools (e.g. Asset Control) desired
Management requirements
Experience in managing and delivering successful and complex technology projects
Excellent teamwork and interpersonal skills
Personal competencies
Personal impact
You love to solve complex problems, whether that's making the user experience as responsive as possible or understanding complex client requirements.
Communication
You can confidently present your own ideas and solutions, as well as guide technical discussions.
You can effectively communicate with external clients
Teamwork
Your welcoming attitude encourages people to approach you when they have a problem you can help them solve.
It is the policy of IHS Markit to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, IHS Markit will provide reasonable accommodations for qualified individuals with disabilities. We maintain a drug-free workplace. For candidates in the US, we are a participant in E-Verify (see link below).
Current Colleagues
If you are currently a colleague with IHS Markit please apply internally via Workday.
18/03/2019
Full time
IHS Markit Financial Risk Analytics delivers enterprise risk solutions to some of the largest firms in the financial services industry, and is part of IHS Markit, a dynamic entrepreneurial company listed on NASDAQ.
IHS Markit is currently investing in their technology platform to develop a number of new revenue generating products, leveraging open source and big data technologies. These include new visualisation, risk aggregation and smart data initiatives that address new data, risk and regulatory requirements and are highly visible and strategic within the organisation.
These initiatives are using best of breed technologies, such as Hadoop, Spark, HDFS, HBase, Cassandra along with in-house developed technologies, and the successful candidate will be working in a fast paced, dynamic team environment, building commercial products which are at the heart of the business.
Position summary
We are currently extending our offering to include a risk factor utility. The risk factor utility will initially be focused on FRTB but will leverage the latest technology to be highly interactive and configurable to have application across many regulations. Under FRTB the bar for achieving and retaining model approval has been raised very significantly and the amount of capital will be much more sensitive to modelling choices and data quality for historic time series. The utility will support banks in their capital modelling by offering time series collection, cleaning, modelling for delivery via software as a service and will incorporate data from the other divisions of market such as CDS.
We are looking for a Technical Business Analyst who will be the vital link between our information technology capacity and our business objectives by supporting and ensuring the successful completion of analytical, building, testing and deployment tasks of our software product’s features.
Duties & accountabilities
Work with clients to configure and use our tools for scenarios generation and capital analytics
Design, build and update mock-ups / prototypes of the product based on requirements and workshops
Sanity and component testing of new features during the development phase & review of test plans.
Capture detailed business and functional/non-functional requirements from existing systems, SME interviews and workshops.
Own and develop relationship with customers, working with them to optimize and enhance our integration
Business competencies
Education and experience
Talented developer with strong interest in acquiring business knowledge or experience working as a technical business analyst within a data driven environment such as Fixed Income or Market Risk
University degree in a quantitative subject
Experience of at least one programming language preferably Python but R and SQL also considered
Business awareness
Must have experience in technology projects
Understanding of financial markets, financial instruments and risk practices is desired
Expertise in market risk & counterparty risk measures and product valuation across all asset classes desired
Experience with market data time-series derivation and governance, or market data analysis tools (e.g. Asset Control) desired
Management requirements
Experience in managing and delivering successful and complex technology projects
Excellent teamwork and interpersonal skills
Personal competencies
Personal impact
You love to solve complex problems, whether that's making the user experience as responsive as possible or understanding complex client requirements.
Communication
You can confidently present your own ideas and solutions, as well as guide technical discussions.
You can effectively communicate with external clients
Teamwork
Your welcoming attitude encourages people to approach you when they have a problem you can help them solve.
It is the policy of IHS Markit to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, IHS Markit will provide reasonable accommodations for qualified individuals with disabilities. We maintain a drug-free workplace. For candidates in the US, we are a participant in E-Verify (see link below).
Current Colleagues
If you are currently a colleague with IHS Markit please apply internally via Workday.
McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport.
Our team
Our self-organised and agile concept teams work collaboratively to solve crucial challenges in the health and transport industries.
Concept teams are formed of Data Scientists, C#, Scala, Java, Front End, Mobile and Simulation Engineers, and are responsible for the design, commit, deploy, maintenance and operations of our projects guided by the governance of our delivery framework.
The role
As a Software engineer who is passionate about technology, you will use the latest open-source technologies to create robust and scalable software that runs in the cloud. You will develop small prototypes and spikes that reduce risk and actively contribute to agile ceremonies. You will work on a variety of projects, often highly complex and based around mission critical systems, delivering real time telemetry, visualisation, modelling and data analytics, underpinned by high performance databases. You will help to refine and optimise our methods of data streaming, aggregation, asset management, manipulation, modelling and visualisation, through clean and consistent coding.
Requirements
First-class or Upper 2nd class degree in Computer Science, or equivalent.
Demonstrable programming experience in Java
Good understanding of agile practices
Ability to work with highly complex, scalable code
Skills and expertise
Experience designing, developing and creating RESTful web services and APIs
Experience with Amazon Web Services or Azure
Familiarity with Front-end technologies such as Angular.js or node.js
Experience with SQL and NoSQL databases
Experience in Scala or other functional programming languages desirable
Familiarity with CI/CD and configuration tools e.g. Jenkins or Puppet/Chef is also desirable
Personal attributes
We are looking for someone who shares our love for software development and delivering high quality products.
Willingness to learn quickly. You’re not going to know everything about the company straight away, but we need you to proactively seek learning opportunities.
Likes to have fun. Yes, we work hard, but working at McLaren is like no other job in the world, so we want you to enjoy your time here.
The work environment
You will be based at our new, unique and spacious offices in the South Bank area of London. The building has bike storage space, showers and stunning views of London. The building hosts weekly networking events, happy hours, classes and workshops. Some travel to the McLaren Technology Centre (Woking, Surrey) will be required.
McLaren's Product Innovation Framework
Take the unique opportunity to bring your own ideas to life, whether it’s a software package or a tangible product. If the application for your idea is successful, it will be backed by a significant pledge from the business to fund time and materials costs. Our ambition is that we continue to foster the spirit of innovation and entrepreneurship within Applied Technologies.
Recruitment Process
If our experienced technical recruiters find your application is suitable for the role, you will be asked to complete a coding assessment. The assessment will be completed in your own time.
If your coding assessment is successful, you’ll be invited for a phone interview with one of our hiring managers which will include technical questions relating to the job role.
The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team. This interview will include a pair programming exercise.
18/03/2019
Full time
McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport.
Our team
Our self-organised and agile concept teams work collaboratively to solve crucial challenges in the health and transport industries.
Concept teams are formed of Data Scientists, C#, Scala, Java, Front End, Mobile and Simulation Engineers, and are responsible for the design, commit, deploy, maintenance and operations of our projects guided by the governance of our delivery framework.
The role
As a Software engineer who is passionate about technology, you will use the latest open-source technologies to create robust and scalable software that runs in the cloud. You will develop small prototypes and spikes that reduce risk and actively contribute to agile ceremonies. You will work on a variety of projects, often highly complex and based around mission critical systems, delivering real time telemetry, visualisation, modelling and data analytics, underpinned by high performance databases. You will help to refine and optimise our methods of data streaming, aggregation, asset management, manipulation, modelling and visualisation, through clean and consistent coding.
Requirements
First-class or Upper 2nd class degree in Computer Science, or equivalent.
Demonstrable programming experience in Java
Good understanding of agile practices
Ability to work with highly complex, scalable code
Skills and expertise
Experience designing, developing and creating RESTful web services and APIs
Experience with Amazon Web Services or Azure
Familiarity with Front-end technologies such as Angular.js or node.js
Experience with SQL and NoSQL databases
Experience in Scala or other functional programming languages desirable
Familiarity with CI/CD and configuration tools e.g. Jenkins or Puppet/Chef is also desirable
Personal attributes
We are looking for someone who shares our love for software development and delivering high quality products.
Willingness to learn quickly. You’re not going to know everything about the company straight away, but we need you to proactively seek learning opportunities.
Likes to have fun. Yes, we work hard, but working at McLaren is like no other job in the world, so we want you to enjoy your time here.
The work environment
You will be based at our new, unique and spacious offices in the South Bank area of London. The building has bike storage space, showers and stunning views of London. The building hosts weekly networking events, happy hours, classes and workshops. Some travel to the McLaren Technology Centre (Woking, Surrey) will be required.
McLaren's Product Innovation Framework
Take the unique opportunity to bring your own ideas to life, whether it’s a software package or a tangible product. If the application for your idea is successful, it will be backed by a significant pledge from the business to fund time and materials costs. Our ambition is that we continue to foster the spirit of innovation and entrepreneurship within Applied Technologies.
Recruitment Process
If our experienced technical recruiters find your application is suitable for the role, you will be asked to complete a coding assessment. The assessment will be completed in your own time.
If your coding assessment is successful, you’ll be invited for a phone interview with one of our hiring managers which will include technical questions relating to the job role.
The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team. This interview will include a pair programming exercise.
McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport.
Our team
As a part of our Modelling and Decision Sciences function, you will build the modelling components that underpin our data-driven products and solutions from research and design, prototype and validation, through to deployment. You will work as part of cross-disciplinary teams alongside software engineers, systems engineers, and designers. You will also contribute to our core technology platforms for data and model management, as well as pushing forward our capability in our three key areas of Modelling and Decision Science: modelling insight, optimisation and control.
The role
This is an exciting opportunity to join our ConditionInsight portfolio team. In this team we develop condition monitoring solutions across public transport and automotive applications. We are looking for someone who has an appreciation of both simulation-driven and data-driven modelling to understand the behaviour of physical systems. You could be developing machine learning anomaly detection algorithms to identify unusual behaviour of mechanical systems, building predictive maintenance solutions driven by physics-based models, fusing sensor-based telemetry data with contextual information about a system such as maintenance logs, or using parameter estimation techniques to tune models based on a system’s behaviour. You will be motivated and excited by delivering impactful solutions into the hands of end-users, and also curious and passionate about cutting-edge technology.
Principal accountabilities
Identify and develop core analytical components for delivery of products
Plan and lead development of analytical solutions from design through to implementation and testing
Own an area of technical specialism within the team and drive forward best practice and development in that area
Mentor other team members and contribute to the continuous improvement of the team
Act as technical lead on team-specific projects, and as functional lead on cross-functional projects
Drive the improvement of team processes by taking a lead role in team activities such as project estimation, code reviews and retrospectives
Identify the 'right tool for the job' for different tasks, including technical and commercial considerations
Manage interactions with other functions in the company, and provide technical input to proposals/commercial activities
Engage and influence key stakeholders in making recommendations on technical approaches, data or tools
Knowledge, skills, qualifications and experience
BSc/MSc in Mathematics, Physics, Mechanical/Control Engineering, Computer Science, or other numerate discipline.
Demonstrable experience in using physics-based modelling to understand the behaviour of physical systems.
Demonstrable experience in developing models based on time-series data.
Proficiency in at least one of Python or MATLAB, including good software practices (clean code, version control, unit testing).
Desirable:
Experience in writing object-oriented code.
Demonstrable technical expertise in applying data science/machine learning approaches to engineering challenges.
Experience with some of the following:
Distributed processing technologies (e.g. Spark, Dask)
Messaging technologies (Kafka, MQTT)
Cloud deployment of algorithms (e.g. AWS, Docker)
Proficiency in text mining/natural language processing,
Expertise in condition monitoring/predictive maintenance applications.
Values and behaviours
Demonstrates a collaborative approach by sharing information and ideas openly with others.
Demonstrates a strong desire to learn new approaches and ability to learn – act – reflect.
Helps others to learn by sharing knowledge and experience and demonstrating skills as needed.
Passion for innovation and excellence.
Respects different views and opinions and takes time to understand other perspectives. Where differences occur, the ability to tactfully challenge.
Demonstrates personal ownership for delivering their role, their learning and their career, but also will seek out support when required.
Work environment
You will be based in our London offices which are designed to offer the best possible environment to our Software & Analytics teams. There may be occasional travel to the world-famous McLaren technology Centre.
Recruitment process
If your application is successful, you will be invited for a phone interview with one of our experienced technical recruiters.
If our recruiter believes you're suitable for the role, you will then be asked to complete a technical challenge. This will be completed in your own time.
If you are successful, you’ll then be invited for a phone interview with one of the hiring managers which will include technical questions relating to the job role.
The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team.
18/03/2019
Full time
McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport.
Our team
As a part of our Modelling and Decision Sciences function, you will build the modelling components that underpin our data-driven products and solutions from research and design, prototype and validation, through to deployment. You will work as part of cross-disciplinary teams alongside software engineers, systems engineers, and designers. You will also contribute to our core technology platforms for data and model management, as well as pushing forward our capability in our three key areas of Modelling and Decision Science: modelling insight, optimisation and control.
The role
This is an exciting opportunity to join our ConditionInsight portfolio team. In this team we develop condition monitoring solutions across public transport and automotive applications. We are looking for someone who has an appreciation of both simulation-driven and data-driven modelling to understand the behaviour of physical systems. You could be developing machine learning anomaly detection algorithms to identify unusual behaviour of mechanical systems, building predictive maintenance solutions driven by physics-based models, fusing sensor-based telemetry data with contextual information about a system such as maintenance logs, or using parameter estimation techniques to tune models based on a system’s behaviour. You will be motivated and excited by delivering impactful solutions into the hands of end-users, and also curious and passionate about cutting-edge technology.
Principal accountabilities
Identify and develop core analytical components for delivery of products
Plan and lead development of analytical solutions from design through to implementation and testing
Own an area of technical specialism within the team and drive forward best practice and development in that area
Mentor other team members and contribute to the continuous improvement of the team
Act as technical lead on team-specific projects, and as functional lead on cross-functional projects
Drive the improvement of team processes by taking a lead role in team activities such as project estimation, code reviews and retrospectives
Identify the 'right tool for the job' for different tasks, including technical and commercial considerations
Manage interactions with other functions in the company, and provide technical input to proposals/commercial activities
Engage and influence key stakeholders in making recommendations on technical approaches, data or tools
Knowledge, skills, qualifications and experience
BSc/MSc in Mathematics, Physics, Mechanical/Control Engineering, Computer Science, or other numerate discipline.
Demonstrable experience in using physics-based modelling to understand the behaviour of physical systems.
Demonstrable experience in developing models based on time-series data.
Proficiency in at least one of Python or MATLAB, including good software practices (clean code, version control, unit testing).
Desirable:
Experience in writing object-oriented code.
Demonstrable technical expertise in applying data science/machine learning approaches to engineering challenges.
Experience with some of the following:
Distributed processing technologies (e.g. Spark, Dask)
Messaging technologies (Kafka, MQTT)
Cloud deployment of algorithms (e.g. AWS, Docker)
Proficiency in text mining/natural language processing,
Expertise in condition monitoring/predictive maintenance applications.
Values and behaviours
Demonstrates a collaborative approach by sharing information and ideas openly with others.
Demonstrates a strong desire to learn new approaches and ability to learn – act – reflect.
Helps others to learn by sharing knowledge and experience and demonstrating skills as needed.
Passion for innovation and excellence.
Respects different views and opinions and takes time to understand other perspectives. Where differences occur, the ability to tactfully challenge.
Demonstrates personal ownership for delivering their role, their learning and their career, but also will seek out support when required.
Work environment
You will be based in our London offices which are designed to offer the best possible environment to our Software & Analytics teams. There may be occasional travel to the world-famous McLaren technology Centre.
Recruitment process
If your application is successful, you will be invited for a phone interview with one of our experienced technical recruiters.
If our recruiter believes you're suitable for the role, you will then be asked to complete a technical challenge. This will be completed in your own time.
If you are successful, you’ll then be invited for a phone interview with one of the hiring managers which will include technical questions relating to the job role.
The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team.
This AdTech company, in the media arena, can proudly claim to work some of the biggest and most loved brands in the UK and is looking to better utilise its data assets for commercial gain. They have direct access to a broad portfolio of datasets and a culture of fast-paced technology delivery thus are seeking a Data Engineer to help them build and operate large-scale data pipelines that are capable of withstanding their growth ambitions.
Role & Responsibilities
You’ll be working within the Data Team, who currently provide data and analytics to many teams across the organisation.
Assist the team to expand their Big Data analytics and streaming capabilities.
Manage increased throughput and complexity.
Help set the direction for how data pipelines are built and deployed in general.
communicate with a range of technical and non-technical stakeholders around the business
Keen to try new technologies and concepts
Experience & Skills Required
Demonstrable experience as a data or software engineer in a highly scalable environment such as messaging or streaming highly desirable.
Have experience in designing, building and launching highly available, distributed systems of data extraction, transformation and loading of datasets
Confidently monitor data reliability and infrastructure performance
Undertake agile methodologies and continuous delivery alongside large-scale streaming data (Kafka, Kinesis, etc.)
Proficiency of the following advantageous:-
Cloud services (ideally AWS)
Programming languages (Python, etc.)
Big Data systems (Spark, Hadoop, Pig, etc.)
SQL databases (Relational, Snowflake, etc.)
Structured or custom ETL management (Airflow, Luigi, etc.)
If you fit the above job description, please contact Teresa Cheeseman 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.
18/03/2019
Full time
This AdTech company, in the media arena, can proudly claim to work some of the biggest and most loved brands in the UK and is looking to better utilise its data assets for commercial gain. They have direct access to a broad portfolio of datasets and a culture of fast-paced technology delivery thus are seeking a Data Engineer to help them build and operate large-scale data pipelines that are capable of withstanding their growth ambitions.
Role & Responsibilities
You’ll be working within the Data Team, who currently provide data and analytics to many teams across the organisation.
Assist the team to expand their Big Data analytics and streaming capabilities.
Manage increased throughput and complexity.
Help set the direction for how data pipelines are built and deployed in general.
communicate with a range of technical and non-technical stakeholders around the business
Keen to try new technologies and concepts
Experience & Skills Required
Demonstrable experience as a data or software engineer in a highly scalable environment such as messaging or streaming highly desirable.
Have experience in designing, building and launching highly available, distributed systems of data extraction, transformation and loading of datasets
Confidently monitor data reliability and infrastructure performance
Undertake agile methodologies and continuous delivery alongside large-scale streaming data (Kafka, Kinesis, etc.)
Proficiency of the following advantageous:-
Cloud services (ideally AWS)
Programming languages (Python, etc.)
Big Data systems (Spark, Hadoop, Pig, etc.)
SQL databases (Relational, Snowflake, etc.)
Structured or custom ETL management (Airflow, Luigi, etc.)
If you fit the above job description, please contact Teresa Cheeseman 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.
Join us on our exciting journey! IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.
Our Predictive Analytics team within the Real World & Analytics Solutions (RWAS) Technology division is a fast growing group of collaborative, enthusiastic, and entrepreneurial individuals. In our never-ending quest for opportunities to harness the value of Real World Evidence (RWE), we are at the centre of IQVIA’s advances in areas such as machine learning and cutting-edge statistical approaches. Our efforts improve retrospective clinical studies, under-diagnosis of rare diseases, personalized treatment response profiles, disease progression predictions, and clinical decision-support tools.
We are looking for a creative, innovative, intellectually curious and entrepreneurial Senior Data Scientist / Machine Learning expert to join our team.
This is an exciting opportunity to be part of one of the world's leading RWE teams, working to help our clients answer specific questions globally, make more informed decisions and deliver results.
The team
You will join this high profile team to work on ground-breaking problems in health outcomes across disease areas including Ophthalmology, Oncology, Neurology, Chronic diseases such as diabetes, and a variety of very rare conditions. The Predictive Analytics team work hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWE Solutions team, leveraging a vast variety of anonymous patient-level information from sources such as electronic health records. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers.
The role
This is an exciting role for a subject matter expert in Machine Learning who is keen to lead, shape and grow a high profile and highly motivated Data Science team at the cutting-edge of life science. The primary focus of the role is to design and oversee the delivery of machine learning projects, such as developing algorithms to find undiagnosed patients with rare conditions. Most projects have an important research component, so a strong academic background is essential (the role includes opportunity to publish and participate in academic conferences). In addition, there is scope for development in other key areas: Product Development - Working closely with software engineers, system architects and data scientists to build automated and scalable routines / libraries Business Development - Supporting business development initiatives, including technical support for client pitches, proposal writing and thought leadership (includes publications, presentations at academic conferences, client workshops, etc.).
At IQVIA we appreciate and nurture individual talent. Therefore, the exact blend of responsibilities and individual career development will in part depend on the skill set and aspirations of the successful candidate. Our ideal candidate: Experience
PhD and peer-review publications involving machine learning
Extensive experience leading the design and delivery of advanced machine learning projects in the commercial sector end to end with proven delivery capability including capturing requirements, designing analysis plans, interfacing with clients and writing reports / manuscripts.
A proactive, innovative and pragmatic approach to problem solving and an ability to think critically and independently.
Excellent written and spoken communication skills, including ability to present technical concepts to lay audiences, write analysis plans for projects, contribute to proposals / grant applications, pitch ideas effectively and persuasively to clients / internal stakeholders, etc. Flexible and adaptable in a client focused, results-driven environment.
Our ideal candidate: Tech Skills
Excellent knowledge of supervised machine learning methods, such as regularized regressions, ensemble tree classifiers (e.g. xgboost), Support Vector Machines, Neural Networks, etc.
Strong programming skills in Python and/or R. Experience with Spark or Scala is beneficial.
Solid understanding of best coding practices and version control software such as Git, ability to write clean and efficient code and a good understanding of the data science package landscape.
Bonus points for:
Knowledge of epidemiology / biostatistics, particularly analytical issues relating to studies of treatment effectiveness, disease progression, adherence, healthcare utilization, etc.
Knowledge of healthcare / life science issues involving Real-World Evidence (RWE).
Experience with patient-level, longitudinal data.
IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.
We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. Whatever your career goals, we are here to ensure you get there! We invite you to join IQVIA™
18/03/2019
Full time
Join us on our exciting journey! IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.
Our Predictive Analytics team within the Real World & Analytics Solutions (RWAS) Technology division is a fast growing group of collaborative, enthusiastic, and entrepreneurial individuals. In our never-ending quest for opportunities to harness the value of Real World Evidence (RWE), we are at the centre of IQVIA’s advances in areas such as machine learning and cutting-edge statistical approaches. Our efforts improve retrospective clinical studies, under-diagnosis of rare diseases, personalized treatment response profiles, disease progression predictions, and clinical decision-support tools.
We are looking for a creative, innovative, intellectually curious and entrepreneurial Senior Data Scientist / Machine Learning expert to join our team.
This is an exciting opportunity to be part of one of the world's leading RWE teams, working to help our clients answer specific questions globally, make more informed decisions and deliver results.
The team
You will join this high profile team to work on ground-breaking problems in health outcomes across disease areas including Ophthalmology, Oncology, Neurology, Chronic diseases such as diabetes, and a variety of very rare conditions. The Predictive Analytics team work hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWE Solutions team, leveraging a vast variety of anonymous patient-level information from sources such as electronic health records. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers.
The role
This is an exciting role for a subject matter expert in Machine Learning who is keen to lead, shape and grow a high profile and highly motivated Data Science team at the cutting-edge of life science. The primary focus of the role is to design and oversee the delivery of machine learning projects, such as developing algorithms to find undiagnosed patients with rare conditions. Most projects have an important research component, so a strong academic background is essential (the role includes opportunity to publish and participate in academic conferences). In addition, there is scope for development in other key areas: Product Development - Working closely with software engineers, system architects and data scientists to build automated and scalable routines / libraries Business Development - Supporting business development initiatives, including technical support for client pitches, proposal writing and thought leadership (includes publications, presentations at academic conferences, client workshops, etc.).
At IQVIA we appreciate and nurture individual talent. Therefore, the exact blend of responsibilities and individual career development will in part depend on the skill set and aspirations of the successful candidate. Our ideal candidate: Experience
PhD and peer-review publications involving machine learning
Extensive experience leading the design and delivery of advanced machine learning projects in the commercial sector end to end with proven delivery capability including capturing requirements, designing analysis plans, interfacing with clients and writing reports / manuscripts.
A proactive, innovative and pragmatic approach to problem solving and an ability to think critically and independently.
Excellent written and spoken communication skills, including ability to present technical concepts to lay audiences, write analysis plans for projects, contribute to proposals / grant applications, pitch ideas effectively and persuasively to clients / internal stakeholders, etc. Flexible and adaptable in a client focused, results-driven environment.
Our ideal candidate: Tech Skills
Excellent knowledge of supervised machine learning methods, such as regularized regressions, ensemble tree classifiers (e.g. xgboost), Support Vector Machines, Neural Networks, etc.
Strong programming skills in Python and/or R. Experience with Spark or Scala is beneficial.
Solid understanding of best coding practices and version control software such as Git, ability to write clean and efficient code and a good understanding of the data science package landscape.
Bonus points for:
Knowledge of epidemiology / biostatistics, particularly analytical issues relating to studies of treatment effectiveness, disease progression, adherence, healthcare utilization, etc.
Knowledge of healthcare / life science issues involving Real-World Evidence (RWE).
Experience with patient-level, longitudinal data.
IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.
We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. Whatever your career goals, we are here to ensure you get there! We invite you to join IQVIA™
Major Banking organisation urgently seeks two experienced data analysts / business analysts with extensive AML and Transaction Monitoring experience for major financial companies. Roles are based in London & Glasgow.
Successful candidates should fit the below profile as closely as possible.
Essential Skills/Basic Qualifications :
Proven working experience in the financial Sector with a strong speciality in AML Transaction Monitoring with knowledge of specific TM solutions
Proven business and data analysis skills, with a history of producing high quality deliverables for an end to end lifecycle & complex AML TM projects
Problem Analysis - ability to breakdown and logically display the problem and the conceptual problem in a precise manner with attention to detail
Experience of working within a global environment
Experience of refining processes to best practice, including within an agile environment.
Experience of process documentation and proven ability to work effectively either independently and as a team member
Desirable skills/Preferred Qualifications
Experience of AML/TM within a Financial Services environment, with knowledge of specific TM solutions,
Knowledge of Transaction Monitoring transaction types, data models and customer types/Client segmentation
AML TM Optimisation Expert (Tuning)
Polished written and verbal English communication skills with strong presentation skills and the ability to liaise across Financial Crime and IT focused stakeholders, up to Director Level.
Experience of balancing multiple activities and initiatives, whilst successfully achieving targets and milestones
Knowledge of Actimize product- Familiar with the structure of Actimize DB and Actimize RCM
Relevant technical business analysis, and/or domain qualifications, e.g. ICA Advanced Certificate/Diploma in Anti Money Laundering.
ALL experienced Analysts (Data & Business) with strong AML and Transaction Monitoring should apply now.
13/03/2019
Full time
Major Banking organisation urgently seeks two experienced data analysts / business analysts with extensive AML and Transaction Monitoring experience for major financial companies. Roles are based in London & Glasgow.
Successful candidates should fit the below profile as closely as possible.
Essential Skills/Basic Qualifications :
Proven working experience in the financial Sector with a strong speciality in AML Transaction Monitoring with knowledge of specific TM solutions
Proven business and data analysis skills, with a history of producing high quality deliverables for an end to end lifecycle & complex AML TM projects
Problem Analysis - ability to breakdown and logically display the problem and the conceptual problem in a precise manner with attention to detail
Experience of working within a global environment
Experience of refining processes to best practice, including within an agile environment.
Experience of process documentation and proven ability to work effectively either independently and as a team member
Desirable skills/Preferred Qualifications
Experience of AML/TM within a Financial Services environment, with knowledge of specific TM solutions,
Knowledge of Transaction Monitoring transaction types, data models and customer types/Client segmentation
AML TM Optimisation Expert (Tuning)
Polished written and verbal English communication skills with strong presentation skills and the ability to liaise across Financial Crime and IT focused stakeholders, up to Director Level.
Experience of balancing multiple activities and initiatives, whilst successfully achieving targets and milestones
Knowledge of Actimize product- Familiar with the structure of Actimize DB and Actimize RCM
Relevant technical business analysis, and/or domain qualifications, e.g. ICA Advanced Certificate/Diploma in Anti Money Laundering.
ALL experienced Analysts (Data & Business) with strong AML and Transaction Monitoring should apply now.
Major banking organisation seeks a number of highly technical Data Scientists with very strong hadoop, Hive and scripting/coding in Python as well as solid AWS Cloud experience.
You will be joining the Mobile / Digital team of this leading bank working on next generation Mobile banking solutions. Any prevous experience in Digital or MObile banking teams would be very welcome but is not essential.
The roles can be based in either London or Edinburgh.
You MUST be an experienced Data Science profesional with very strong Hadoop , NoSql, Hive skills. You should have good Python coding skills and will previously have worked in Cloud areas specficially with good AWS experience.
ALL strog Data Scientists with Python and AWS and ideally a banking or finance background should apply now.
13/03/2019
Full time
Major banking organisation seeks a number of highly technical Data Scientists with very strong hadoop, Hive and scripting/coding in Python as well as solid AWS Cloud experience.
You will be joining the Mobile / Digital team of this leading bank working on next generation Mobile banking solutions. Any prevous experience in Digital or MObile banking teams would be very welcome but is not essential.
The roles can be based in either London or Edinburgh.
You MUST be an experienced Data Science profesional with very strong Hadoop , NoSql, Hive skills. You should have good Python coding skills and will previously have worked in Cloud areas specficially with good AWS experience.
ALL strog Data Scientists with Python and AWS and ideally a banking or finance background should apply now.
This innovative tech/software company, with a lead position in its market, is looking for a strong SQL / BI Commercial Analyst to join them on a rolling 3-month contract (likely to last c 9 months) for a maternity cover to directly influence product, marketing and strategy by drawing insights from analysis and providing a fact base for decision making. You will need to have a commercial mind-set, know the value in what you provide and be confident in presenting the outcome of your work so the right decisions can be made.
Role & Responsibilities
You will own the performance narrative for the team
Develop insight from a range of internal and external sources and use it to drive decision making.
Responsible for explaining and communicating on how performance is progressing what has been learned from recent tests and recommending what we do next.
Learn and find tailor made answers to ad hoc questions using different tools.
Directly influence product, marketing and strategy by drawing insights from analysis
Work with the product marketing teams to formulate hypotheses and design and measure experiments.
Develop insights and make recommendations for iteration.
Experience & Skills Required
Educated to degree or a post grad qualification in maths or science very desirable.
Be very adept in finding the balance between managing data complexity/imperfection and move quickly to get things done.
Have several years’ commercial experience in the tech/web sectors and have a number of successes and failures you’ve learned from
Be a highly quantitative and capable analyst.
Build and own BI reports for your own use and to keep the team informed.
Confidently write SQL queries to build your own datasets for analysis.
Build a collaborative relationship with our database / analytics teams.
Understand hypothesis testing, AB testing and statistical significance concepts.
Effectively communicate to all levels.
Manage with limited supervision and rigorously prioritise your work load.
If you fit the above job description, please contact Teresa Cheeseman 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.
12/03/2019
Part-time
This innovative tech/software company, with a lead position in its market, is looking for a strong SQL / BI Commercial Analyst to join them on a rolling 3-month contract (likely to last c 9 months) for a maternity cover to directly influence product, marketing and strategy by drawing insights from analysis and providing a fact base for decision making. You will need to have a commercial mind-set, know the value in what you provide and be confident in presenting the outcome of your work so the right decisions can be made.
Role & Responsibilities
You will own the performance narrative for the team
Develop insight from a range of internal and external sources and use it to drive decision making.
Responsible for explaining and communicating on how performance is progressing what has been learned from recent tests and recommending what we do next.
Learn and find tailor made answers to ad hoc questions using different tools.
Directly influence product, marketing and strategy by drawing insights from analysis
Work with the product marketing teams to formulate hypotheses and design and measure experiments.
Develop insights and make recommendations for iteration.
Experience & Skills Required
Educated to degree or a post grad qualification in maths or science very desirable.
Be very adept in finding the balance between managing data complexity/imperfection and move quickly to get things done.
Have several years’ commercial experience in the tech/web sectors and have a number of successes and failures you’ve learned from
Be a highly quantitative and capable analyst.
Build and own BI reports for your own use and to keep the team informed.
Confidently write SQL queries to build your own datasets for analysis.
Build a collaborative relationship with our database / analytics teams.
Understand hypothesis testing, AB testing and statistical significance concepts.
Effectively communicate to all levels.
Manage with limited supervision and rigorously prioritise your work load.
If you fit the above job description, please contact Teresa Cheeseman 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.
This legal organisation is expanding rapidly having had significant investment in personnel, technology and processes in the last two years. They have aspirations to grow significantly and is entering a sustained period of expansion. The role represents the opportunity to join a business at its expansion point and work to be a key member of the management team with this success.
Role & Responsibilities
Provide and maintain regular reporting to senior staff and department heads
Liaise with CRM partner in the project management of new developments
Manage the relationship with the CRM partner
Interpret and analyse data on all marketing and related activity.
Cleanse and format all inbound leads and other data to
Assess the performance of customer contacts when performed by a third party
Ensure the integrity of the database at-large including all records held
Ensure all users are aware of correct practice regarding CRM.
Monitor and assess impact of marketing techniques in order to improve performance.
Ensure all marketing activities are in full compliance with relevant regulations
Experience & Skills Required
Strong numerate skills demonstrated by supportive academics
Strong experience with Microsoft Excel in the role of reporting and data analytics
Previous experience with generating analytics from large CRMs
Exceptional attention to detail alongside confident communication skills, able to communicate at all levels.
Methodical problem solving skills
Be driven, pro-active and able to meet tight deadlines.
Maintain and manage a regular chasing cycle of all outstanding leads
Confidently identify/establish new sources of data to aid performance reporting.
If you fit the above job description, please contact Teresa Cheeseman 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.
08/03/2019
Full time
This legal organisation is expanding rapidly having had significant investment in personnel, technology and processes in the last two years. They have aspirations to grow significantly and is entering a sustained period of expansion. The role represents the opportunity to join a business at its expansion point and work to be a key member of the management team with this success.
Role & Responsibilities
Provide and maintain regular reporting to senior staff and department heads
Liaise with CRM partner in the project management of new developments
Manage the relationship with the CRM partner
Interpret and analyse data on all marketing and related activity.
Cleanse and format all inbound leads and other data to
Assess the performance of customer contacts when performed by a third party
Ensure the integrity of the database at-large including all records held
Ensure all users are aware of correct practice regarding CRM.
Monitor and assess impact of marketing techniques in order to improve performance.
Ensure all marketing activities are in full compliance with relevant regulations
Experience & Skills Required
Strong numerate skills demonstrated by supportive academics
Strong experience with Microsoft Excel in the role of reporting and data analytics
Previous experience with generating analytics from large CRMs
Exceptional attention to detail alongside confident communication skills, able to communicate at all levels.
Methodical problem solving skills
Be driven, pro-active and able to meet tight deadlines.
Maintain and manage a regular chasing cycle of all outstanding leads
Confidently identify/establish new sources of data to aid performance reporting.
If you fit the above job description, please contact Teresa Cheeseman 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.
McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport.
Our team
As a part of Modelling and Decision Sciences, you will develop technologies to enhance McLaren's analytics capability and deliver solutions to complex industrial problems. You will support projects and concepts across our key Business Units including Health, Public Transport, Automotive, Motorsport and our Strategic Partnerships.
Our Decision Science team form the front line to understand client needs and convert them into technical solutions. Working closely with the clients, partners, and internal business units, to build the definition of the problem, as well as with technical teams to deliver complex solutions. Combining relevant market and commercial expertise with hands on data science/modelling/simulation skills alongside a comprehensive view of solutions architecture. In a unique position to drive innovation in line with the strategic goals of MAT/MDSci, by bridging the gap between the various technical teams and business / market facing units.
The role
We are looking for the right individual to help enhance our already ‘world class’ team of data scientists and Simulation engineers.
Requirements
Previous Experience Leading a high performance, multidiscipline team.
BSc in mathematics, computer science, statistics, operations research, or other relevant numerate discipline
MSc or PhD in operational research
Experience in solving complex process modelling problems using tools such as MATLAB, AnyLogic, R or Python
Skills and experience
Experience in combining modelling and data-driven techniques
Experience of developing models to solve problems in the healthcare or transport industries
Personal attributes
A problem solver, using innovative cutting-edge techniques who is passionate about technology
We are looking for someone who actively researches emerging industry trends and open-source technologies, and communicates them to the team
A keen interest in a specific area of systems modelling (e.g. discrete-event simulation) would be beneficial
The work environment
You will be based at our unique offices in the South Bank area of London. The building boasts spacious offices and meeting rooms, a gaming lounge and stunning views of London. It also hosts weekly events, classes, workshops and happy hours, encouraging the best and brightest to network and discuss the next big idea to hit the tech industry over a drink or two. Some travel to the McLaren Technology Centre (Woking, Surrey) will be required.
McLaren’s Product Innovation Framework
Take the unique opportunity to bring your own ideas to life, whether it’s a software package or a tangible product. If the application for your idea is successful, it will be backed by a significant pledge from the business to fund time and materials costs. Our ambition is that we continue to foster the spirit of innovation and entrepreneurship within Applied Technologies.
Recruitment process
If your application is successful, you will be invited for a phone interview with one of our experienced technical recruiters.
If our recruiter believes you're suitable for the role, you will then be asked to complete a technical challenge and a video interview. This will be completed in your own time. The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team.
06/03/2019
Full time
McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport.
Our team
As a part of Modelling and Decision Sciences, you will develop technologies to enhance McLaren's analytics capability and deliver solutions to complex industrial problems. You will support projects and concepts across our key Business Units including Health, Public Transport, Automotive, Motorsport and our Strategic Partnerships.
Our Decision Science team form the front line to understand client needs and convert them into technical solutions. Working closely with the clients, partners, and internal business units, to build the definition of the problem, as well as with technical teams to deliver complex solutions. Combining relevant market and commercial expertise with hands on data science/modelling/simulation skills alongside a comprehensive view of solutions architecture. In a unique position to drive innovation in line with the strategic goals of MAT/MDSci, by bridging the gap between the various technical teams and business / market facing units.
The role
We are looking for the right individual to help enhance our already ‘world class’ team of data scientists and Simulation engineers.
Requirements
Previous Experience Leading a high performance, multidiscipline team.
BSc in mathematics, computer science, statistics, operations research, or other relevant numerate discipline
MSc or PhD in operational research
Experience in solving complex process modelling problems using tools such as MATLAB, AnyLogic, R or Python
Skills and experience
Experience in combining modelling and data-driven techniques
Experience of developing models to solve problems in the healthcare or transport industries
Personal attributes
A problem solver, using innovative cutting-edge techniques who is passionate about technology
We are looking for someone who actively researches emerging industry trends and open-source technologies, and communicates them to the team
A keen interest in a specific area of systems modelling (e.g. discrete-event simulation) would be beneficial
The work environment
You will be based at our unique offices in the South Bank area of London. The building boasts spacious offices and meeting rooms, a gaming lounge and stunning views of London. It also hosts weekly events, classes, workshops and happy hours, encouraging the best and brightest to network and discuss the next big idea to hit the tech industry over a drink or two. Some travel to the McLaren Technology Centre (Woking, Surrey) will be required.
McLaren’s Product Innovation Framework
Take the unique opportunity to bring your own ideas to life, whether it’s a software package or a tangible product. If the application for your idea is successful, it will be backed by a significant pledge from the business to fund time and materials costs. Our ambition is that we continue to foster the spirit of innovation and entrepreneurship within Applied Technologies.
Recruitment process
If your application is successful, you will be invited for a phone interview with one of our experienced technical recruiters.
If our recruiter believes you're suitable for the role, you will then be asked to complete a technical challenge and a video interview. This will be completed in your own time. The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team.
G-Research is a leading quantitative research and technology company. By using the latest scientific techniques, we produce world-beating predictive research and build advanced technology to analyse the world’s data.
We use the latest scientific techniques and advanced data analysis methods to discover the undiscovered. Our researchers are free to explore ideas, finding patterns in large, noisy and real-world data sets to predict the movements in global financial markets.
The Role
We are working on the fringes of the possible, trying to beat the efficient market hypothesis with the full “big data” tool set. We also build on the latest academic research into optimisation methods to find innovative solutions to the complexities that Markowitz ignored.
This is a pure research role where you will have the freedom to develop and test your ideas with real-world data in an environment that resembles academia: you are only limited by your imagination!
Who are we looking for?
The ideal candidate will at minimum have experience in the following areas:
You will have an interest in applying mathematical concepts to real world financial problems
An interest in implementing theoretical insights as working code
You will have, or be working towards gaining, a Masters or PhD degree in a highly quantitative subject (mathematics, statistics, computer science, physics or engineering)
Previous financial experience is not required, although interest in finance and the motivation to rapidly learn more is a prerequisite for working here
Why should you apply?
Highly competitive compensation plus annual discretionary bonus
Informal dress code and excellent work/life balance
Comprehensive healthcare and life assurance
25 days holiday
Contributory pension scheme
Central London office close to 5 stations and 6 tube lines
04/03/2019
Full time
G-Research is a leading quantitative research and technology company. By using the latest scientific techniques, we produce world-beating predictive research and build advanced technology to analyse the world’s data.
We use the latest scientific techniques and advanced data analysis methods to discover the undiscovered. Our researchers are free to explore ideas, finding patterns in large, noisy and real-world data sets to predict the movements in global financial markets.
The Role
We are working on the fringes of the possible, trying to beat the efficient market hypothesis with the full “big data” tool set. We also build on the latest academic research into optimisation methods to find innovative solutions to the complexities that Markowitz ignored.
This is a pure research role where you will have the freedom to develop and test your ideas with real-world data in an environment that resembles academia: you are only limited by your imagination!
Who are we looking for?
The ideal candidate will at minimum have experience in the following areas:
You will have an interest in applying mathematical concepts to real world financial problems
An interest in implementing theoretical insights as working code
You will have, or be working towards gaining, a Masters or PhD degree in a highly quantitative subject (mathematics, statistics, computer science, physics or engineering)
Previous financial experience is not required, although interest in finance and the motivation to rapidly learn more is a prerequisite for working here
Why should you apply?
Highly competitive compensation plus annual discretionary bonus
Informal dress code and excellent work/life balance
Comprehensive healthcare and life assurance
25 days holiday
Contributory pension scheme
Central London office close to 5 stations and 6 tube lines
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
04/03/2019
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
This is a worldwide recognised and highly successful ecommerce brand whose aim is to reach their customers and partners around the globe to deliver amazing experiences on a both local and global scale. You will solve high-impact, complex problems using some of the latest technology and approaches. The Group recognises their success is dependent on the success of their people, made up of the most knowledgeable, passionate, and creative people in the business. Your passion and success will be rewarded including a great career path alongside amazing benefits.
Role & Responsibilities
Build, deploy and optimise Machine Learning models which support improved acquisition and profitability of customers
Predict customer long term value to optimise spend allocation
Optimise bidding strategy
Mentor and provide technical support to more junior members of the team
Predict customers’ intent and preferences
Ensure that key projects that are carried out in the team are delivered in a timely fashion
Work in close partnership with other teams to identify new opportunities to leverage Data Science
Develop a deep understanding of the data infrastructure and champion infrastructure development needs
Be a technical leader on use, adoption and implementation of machine learning.
Experience & Skills Required
Educated to MSc or PhD degree level in any of the following fields: machine learning or computer science, statistics, mathematics with strong machine learning component;
Hands on experience in machine learning, building datasets, selecting and engineering features, building and optimizing algorithms.
Experience in several of the following domains: Real-time bidding, Learn-to-Rank, Recommender Systems, NLP, Computer Vision, Deep Learning, Regression, Classification and/or Clustering
Experience in the online marketing or Ecommerce retail space preferable
Advanced knowledge of at least one of the following programming languages: Python or Scala
Good experience with statistics/machine learning packages such as Spark MLlib, Python, Keras, TensorFlow, PyTorch etc.
Good SQL/data manipulation skills are required.
Intellectually curious and show the desire to learn new things, techniques and technologies.
If you fit the above job description, please contact Teresa Cheeseman 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.
26/02/2019
Full time
This is a worldwide recognised and highly successful ecommerce brand whose aim is to reach their customers and partners around the globe to deliver amazing experiences on a both local and global scale. You will solve high-impact, complex problems using some of the latest technology and approaches. The Group recognises their success is dependent on the success of their people, made up of the most knowledgeable, passionate, and creative people in the business. Your passion and success will be rewarded including a great career path alongside amazing benefits.
Role & Responsibilities
Build, deploy and optimise Machine Learning models which support improved acquisition and profitability of customers
Predict customer long term value to optimise spend allocation
Optimise bidding strategy
Mentor and provide technical support to more junior members of the team
Predict customers’ intent and preferences
Ensure that key projects that are carried out in the team are delivered in a timely fashion
Work in close partnership with other teams to identify new opportunities to leverage Data Science
Develop a deep understanding of the data infrastructure and champion infrastructure development needs
Be a technical leader on use, adoption and implementation of machine learning.
Experience & Skills Required
Educated to MSc or PhD degree level in any of the following fields: machine learning or computer science, statistics, mathematics with strong machine learning component;
Hands on experience in machine learning, building datasets, selecting and engineering features, building and optimizing algorithms.
Experience in several of the following domains: Real-time bidding, Learn-to-Rank, Recommender Systems, NLP, Computer Vision, Deep Learning, Regression, Classification and/or Clustering
Experience in the online marketing or Ecommerce retail space preferable
Advanced knowledge of at least one of the following programming languages: Python or Scala
Good experience with statistics/machine learning packages such as Spark MLlib, Python, Keras, TensorFlow, PyTorch etc.
Good SQL/data manipulation skills are required.
Intellectually curious and show the desire to learn new things, techniques and technologies.
If you fit the above job description, please contact Teresa Cheeseman 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.
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.
26/02/2019
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.
McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport.
Our team
As a part of our Modelling and Decision Sciences function, you will develop technologies to enhance McLaren's analytics capability and deliver solutions to complex industrial problems. You will support projects and concepts across our key Business Units including Health, Public Transport, Automotive, Motorsport and our Strategic Partnerships.
The Modelling and Decision Sciences has three core capabilities:
Modelling – to understand the behaviour of complex systems through dynamics or data driven modelling;
Optimization – to make recommendations about a system and its operation;
Control - enacting recommendations through either closed-loop control or human-in-the-loop decision making.
The role
We are looking for an experienced data scientist to lead our capability in statistical machine learning. Your technical expertise will help us design, develop, test, deploy and present analytical solutions to complex industrial problems. Specifically, you will tackle problems in which:
Modelling and quantification of uncertainty is important;
Machine learning is used to complement more traditional system modelling approaches (e.g. simulation)
You will also be collaborating with our software engineers to productise our solutions, and identifying opportunities to harvest capability into our core platforms. You will lead on improving quality and processes through team activities such as project estimation, code reviews and retrospectives.
Requirements
MSc in mathematics, computer science, statistics, operations research, or other relevant numerate discipline
Experience in solving complex problems using statistical machine learning techniques, such as Gaussian processes, Bayesian inference, or graphical models.
Experience developing algorithms and productionising solutions
Experience in developing and testing algorithms in Python or R.
Desirable
PhD in mathematics, computer science, statistics, operations research, or other relevant numerate discipline.
Experience with probabilistic programming packages.
Experience with scaling statistical machine learning approaches.
Experience in applying machine learning to healthcare applications.
Personal attributes
A problem solver, using innovative cutting-edge techniques who is passionate about technology
Someone who actively researches emerging industry trends and open-source technologies, and communicates them to the team.
An active mentor to junior members of the team.
The work environment
You will be based at our unique offices in the South Bank area of London. The building boasts spacious offices and meeting rooms, a gaming lounge and stunning views of London. It also hosts weekly events, classes, workshops and happy hours, encouraging the best and brightest to network and discuss the next big idea to hit the tech industry. Some travel to the McLaren Technology Centre (Woking, Surrey) will be required.
McLaren’s Product Innovation Framework
Take the unique opportunity to bring your own ideas to life, whether it’s a software package or a tangible product. If the application for your idea is successful, it will be backed by a significant pledge from the business to fund time and materials costs. Our ambition is that we continue to foster the spirit of innovation and entrepreneurship within Applied Technologies.
Recruitment process
If your application is successful, you will be invited for a phone interview with one of our experienced technical recruiters.
If our recruiter believes you're suitable for the role, you will then be asked to complete a technical challenge. This will be completed in your own time.
If you are successful, you’ll then be invited for a phone interview with one of the hiring managers which will include technical questions relating to the job role.
The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team.
25/02/2019
Full time
McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport.
Our team
As a part of our Modelling and Decision Sciences function, you will develop technologies to enhance McLaren's analytics capability and deliver solutions to complex industrial problems. You will support projects and concepts across our key Business Units including Health, Public Transport, Automotive, Motorsport and our Strategic Partnerships.
The Modelling and Decision Sciences has three core capabilities:
Modelling – to understand the behaviour of complex systems through dynamics or data driven modelling;
Optimization – to make recommendations about a system and its operation;
Control - enacting recommendations through either closed-loop control or human-in-the-loop decision making.
The role
We are looking for an experienced data scientist to lead our capability in statistical machine learning. Your technical expertise will help us design, develop, test, deploy and present analytical solutions to complex industrial problems. Specifically, you will tackle problems in which:
Modelling and quantification of uncertainty is important;
Machine learning is used to complement more traditional system modelling approaches (e.g. simulation)
You will also be collaborating with our software engineers to productise our solutions, and identifying opportunities to harvest capability into our core platforms. You will lead on improving quality and processes through team activities such as project estimation, code reviews and retrospectives.
Requirements
MSc in mathematics, computer science, statistics, operations research, or other relevant numerate discipline
Experience in solving complex problems using statistical machine learning techniques, such as Gaussian processes, Bayesian inference, or graphical models.
Experience developing algorithms and productionising solutions
Experience in developing and testing algorithms in Python or R.
Desirable
PhD in mathematics, computer science, statistics, operations research, or other relevant numerate discipline.
Experience with probabilistic programming packages.
Experience with scaling statistical machine learning approaches.
Experience in applying machine learning to healthcare applications.
Personal attributes
A problem solver, using innovative cutting-edge techniques who is passionate about technology
Someone who actively researches emerging industry trends and open-source technologies, and communicates them to the team.
An active mentor to junior members of the team.
The work environment
You will be based at our unique offices in the South Bank area of London. The building boasts spacious offices and meeting rooms, a gaming lounge and stunning views of London. It also hosts weekly events, classes, workshops and happy hours, encouraging the best and brightest to network and discuss the next big idea to hit the tech industry. Some travel to the McLaren Technology Centre (Woking, Surrey) will be required.
McLaren’s Product Innovation Framework
Take the unique opportunity to bring your own ideas to life, whether it’s a software package or a tangible product. If the application for your idea is successful, it will be backed by a significant pledge from the business to fund time and materials costs. Our ambition is that we continue to foster the spirit of innovation and entrepreneurship within Applied Technologies.
Recruitment process
If your application is successful, you will be invited for a phone interview with one of our experienced technical recruiters.
If our recruiter believes you're suitable for the role, you will then be asked to complete a technical challenge. This will be completed in your own time.
If you are successful, you’ll then be invited for a phone interview with one of the hiring managers which will include technical questions relating to the job role.
The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team.
We currently have a requirement for a Business Analyst to work on a permanent basis for a large financial services sector client.
Please see below for the skills we are looking for:
Essential:
6-10 years’ experience working as a BA or similar analytical / consultant role.
3-5 years experience of working in similar financials services business/bank.
Experience of leading Business Analysis on large complex IT and Regulatory projects.
Experience of supporting, mentoring other BAs on the team or projects/initiatives.
Proven track record in driving and delivering business benefit changes.
Experience of working in both waterfall and Agile delivery methodologies .
Experience of Business and/or technical architecture principles.
Experience of working alongside a Product Team as a BA and Just In Time analysis .
Experience and/or knowledge of the function of Product Teams within a business.
Knowledge and understanding of DevOps .
Analytical experience in extracting and interpreting data into statistical information, and presenting to business users.
Microsoft Excel – using it to manipulate, analyse and present data.
Visio – able to produce various types of flows and diagrams to a high standard.
PowerPoint – able to produce presentations to a high standard
Able to demonstrate experience of working with autonomy within strict deadlines.
Desirable:
Working for a bank with a credit or debit card programme .
Working within a customer centric business .
Awareness of Banking and card issuing , preferably with some general knowledge of the various elements and suppliers
Working knowledge/experience of TFS/VSTS; .NET; SQL;BPM tools , Cloud hosting platforms
If you are interested in hearing more about this opportunity, please feel free to reply to this advert directly. Alternatively, if you know of someone who may be looking for this type of role, please feel free to pass on my details.
Contact: Dan Homes
25/02/2019
Full time
We currently have a requirement for a Business Analyst to work on a permanent basis for a large financial services sector client.
Please see below for the skills we are looking for:
Essential:
6-10 years’ experience working as a BA or similar analytical / consultant role.
3-5 years experience of working in similar financials services business/bank.
Experience of leading Business Analysis on large complex IT and Regulatory projects.
Experience of supporting, mentoring other BAs on the team or projects/initiatives.
Proven track record in driving and delivering business benefit changes.
Experience of working in both waterfall and Agile delivery methodologies .
Experience of Business and/or technical architecture principles.
Experience of working alongside a Product Team as a BA and Just In Time analysis .
Experience and/or knowledge of the function of Product Teams within a business.
Knowledge and understanding of DevOps .
Analytical experience in extracting and interpreting data into statistical information, and presenting to business users.
Microsoft Excel – using it to manipulate, analyse and present data.
Visio – able to produce various types of flows and diagrams to a high standard.
PowerPoint – able to produce presentations to a high standard
Able to demonstrate experience of working with autonomy within strict deadlines.
Desirable:
Working for a bank with a credit or debit card programme .
Working within a customer centric business .
Awareness of Banking and card issuing , preferably with some general knowledge of the various elements and suppliers
Working knowledge/experience of TFS/VSTS; .NET; SQL;BPM tools , Cloud hosting platforms
If you are interested in hearing more about this opportunity, please feel free to reply to this advert directly. Alternatively, if you know of someone who may be looking for this type of role, please feel free to pass on my details.
Contact: Dan Homes
