Are you passionate about using Data Science techniques to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused and data-rich world of online travel?
Our Data Science team is growing! We are looking for a Principal Data Scientist to use Machine Learning to help optimize hundreds of millions of dollars of Marketing spend and to help increase customer long-term value through relevant and engaging communications. This exciting opportunity would allow you to solve high-impact, complex problems using some of the latest technology and approaches.
In addition, you will mentor and provide technical support to more junior members of the team and help ensure the timely delivery of key projects.
If you are an advocate for using Data Science to understand customer point of view and are seeking a high-profile role in which you’ll be able to influence our senior leadership team’s strategic decision-making, this could be the role for you!
What you'll do:
Build, deploy and optimise machine learning models which support improved acquisition and profitability of customers. This will entail working on a broad range of projects, including:
Optimizing our bidding strategies within Acquisition channels (accounting for seasonal trends, spend constraints, auction dynamics…)
Predicting customers long-term value to optimise spend allocation, re-targeting strategies…
Predicting customers intent and preferences to tailor landing pages, online advertising, Email/Push communications…
Mentor and provide technical support to more junior members of the team
Work in close partnership with Global Marketing, Product, Data and Technology teams to identify new opportunities to leverage Data Science and ensure that key projects that are carried out in the team are delivered in a timely fashion.
Develop a deep understanding of our data infrastructure and champion infrastructure development needs which will help the whole team work more effectively.
Be a technical leader on use, adoption and implementation of machine learning.
Who you are
MSc or PhD degree 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, Clustering
Advanced knowledge of at least one of the following programming languages: Python, Scala;
Experience with statistics/machine learning packages such as Spark MLlib, Python (scikit-learn, pandas, numpy, scipy, Matplotlib), Keras, TensorFlow, PyTorch etc.
Good SQL/data manipulation skills required including cleaning and managing data;
Good programming practices, ability to write readable, fast code.
Intellectual curiosity and desire to learn new things, techniques and technologies
Nice to have:
Knowledge of test design, implementation and evaluation, with website A/B testing experience a plus;
Real world experience with Internet scale data on Spark, Hadoop or similar platform highly preferred;
Experience with data visualisation tools and packages
Join us to disrupt and have a look at what could be your career at Expedia
Why join us:
Expedia Group recognizes our success is dependent on the success of our people. We are the world's travel platform, made up of the most knowledgeable, passionate, and creative people in our business. Our brands recognize the power of travel to break down barriers and make people's lives better – that responsibility inspires us to be the place where exceptional people want to do their best work, and to provide them the tools to do so.
Whether you're applying to work in engineering or customer support, marketing or lodging supply, at Expedia Group we act as one team, working towards a common goal; to bring the world within reach. We relentlessly strive for better, but not at the cost of the customer. We act with humility and optimism, respecting ideas big and small. We value diversity and voices of all volumes. We are a global organization but keep our feet on the ground so we can act fast and stay simple. Our teams also have the chance to give back on a local level and make a difference through our corporate social responsibility program, Expedia Cares.
If you have a hunger to make a difference with one of the most loved consumer brands in the world and to work in the dynamic travel industry, this is the job for you.
Our family of travel brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Egencia®, trivago®, HomeAway®, Orbitz®, Travelocity®, Wotif®, lastminute.com.au®, ebookers®, CheapTickets®, Hotwire®, Classic Vacations®, Expedia® Media Solutions, CarRentals.com™, Expedia Local Expert®, Expedia® CruiseShipCenters®, SilverRail Technologies, Inc., ALICE and Traveldoo®.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
10/05/2019
Full time
Are you passionate about using Data Science techniques to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused and data-rich world of online travel?
Our Data Science team is growing! We are looking for a Principal Data Scientist to use Machine Learning to help optimize hundreds of millions of dollars of Marketing spend and to help increase customer long-term value through relevant and engaging communications. This exciting opportunity would allow you to solve high-impact, complex problems using some of the latest technology and approaches.
In addition, you will mentor and provide technical support to more junior members of the team and help ensure the timely delivery of key projects.
If you are an advocate for using Data Science to understand customer point of view and are seeking a high-profile role in which you’ll be able to influence our senior leadership team’s strategic decision-making, this could be the role for you!
What you'll do:
Build, deploy and optimise machine learning models which support improved acquisition and profitability of customers. This will entail working on a broad range of projects, including:
Optimizing our bidding strategies within Acquisition channels (accounting for seasonal trends, spend constraints, auction dynamics…)
Predicting customers long-term value to optimise spend allocation, re-targeting strategies…
Predicting customers intent and preferences to tailor landing pages, online advertising, Email/Push communications…
Mentor and provide technical support to more junior members of the team
Work in close partnership with Global Marketing, Product, Data and Technology teams to identify new opportunities to leverage Data Science and ensure that key projects that are carried out in the team are delivered in a timely fashion.
Develop a deep understanding of our data infrastructure and champion infrastructure development needs which will help the whole team work more effectively.
Be a technical leader on use, adoption and implementation of machine learning.
Who you are
MSc or PhD degree 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, Clustering
Advanced knowledge of at least one of the following programming languages: Python, Scala;
Experience with statistics/machine learning packages such as Spark MLlib, Python (scikit-learn, pandas, numpy, scipy, Matplotlib), Keras, TensorFlow, PyTorch etc.
Good SQL/data manipulation skills required including cleaning and managing data;
Good programming practices, ability to write readable, fast code.
Intellectual curiosity and desire to learn new things, techniques and technologies
Nice to have:
Knowledge of test design, implementation and evaluation, with website A/B testing experience a plus;
Real world experience with Internet scale data on Spark, Hadoop or similar platform highly preferred;
Experience with data visualisation tools and packages
Join us to disrupt and have a look at what could be your career at Expedia
Why join us:
Expedia Group recognizes our success is dependent on the success of our people. We are the world's travel platform, made up of the most knowledgeable, passionate, and creative people in our business. Our brands recognize the power of travel to break down barriers and make people's lives better – that responsibility inspires us to be the place where exceptional people want to do their best work, and to provide them the tools to do so.
Whether you're applying to work in engineering or customer support, marketing or lodging supply, at Expedia Group we act as one team, working towards a common goal; to bring the world within reach. We relentlessly strive for better, but not at the cost of the customer. We act with humility and optimism, respecting ideas big and small. We value diversity and voices of all volumes. We are a global organization but keep our feet on the ground so we can act fast and stay simple. Our teams also have the chance to give back on a local level and make a difference through our corporate social responsibility program, Expedia Cares.
If you have a hunger to make a difference with one of the most loved consumer brands in the world and to work in the dynamic travel industry, this is the job for you.
Our family of travel brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Egencia®, trivago®, HomeAway®, Orbitz®, Travelocity®, Wotif®, lastminute.com.au®, ebookers®, CheapTickets®, Hotwire®, Classic Vacations®, Expedia® Media Solutions, CarRentals.com™, Expedia Local Expert®, Expedia® CruiseShipCenters®, SilverRail Technologies, Inc., ALICE and Traveldoo®.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Sartorius develop automated laboratory systems which integrate novel hardware and software solutions with electronics, sensor technology and single use consumables to provide easy-to-use platforms for development scientists within the modern life sciences industry. Sartorius is looking for a capable Data Scientist to contribute to development projects and shape how we process and analyse multivariate data. Key job accountabilities will include :
Formatting data (and automating the formatting of data) from a broad range of sources for analysis.
Working with multi-discipline engineering teams to analyse experimental data, present conclusions and shape the development of software and hardware systems.
Working with software development teams to encode data formatting and data analysis algorithms into finished products.
Multivariate Data Analysis – likely with SIMCA.
Evaluation of spectroscopy data.
Assisting with troubleshooting customer issues relating software data processing.
This role will be based in Royston, Cambridge UK supporting the development teams located there but may require occasional travel to customers and other development groups within the worldwide Sartorius organisation. Qualifications : PhD/ EngD, MSc, or Degree level qualification plus equivalent experience in relevant field of study, e.g. Physics, Chemistry, Engineering, Biochemical Engineering, Mathematics. Experience :
General Programming skills and data manipulation (e.g. Python, C#, C++)
Mathematical statistical scripting (e.g. R or Matlab)
Multivariate Data Analysis (e.g. SIMCA, PLS Toolbox, Unscrambler)
Mathematical / Statistical data evaluation methods and algorithms
Spectroscopy data evaluation (ideally Raman and NIR)
Key job skills Essential :
Rapid software prototyping / scripting.
Multivariate data analysis.
Mathematical / Statistical data evaluation.
Desirable :
Spectroscopy data evaluation.
Cell culture experience.
Engineering Product Development Lifecycle.
Software Development Process.
Experimental design, including Design Of Experiments approaches.
In order to commence working with us, the successful candidate will need the right to work in the UK.
15/05/2019
Full time
Sartorius develop automated laboratory systems which integrate novel hardware and software solutions with electronics, sensor technology and single use consumables to provide easy-to-use platforms for development scientists within the modern life sciences industry. Sartorius is looking for a capable Data Scientist to contribute to development projects and shape how we process and analyse multivariate data. Key job accountabilities will include :
Formatting data (and automating the formatting of data) from a broad range of sources for analysis.
Working with multi-discipline engineering teams to analyse experimental data, present conclusions and shape the development of software and hardware systems.
Working with software development teams to encode data formatting and data analysis algorithms into finished products.
Multivariate Data Analysis – likely with SIMCA.
Evaluation of spectroscopy data.
Assisting with troubleshooting customer issues relating software data processing.
This role will be based in Royston, Cambridge UK supporting the development teams located there but may require occasional travel to customers and other development groups within the worldwide Sartorius organisation. Qualifications : PhD/ EngD, MSc, or Degree level qualification plus equivalent experience in relevant field of study, e.g. Physics, Chemistry, Engineering, Biochemical Engineering, Mathematics. Experience :
General Programming skills and data manipulation (e.g. Python, C#, C++)
Mathematical statistical scripting (e.g. R or Matlab)
Multivariate Data Analysis (e.g. SIMCA, PLS Toolbox, Unscrambler)
Mathematical / Statistical data evaluation methods and algorithms
Spectroscopy data evaluation (ideally Raman and NIR)
Key job skills Essential :
Rapid software prototyping / scripting.
Multivariate data analysis.
Mathematical / Statistical data evaluation.
Desirable :
Spectroscopy data evaluation.
Cell culture experience.
Engineering Product Development Lifecycle.
Software Development Process.
Experimental design, including Design Of Experiments approaches.
In order to commence working with us, the successful candidate will need the right to work in the UK.
QUALIFICATIONS
MSc or PhD level in a relevant field (such as Computer Science, Machine Learning, Applied Statistics, Mathematics)
Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning
Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)
Experience in applying data science methods to business problems
Programming experience in languages such as: Python, R, Scala, SQL
Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
Knowledge of distributed computing or NoSQL technologies is a bonus
Proven application of advanced analytical and statistical methods in the commercial world
WHO YOU'LL WORK WITH
As a Principal Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
Mentor Senior Data Scientists and providing guidance to Fellow Data Scientists where required
Be responsible for providing insights to the Leadership team based on client and team learnings
Take ownership of separate work streams, for instance R&D or Recruiting
Be responsible for Recruiting other Data Scientists with the Recruiting team
Plan and execute secure, good practice data integration strategies and approaches
Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
Create and manage data environments in the Cloud
Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
Using a strong understanding of Information Security principles to ensure compliant handling and management of client data
Supporting Data Scientists by creating Views, Queries, and data extracts to help their analysis
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
12/05/2019
Full time
QUALIFICATIONS
MSc or PhD level in a relevant field (such as Computer Science, Machine Learning, Applied Statistics, Mathematics)
Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning
Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)
Experience in applying data science methods to business problems
Programming experience in languages such as: Python, R, Scala, SQL
Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
Knowledge of distributed computing or NoSQL technologies is a bonus
Proven application of advanced analytical and statistical methods in the commercial world
WHO YOU'LL WORK WITH
As a Principal Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
Mentor Senior Data Scientists and providing guidance to Fellow Data Scientists where required
Be responsible for providing insights to the Leadership team based on client and team learnings
Take ownership of separate work streams, for instance R&D or Recruiting
Be responsible for Recruiting other Data Scientists with the Recruiting team
Plan and execute secure, good practice data integration strategies and approaches
Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
Create and manage data environments in the Cloud
Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
Using a strong understanding of Information Security principles to ensure compliant handling and management of client data
Supporting Data Scientists by creating Views, Queries, and data extracts to help their analysis
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Main purpose of the role:
This is a senior development role working in the team responsible for the firm’s Big Data analytics platform, with a specialism in Java or Scala required. The successful candidate will work in the data team to build out the existing platform to support additional technology and business use-cases involving both on-premise and Cloud implementations. The platform delivers data solutions across BGC Group including use-cases for: market data analytics, regulatory reporting, surveillance and revenue analysis.
Key responsibilities: The objectives of the role:
To work in partnership with the business/business analysts to identify key requirements for implementation
To identify any technical requirements for new products
To work with all the business and technology departments to ensure all business and technical requirements are met
To identify and manage any integration work
To analyse, design and build any such projects
To provide input into the current and on-going system architecture
To liaise with other development teams as necessary to implement cross-team projects
Be alert to Conduct Risk issues, specifically the risk of harm to client interests, market integrity and/or competition in financial markets due to inappropriate practices or behaviours across the firm
To undertake and manage:
Systems analysis and design
Systems development
Systems documentation
Production support and out-of-hours system maintenance
Skills / experience required:
Minimum of 3 years development experience working with Big Data platforms covering the following technologies:
Java or Scala on Linux. Docker beneficial.
Hortonworks, Hive
Kafka, KafkaConnect, KafkaStreaming
Spark, SparkSQL, Yarn, Ansible
Also :
Substantial database experience: Relational and NoSQL data modelling.
Experience of software development in a financial services environment advantageous
Willingness to keep up to date with latest technology trends and proactively identify appropriate areas into which they can be applied
Solid Computing Degree
Additional Beneficial Skills / Experience:
Cassandra / Datastax, ElasticSearch, LogStash, Kibana
Experience in addressing efficient data storage and querying against very large stores
Experience in accommodating key requirements of MIFID II in designs/implementations
AWS: Data Pipeline, S3, EMR, Lamda, DynamoDB, RedShift
Experience in the use of high performance messaging middleware such as Tibco RV or Solace
Personal attributes:
Team player with excellent inter-personal skills and confident communication skills.
Able to effectively disseminate knowledge and experience to less experienced team members
Must be able to deal with our customers effectively, ie development teams working across the globe using Messaging and Data products, alongside external vendors who use the products
Must be able to deal with and adapt to change extremely effectively
Must be proactive in generating ideas and effective at developing solutions that are balanced, proportionate and effective. It is critical that this is achieved in collaboration with the global team
Ability to work and function under pressure, handle multiple tasks, and shifting priorities
“Self-starter” always looking to improve quality of process and deliverables and keen to take a lead role in that process
08/05/2019
Full time
Main purpose of the role:
This is a senior development role working in the team responsible for the firm’s Big Data analytics platform, with a specialism in Java or Scala required. The successful candidate will work in the data team to build out the existing platform to support additional technology and business use-cases involving both on-premise and Cloud implementations. The platform delivers data solutions across BGC Group including use-cases for: market data analytics, regulatory reporting, surveillance and revenue analysis.
Key responsibilities: The objectives of the role:
To work in partnership with the business/business analysts to identify key requirements for implementation
To identify any technical requirements for new products
To work with all the business and technology departments to ensure all business and technical requirements are met
To identify and manage any integration work
To analyse, design and build any such projects
To provide input into the current and on-going system architecture
To liaise with other development teams as necessary to implement cross-team projects
Be alert to Conduct Risk issues, specifically the risk of harm to client interests, market integrity and/or competition in financial markets due to inappropriate practices or behaviours across the firm
To undertake and manage:
Systems analysis and design
Systems development
Systems documentation
Production support and out-of-hours system maintenance
Skills / experience required:
Minimum of 3 years development experience working with Big Data platforms covering the following technologies:
Java or Scala on Linux. Docker beneficial.
Hortonworks, Hive
Kafka, KafkaConnect, KafkaStreaming
Spark, SparkSQL, Yarn, Ansible
Also :
Substantial database experience: Relational and NoSQL data modelling.
Experience of software development in a financial services environment advantageous
Willingness to keep up to date with latest technology trends and proactively identify appropriate areas into which they can be applied
Solid Computing Degree
Additional Beneficial Skills / Experience:
Cassandra / Datastax, ElasticSearch, LogStash, Kibana
Experience in addressing efficient data storage and querying against very large stores
Experience in accommodating key requirements of MIFID II in designs/implementations
AWS: Data Pipeline, S3, EMR, Lamda, DynamoDB, RedShift
Experience in the use of high performance messaging middleware such as Tibco RV or Solace
Personal attributes:
Team player with excellent inter-personal skills and confident communication skills.
Able to effectively disseminate knowledge and experience to less experienced team members
Must be able to deal with our customers effectively, ie development teams working across the globe using Messaging and Data products, alongside external vendors who use the products
Must be able to deal with and adapt to change extremely effectively
Must be proactive in generating ideas and effective at developing solutions that are balanced, proportionate and effective. It is critical that this is achieved in collaboration with the global team
Ability to work and function under pressure, handle multiple tasks, and shifting priorities
“Self-starter” always looking to improve quality of process and deliverables and keen to take a lead role in that process
Main purpose of the role:
This is a Big Data Systems Administrator role working in the team responsible for the firm’s Big Data analytics platform. The successful candidate will work with the Data team to build out the existing platform to support additional technology and business use-cases involving both on-premise and Cloud implementations. The platform delivers data solutions across BGC Group including use-cases for: market data analytics, regulatory reporting, surveillance and revenue analysis.
Key responsibilities: The objectives of the role:
To work in partnership with the Big Data technical team to identify key requirements for implementation to enhance capability and to preserve/protect current capabilities
To implement and support systems administration requirements for the Reference Data Platform
To performance tune the Big Data platform in accordance with current and upcoming needs.
To identify, implement and test enhancements to better automate, monitor, deploy and support the firm’s Data platforms
To plan, document, implement and test expansion of data systems installations
To plan, document and test Business Continuity Processes and support Disaster Recovery exercises
To implement and support changes needed for executing PoC’s both on-premise and Cloud.
To provide production support for the firm’s Data platforms
To provide out-of-hours upgrade/maintenance/support of the data platform as required.
To work with all the business and technology departments to ensure all business and technical requirements are met
To identify and manage any integration work required
To analyse, design and build any such projects
To provide input into the current and on-going system design
To liaise with other development teams as necessary to implement cross-team projects.
Be alert to Conduct Risk issues, specifically the risk of harm to client interests, market integrity and/or competition in financial markets due to inappropriate practices or behaviors across the firm
Skills / experience required:
Minimum of 5 years sysadmin and/or devops experience working with Big Data platforms covering the following technologies:
Linux OS, networks, bash and python scripting, automation with Ansible. VMware
Hortonworks, HDP stack, Ambari management,Yarn. Hive
Experience of HDP upgrades. HDFS, Kafka and Spark cluster admin
Bigdata cluster monitoring experience
Relational Database administration and SQL experience
Jenkins, Artifactory Git and Docker
Willingness to keep up to date with latest technology trends and proactively identify appropriate areas into which they can be applied
Solid Computing Degree
Additional Beneficial Skills / experience:
Administration and performance tuning of Datastax/Cassandra
Administration and performance tuning of Elastic Search, Logstash, Kibana
Integation of AWS services
Personal attributes:
Team player with excellent inter-personal skills and confident communication skills.
Able to effectively disseminate knowledge and experience to less experienced team members
Must be able to deal with our customers effectively, ie development teams working across the globe using Messaging and Data products, alongside external vendors who use the products
Must be able to deal with and adapt to change extremely effectively
Must be proactive in generating ideas and effective at developing solutions that are balanced, proportionate and effective. It is critical that this is achieved in collaboration with the global team
Ability to work and function under pressure, handle multiple tasks, and shifting priorities
“Self-starter” always looking to improve quality of process and deliverables and keen to take a lead role in that process
08/05/2019
Full time
Main purpose of the role:
This is a Big Data Systems Administrator role working in the team responsible for the firm’s Big Data analytics platform. The successful candidate will work with the Data team to build out the existing platform to support additional technology and business use-cases involving both on-premise and Cloud implementations. The platform delivers data solutions across BGC Group including use-cases for: market data analytics, regulatory reporting, surveillance and revenue analysis.
Key responsibilities: The objectives of the role:
To work in partnership with the Big Data technical team to identify key requirements for implementation to enhance capability and to preserve/protect current capabilities
To implement and support systems administration requirements for the Reference Data Platform
To performance tune the Big Data platform in accordance with current and upcoming needs.
To identify, implement and test enhancements to better automate, monitor, deploy and support the firm’s Data platforms
To plan, document, implement and test expansion of data systems installations
To plan, document and test Business Continuity Processes and support Disaster Recovery exercises
To implement and support changes needed for executing PoC’s both on-premise and Cloud.
To provide production support for the firm’s Data platforms
To provide out-of-hours upgrade/maintenance/support of the data platform as required.
To work with all the business and technology departments to ensure all business and technical requirements are met
To identify and manage any integration work required
To analyse, design and build any such projects
To provide input into the current and on-going system design
To liaise with other development teams as necessary to implement cross-team projects.
Be alert to Conduct Risk issues, specifically the risk of harm to client interests, market integrity and/or competition in financial markets due to inappropriate practices or behaviors across the firm
Skills / experience required:
Minimum of 5 years sysadmin and/or devops experience working with Big Data platforms covering the following technologies:
Linux OS, networks, bash and python scripting, automation with Ansible. VMware
Hortonworks, HDP stack, Ambari management,Yarn. Hive
Experience of HDP upgrades. HDFS, Kafka and Spark cluster admin
Bigdata cluster monitoring experience
Relational Database administration and SQL experience
Jenkins, Artifactory Git and Docker
Willingness to keep up to date with latest technology trends and proactively identify appropriate areas into which they can be applied
Solid Computing Degree
Additional Beneficial Skills / experience:
Administration and performance tuning of Datastax/Cassandra
Administration and performance tuning of Elastic Search, Logstash, Kibana
Integation of AWS services
Personal attributes:
Team player with excellent inter-personal skills and confident communication skills.
Able to effectively disseminate knowledge and experience to less experienced team members
Must be able to deal with our customers effectively, ie development teams working across the globe using Messaging and Data products, alongside external vendors who use the products
Must be able to deal with and adapt to change extremely effectively
Must be proactive in generating ideas and effective at developing solutions that are balanced, proportionate and effective. It is critical that this is achieved in collaboration with the global team
Ability to work and function under pressure, handle multiple tasks, and shifting priorities
“Self-starter” always looking to improve quality of process and deliverables and keen to take a lead role in that process
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, 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, 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
Fluent Mandarin and Cantonese language skills
Fluent English language skills
4+ 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)
Considerable experience using R, SQL, Databricks, Snowflake, Git, JIRA & Spotfire
Strong experience and knowledge of data processing, data modeling, 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!
24/04/2019
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, 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, 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
Fluent Mandarin and Cantonese language skills
Fluent English language skills
4+ 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)
Considerable experience using R, SQL, Databricks, Snowflake, Git, JIRA & Spotfire
Strong experience and knowledge of data processing, data modeling, 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!
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 Junior Data Scientist, 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 Junior Data Scientist, you will be responsible for:
Performing data projects
Securing delivery on your projects
Communicating your work and achievements among the team
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
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
Qualifications: Education & experience required
A Master’s degree in machine learning, mathematics, computer science, or related fields
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 knowledge of data processing, data modeling, algorithms, and data architecture
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!
24/04/2019
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 Junior Data Scientist, 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 Junior Data Scientist, you will be responsible for:
Performing data projects
Securing delivery on your projects
Communicating your work and achievements among the team
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
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
Qualifications: Education & experience required
A Master’s degree in machine learning, mathematics, computer science, or related fields
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 knowledge of data processing, data modeling, algorithms, and data architecture
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!
Brave is looking for an experienced Machine Learning engineer to help build our Brave Web Browser. It's already receiving rave reviews and we are only just beginning. Jump in and work with a top-notch team and watch our adoption soar with your help. We need to hire a machine learning engineer to help with a wide range of key issues, ranging from better ad targeting to finding and fighting malware.
Specific Skills That Will Set You Apart from the Competition
Privacy-preserving machine learning
Decentralized machine learning
Deep knowledge of adtech
Ph.D. in computer science from a top-tier school
About you
An ideal candidate will have a mix of skills that include the following:
Demonstrates a high level of initiative and consistently delivers high-quality answers
Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
Is excited by the potential of realising high-value commercial outcomes and change the way that the advertising business operates
Want to be part of a high-growth startup company with global ambitions
Comfortable with JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or C# is also strongly encouraged.
Has a proven track record implementing data driven products and a broad understanding of the state of the art in machine learning
Comfortable working in an open source setting
Able to create and deploy machine learning pipelines
Has a passion for helping protect users’ privacy and security
A Ph.D. in computer science is highly preferred, but we may consider some exceptions
Specific Skills
Logistic Regression, Decision Trees, Random Forest, Naive Bayes, Clustering, etc. and a good grasp of the strengths and weaknesses of specific approaches
Basic data cleansing and preparation, variable preprocessing/transformation
Univariate analysis, performing statistical tests, covariance analysis, multivariate analysis and linear/non-linear regression
Preparation of data sets for predictive modelling, robust predictive model building, validation and application
Automation of statistical processes and integration into a bigger product
Experience in Hadoop technologies such as Hive / Impala and distributed data pipelines such as Airflow / Luigi
What we offer
Ability to work at an exciting and well-funded international startup headquartered in San Francisco
Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
Competitive compensation and plenty of room for personal growth
Great international exposure and team atmosphere
We are looking to hire in London but would consider an exceptional candidate in the rest of Europe.
24/04/2019
Full time
Brave is looking for an experienced Machine Learning engineer to help build our Brave Web Browser. It's already receiving rave reviews and we are only just beginning. Jump in and work with a top-notch team and watch our adoption soar with your help. We need to hire a machine learning engineer to help with a wide range of key issues, ranging from better ad targeting to finding and fighting malware.
Specific Skills That Will Set You Apart from the Competition
Privacy-preserving machine learning
Decentralized machine learning
Deep knowledge of adtech
Ph.D. in computer science from a top-tier school
About you
An ideal candidate will have a mix of skills that include the following:
Demonstrates a high level of initiative and consistently delivers high-quality answers
Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
Is excited by the potential of realising high-value commercial outcomes and change the way that the advertising business operates
Want to be part of a high-growth startup company with global ambitions
Comfortable with JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or C# is also strongly encouraged.
Has a proven track record implementing data driven products and a broad understanding of the state of the art in machine learning
Comfortable working in an open source setting
Able to create and deploy machine learning pipelines
Has a passion for helping protect users’ privacy and security
A Ph.D. in computer science is highly preferred, but we may consider some exceptions
Specific Skills
Logistic Regression, Decision Trees, Random Forest, Naive Bayes, Clustering, etc. and a good grasp of the strengths and weaknesses of specific approaches
Basic data cleansing and preparation, variable preprocessing/transformation
Univariate analysis, performing statistical tests, covariance analysis, multivariate analysis and linear/non-linear regression
Preparation of data sets for predictive modelling, robust predictive model building, validation and application
Automation of statistical processes and integration into a bigger product
Experience in Hadoop technologies such as Hive / Impala and distributed data pipelines such as Airflow / Luigi
What we offer
Ability to work at an exciting and well-funded international startup headquartered in San Francisco
Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
Competitive compensation and plenty of room for personal growth
Great international exposure and team atmosphere
We are looking to hire in London but would consider an exceptional candidate in the rest of Europe.
At AstraZeneca we turn ideas into life changing medicines. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. Every single day, we make a difference by delivering potentially life-changing medicines to millions of people worldwide.
We are passionate about the power of data and Artificial Intelligence (AI) as a catalyst for change. We are transforming to deliver a FAIR science data foundation, AI-augmented drug design and genomics, knowledge graphs driving biological insights and holistic precision medicine. Join AstraZeneca Oncology’s vision to redefine cancer, redefine our solutions to cancer, and restore patients' lives.
Minimum Requirements:
BSc and MSc or PhD degrees in a quantitative discipline (Applied Statistics, Mathematics, Data Science, Physics or similar).
Relevant work experience, including full time industry experience or post-doctoral research.
Expert solving complex data problems with a broad set of machine learning and statistical data mining techniques, including deep learning.
Experience with machine intelligence, algorithmic foundations of optimization, transfer learning, graph techniques, machine attention or reinforcement learning.
Programming proficiency with Python or R; version control (Git/Bitbucket).
Experience contributing to the research community through publication and conferences.
Experience working with biological or health data e.g. genomics.
About the job
In AstraZeneca Oncology our data scientists are embedded throughout our research organization. As a Research Data Scientist, you will work alongside drug project bioscientists, software engineers and bioinformaticians to generate new ideas to impact our science with machine learning. We will provide an environment where you can collaborate with domain experts and the burgeoning data science community to create experiments, steer data generation and rapidly deploy solutions.
Typical research will focus on applying machine intelligence, natural language processing and deep learning for:
Feature engineering/extraction for genomics, CRISPR, and phenotypic assays.
Representation and modeling of multi-modal patient data for precision medicine.
Retrieving and harnessing prior-knowledge to augment machine intelligence.
The team will actively research ways in which to improve machine learning algorithms and infrastructure for biological data and enable practical application by our research community. You will maintain awareness of cutting-edge applications of machine learning and initiate collaborative interactions with leaders in the field. You will grow your external reputation and contribute to the wider research community by publishing innovative methodologies and scientific discoveries.
You will have the opportunity to supervise and mentor junior data scientists, directing their day-to-day scientific and technical delivery. You will educate the AZ Oncology leadership and scientific community to recognize opportunities for machine learning and adopt a data-first FAIR culture.
23/04/2019
Full time
At AstraZeneca we turn ideas into life changing medicines. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. Every single day, we make a difference by delivering potentially life-changing medicines to millions of people worldwide.
We are passionate about the power of data and Artificial Intelligence (AI) as a catalyst for change. We are transforming to deliver a FAIR science data foundation, AI-augmented drug design and genomics, knowledge graphs driving biological insights and holistic precision medicine. Join AstraZeneca Oncology’s vision to redefine cancer, redefine our solutions to cancer, and restore patients' lives.
Minimum Requirements:
BSc and MSc or PhD degrees in a quantitative discipline (Applied Statistics, Mathematics, Data Science, Physics or similar).
Relevant work experience, including full time industry experience or post-doctoral research.
Expert solving complex data problems with a broad set of machine learning and statistical data mining techniques, including deep learning.
Experience with machine intelligence, algorithmic foundations of optimization, transfer learning, graph techniques, machine attention or reinforcement learning.
Programming proficiency with Python or R; version control (Git/Bitbucket).
Experience contributing to the research community through publication and conferences.
Experience working with biological or health data e.g. genomics.
About the job
In AstraZeneca Oncology our data scientists are embedded throughout our research organization. As a Research Data Scientist, you will work alongside drug project bioscientists, software engineers and bioinformaticians to generate new ideas to impact our science with machine learning. We will provide an environment where you can collaborate with domain experts and the burgeoning data science community to create experiments, steer data generation and rapidly deploy solutions.
Typical research will focus on applying machine intelligence, natural language processing and deep learning for:
Feature engineering/extraction for genomics, CRISPR, and phenotypic assays.
Representation and modeling of multi-modal patient data for precision medicine.
Retrieving and harnessing prior-knowledge to augment machine intelligence.
The team will actively research ways in which to improve machine learning algorithms and infrastructure for biological data and enable practical application by our research community. You will maintain awareness of cutting-edge applications of machine learning and initiate collaborative interactions with leaders in the field. You will grow your external reputation and contribute to the wider research community by publishing innovative methodologies and scientific discoveries.
You will have the opportunity to supervise and mentor junior data scientists, directing their day-to-day scientific and technical delivery. You will educate the AZ Oncology leadership and scientific community to recognize opportunities for machine learning and adopt a data-first FAIR culture.
AstraZeneca is a global biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. Our growth platforms are doing extremely well, and the impact of our older products decline is starting to reduce. And, with the potential of our pipeline and new medicines, we can be confident in our ability to sustain growth for years to come and make an even bigger difference to patients around the world.
At AstraZeneca, we're proud to have a workplace culture that inspires innovation and collaboration. Our vision of a great place to work is one in which all our employees are engaged and inspired by a clear shared purpose and a compelling strategy; where they are encouraged to perform and develop to their full potential; and where they are supported by the right organisation design, culture, technology and processes.
As a Data & Analytics engineer you will support solution development, provide technical leadership, and take responsibility for delivery. You are a data professional with a broad range of knowledge and experience across data & analytics, with significant depth in at least one technical area. You will work almost exclusively with AWS services. You will join a team that has delivered cloud solutions, such as the development of auto-scaling data integration and analytic platform. Similarly, we have built an automated cloud ETL test harness which integrates with our evolving CI/CD processes. We have an exciting pipeline of work, so you might be developing a data hub processing terabytes of clinical trial data, the world’s largest genomics platform, a federated reporting capability, a new tax analytics platform, or improvements to any of our existing analytics solutions.
You'll be part of a team of engineers who work closely with IT colleagues in UK, US, Sweden, India and Mexico. We have business partners and team members spread globally, so you would need a collaborative delivery approach to be successful. We prefer to use Agile, but choose the appropriate approach for the project. You will provide technical leadership throughout our software development lifecycle, from the initial development of a technical design based on agreed architecture, right through to service. Do you have a real passion for delivering well engineered data and analytics solutions? Because this will make you stand out from other specialists.
If you would like to discuss flexible working or part-time working, we would be happy to hear from you.
Key responsibilities
Define effective ways of end-to-end deliver of our data and analytics platform, drive visualisation strategy to enable specific insights for better business decisions.
Lead a team of data and reporting engineers focused on developing cutting edge visualisation and computational capabilities for our big data platform.
Be hands on within the scrum team on a day-to-day basis, continually inspecting and shaping the backlog in response to the changing business requirements or technical discoveries/POCs.
Challenge the norm, and push the team to forget the easy route and go after the impossible.
Lead technology processes from concept development to completion of project deliverables.
Desirable technical skills & experience
Experience of cloud techniques and tools (we currently use AWS data & analytics services such as S3, SQS, SNS, Redshift, Postgres, Aurora, MySQL, EMR, HIVE, PIG, Spark),
Experience of ETL techniques and tools (we currently use Talend for ETL),
Experience of visualisation technologies (we are focused on OBIEE, MicroStrategy, Spotfire, Qlik, Power BI),
Experience of building scalable high availability analytics solutions,
Experience in one or multiple programming languages (we currently use Python, Java, R, JavaScript and SQL),
Experience of building unit tests, integration tests, system tests and acceptance tests,
Experience in DevOps, using continuous integration and continuous development (we use Jenkins, Nexus, Git),
Experience of data analysis – profiling, investigating, interpreting and documenting data structures,
Familiarity with data modelling techniques and hands on modelling experience (our relational databases are third normal form and star schema),
Agile practices, especially being a SCRUM Master,
To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be an excellent fit, please share this posting with them
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
23/04/2019
Full time
AstraZeneca is a global biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. Our growth platforms are doing extremely well, and the impact of our older products decline is starting to reduce. And, with the potential of our pipeline and new medicines, we can be confident in our ability to sustain growth for years to come and make an even bigger difference to patients around the world.
At AstraZeneca, we're proud to have a workplace culture that inspires innovation and collaboration. Our vision of a great place to work is one in which all our employees are engaged and inspired by a clear shared purpose and a compelling strategy; where they are encouraged to perform and develop to their full potential; and where they are supported by the right organisation design, culture, technology and processes.
As a Data & Analytics engineer you will support solution development, provide technical leadership, and take responsibility for delivery. You are a data professional with a broad range of knowledge and experience across data & analytics, with significant depth in at least one technical area. You will work almost exclusively with AWS services. You will join a team that has delivered cloud solutions, such as the development of auto-scaling data integration and analytic platform. Similarly, we have built an automated cloud ETL test harness which integrates with our evolving CI/CD processes. We have an exciting pipeline of work, so you might be developing a data hub processing terabytes of clinical trial data, the world’s largest genomics platform, a federated reporting capability, a new tax analytics platform, or improvements to any of our existing analytics solutions.
You'll be part of a team of engineers who work closely with IT colleagues in UK, US, Sweden, India and Mexico. We have business partners and team members spread globally, so you would need a collaborative delivery approach to be successful. We prefer to use Agile, but choose the appropriate approach for the project. You will provide technical leadership throughout our software development lifecycle, from the initial development of a technical design based on agreed architecture, right through to service. Do you have a real passion for delivering well engineered data and analytics solutions? Because this will make you stand out from other specialists.
If you would like to discuss flexible working or part-time working, we would be happy to hear from you.
Key responsibilities
Define effective ways of end-to-end deliver of our data and analytics platform, drive visualisation strategy to enable specific insights for better business decisions.
Lead a team of data and reporting engineers focused on developing cutting edge visualisation and computational capabilities for our big data platform.
Be hands on within the scrum team on a day-to-day basis, continually inspecting and shaping the backlog in response to the changing business requirements or technical discoveries/POCs.
Challenge the norm, and push the team to forget the easy route and go after the impossible.
Lead technology processes from concept development to completion of project deliverables.
Desirable technical skills & experience
Experience of cloud techniques and tools (we currently use AWS data & analytics services such as S3, SQS, SNS, Redshift, Postgres, Aurora, MySQL, EMR, HIVE, PIG, Spark),
Experience of ETL techniques and tools (we currently use Talend for ETL),
Experience of visualisation technologies (we are focused on OBIEE, MicroStrategy, Spotfire, Qlik, Power BI),
Experience of building scalable high availability analytics solutions,
Experience in one or multiple programming languages (we currently use Python, Java, R, JavaScript and SQL),
Experience of building unit tests, integration tests, system tests and acceptance tests,
Experience in DevOps, using continuous integration and continuous development (we use Jenkins, Nexus, Git),
Experience of data analysis – profiling, investigating, interpreting and documenting data structures,
Familiarity with data modelling techniques and hands on modelling experience (our relational databases are third normal form and star schema),
Agile practices, especially being a SCRUM Master,
To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be an excellent fit, please share this posting with them
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky.
Data Tech and Analytics brings together data from multiple sources across Sky, creating analytical products and capabilities. You will be working in a fast paced and dynamic environment surrounded by a high performing team.
As part of the Development team you’ll be delivering future-proof, scalable and innovative technical solutions to satisfy our diverse business needs.
The perks
Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more.
To find out more about working with us, search #LifeatSky on LinkedIn, Twitter or Instagram.
You will:
Support our transition to Google Cloud Platform, inputting to technical discussions and direction
Produce high quality deliverables that follow the development standards and principles
Work with and assist the wider data community, providing technical & domain expertise
Inputting to low level solution design and estimation process
Driving technology and development best practices into the team with passion and enthusiasm
Assist with the mentoring of associate developers and colleagues during the project lifecycle championing excellence across the team
Promoting good attitudes and behaviours, such as collaboration, learning, sharing, respect and motivation
You’ll have:
In depth understanding of large scale data, such as data warehousing or cloud based analytic solutions. Knowledge of Microsoft Azure, AWS (Amazon Web Services) or GCP (Google Cloud Platform) would be beneficial
An understanding of data modelling concepts within a data warehouse environment
Knowledge of Cloud products and services, such as Google Cloud SQL, BigQuery, Cloud Storage, Compute Engine, Dataflow, Dataproc, Azure SQL Data Warehouse, Functions, Data Lake Storage, Data Factory, Databricks, Amazon Athena, EMR, Redshift, Lambda, S3, SageMaker would be beneficial
A desire to learn new technologies
An ability to explain complex technical concepts to non-technical stakeholders
Demonstrates exceptional communication and interpersonal skills and has a proven ability to influence technical decisions in a fast-moving commercial environment
Experience in the following is essential:
SQL (ANSI standard or equivalent) within Data Warehousing or OLAP environments
Unix shell scripting
Low level solution design
Understanding of the following is desirable but not essential:
Working in an Agile environment
Python
Java
Spark
ETL Tools (preferably Ab Initio or Informatica)
If you’re ready to work in a fast paced dynamic environment alongside talented people who take pride in delivering great results, apply today.
So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team.
Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions, we might withdraw the offer.
We’re happy to discuss flexible working.
It’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best.
23/04/2019
Full time
We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky.
Data Tech and Analytics brings together data from multiple sources across Sky, creating analytical products and capabilities. You will be working in a fast paced and dynamic environment surrounded by a high performing team.
As part of the Development team you’ll be delivering future-proof, scalable and innovative technical solutions to satisfy our diverse business needs.
The perks
Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more.
To find out more about working with us, search #LifeatSky on LinkedIn, Twitter or Instagram.
You will:
Support our transition to Google Cloud Platform, inputting to technical discussions and direction
Produce high quality deliverables that follow the development standards and principles
Work with and assist the wider data community, providing technical & domain expertise
Inputting to low level solution design and estimation process
Driving technology and development best practices into the team with passion and enthusiasm
Assist with the mentoring of associate developers and colleagues during the project lifecycle championing excellence across the team
Promoting good attitudes and behaviours, such as collaboration, learning, sharing, respect and motivation
You’ll have:
In depth understanding of large scale data, such as data warehousing or cloud based analytic solutions. Knowledge of Microsoft Azure, AWS (Amazon Web Services) or GCP (Google Cloud Platform) would be beneficial
An understanding of data modelling concepts within a data warehouse environment
Knowledge of Cloud products and services, such as Google Cloud SQL, BigQuery, Cloud Storage, Compute Engine, Dataflow, Dataproc, Azure SQL Data Warehouse, Functions, Data Lake Storage, Data Factory, Databricks, Amazon Athena, EMR, Redshift, Lambda, S3, SageMaker would be beneficial
A desire to learn new technologies
An ability to explain complex technical concepts to non-technical stakeholders
Demonstrates exceptional communication and interpersonal skills and has a proven ability to influence technical decisions in a fast-moving commercial environment
Experience in the following is essential:
SQL (ANSI standard or equivalent) within Data Warehousing or OLAP environments
Unix shell scripting
Low level solution design
Understanding of the following is desirable but not essential:
Working in an Agile environment
Python
Java
Spark
ETL Tools (preferably Ab Initio or Informatica)
If you’re ready to work in a fast paced dynamic environment alongside talented people who take pride in delivering great results, apply today.
So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team.
Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions, we might withdraw the offer.
We’re happy to discuss flexible working.
It’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best.
We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky.
This role is an exciting opportunity to join us and work within our Test Team
The perks
Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more.
To find out more about working with us, search #LifeatSky on LinkedIn, Twitter or Instagram.
You will:
As a member of the Test Team within Data Technology & Operations, you’ll help deliver technical solutions that will meet the business requirements of our partners. This will include defining, estimating, planning and executing manual and automated test scripts as appropriate.
Produce documentation that state clearly the scope of what will and will not be included in the test coverage, with justification where appropriate, achieve sign off of scope from our partners
Documents and validates all gaps, risks, issues, assumptions and dependencies with mitigation.
Ensures consideration given to the use of automation for test scripts or data creation
Produce automated test scripts, unless by exception manual is the solution, supporting test requirements and coverage, and documents expected results
Ensures independent, documented quality peer reviews are undertaken on own work
Ensures test estimates clearly differentiate between man day’s effort and elapsed duration
Ensure that regression test scripts are maintained in line with ongoing changes to the platform
Work with and assist the other teams within the department and provide technical & domain input and with the mentoring of associate testers and colleagues during the project lifecycle
You’ll have:
In depth understanding of large scale data, such as data warehouses and their standard methodology and principles of managing them
Experience of ETL technical design, development and support
Excellent SQL skills
Experience of Unix and python scripting
Experience in Netezza, Oracle are desirable but not essential.
Comfortable with developing testing capability in automation frameworks
Technology background that includes as many as possible of – Selenium, Cucumber, LeanFT, Java, Maven, Jenkins, Git
Demonstrates exceptional communication and interpersonal skills and has a proven ability to influence technical decisions in a dynamic commercial environment.
So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team.
Just so you know: if your application is successful, your appointment will be subject to receiving a positive outcome from your criminal record check.
We’re happy to discuss flexible working.
It’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best.
If you are successful in your application for this role, your appointment will be subject to receiving a positive outcome from your Criminal Record Check.
23/04/2019
Full time
We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky.
This role is an exciting opportunity to join us and work within our Test Team
The perks
Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more.
To find out more about working with us, search #LifeatSky on LinkedIn, Twitter or Instagram.
You will:
As a member of the Test Team within Data Technology & Operations, you’ll help deliver technical solutions that will meet the business requirements of our partners. This will include defining, estimating, planning and executing manual and automated test scripts as appropriate.
Produce documentation that state clearly the scope of what will and will not be included in the test coverage, with justification where appropriate, achieve sign off of scope from our partners
Documents and validates all gaps, risks, issues, assumptions and dependencies with mitigation.
Ensures consideration given to the use of automation for test scripts or data creation
Produce automated test scripts, unless by exception manual is the solution, supporting test requirements and coverage, and documents expected results
Ensures independent, documented quality peer reviews are undertaken on own work
Ensures test estimates clearly differentiate between man day’s effort and elapsed duration
Ensure that regression test scripts are maintained in line with ongoing changes to the platform
Work with and assist the other teams within the department and provide technical & domain input and with the mentoring of associate testers and colleagues during the project lifecycle
You’ll have:
In depth understanding of large scale data, such as data warehouses and their standard methodology and principles of managing them
Experience of ETL technical design, development and support
Excellent SQL skills
Experience of Unix and python scripting
Experience in Netezza, Oracle are desirable but not essential.
Comfortable with developing testing capability in automation frameworks
Technology background that includes as many as possible of – Selenium, Cucumber, LeanFT, Java, Maven, Jenkins, Git
Demonstrates exceptional communication and interpersonal skills and has a proven ability to influence technical decisions in a dynamic commercial environment.
So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team.
Just so you know: if your application is successful, your appointment will be subject to receiving a positive outcome from your criminal record check.
We’re happy to discuss flexible working.
It’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best.
If you are successful in your application for this role, your appointment will be subject to receiving a positive outcome from your Criminal Record Check.
SPYSCAPE is a totally new kind of edutainment and media company. We aim to educate and entertain people as we inspire them to see the world and their own potential more clearly. Find out more here .
We need a data-driven analyst to help us understand the performance of our products, services and experiences . You’ll work with Product Management and Marketing in user research, and bring rigour to quantifying and qualifying customer behaviour and sentiment.
We're looking for someone who wants to help create a purpose-led global brand for the 21st century.
What would interest us?
A passion for constant improvement
Demonstrated ability to use tools like Excel, R, SQL and BI tools like Tableau / Looker.
Product management / analyst experience
Knowledge of research methods and statistical methods
What will resonate with you
Loves data, data visualisation and the stories you can tell
Care about user experience, and good creative environments
Cares deeply about statistical validity
Want a start up vibe in a grown up company
22/04/2019
Full time
SPYSCAPE is a totally new kind of edutainment and media company. We aim to educate and entertain people as we inspire them to see the world and their own potential more clearly. Find out more here .
We need a data-driven analyst to help us understand the performance of our products, services and experiences . You’ll work with Product Management and Marketing in user research, and bring rigour to quantifying and qualifying customer behaviour and sentiment.
We're looking for someone who wants to help create a purpose-led global brand for the 21st century.
What would interest us?
A passion for constant improvement
Demonstrated ability to use tools like Excel, R, SQL and BI tools like Tableau / Looker.
Product management / analyst experience
Knowledge of research methods and statistical methods
What will resonate with you
Loves data, data visualisation and the stories you can tell
Care about user experience, and good creative environments
Cares deeply about statistical validity
Want a start up vibe in a grown up company
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.
22/04/2019
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.
DXC Technology (NYSE: DXC) is the world’s leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries. The company’s technology independence, global talent and extensive partner alliance combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally. The Newcastle Digital Transformation Center (DTC) offers Agile Delivery to multiple Clients.
Would you describe yourself as a creative and ambitious engineer who is always ready to take on the next cutting-edge technology? If your answer is yes, you are going to fit right in with our team. We are looking for a passionate, motivated, innovative team player with a technical aptitude and thirst for learning and problem solving, who would like to be part of our vision in helping clients transform their business. Our technical roles offer you the chance to grow your skills and experience whilst working alongside some of the most talented people in DXC.
Our Client has been working with DXC on ways to advance and scale their analytics talent, innovation and compute globally. In addition, they have been exploring ways to leverage DXC experience, methods and management to improve and accelerate business outcomes.
DXC and our Client are trying to scale to meet unmet business and digital transformation demand from the clients operating units around the world. Therefore, they are looking for a partner and talent model framework which goes beyond and delivers more value. They want to innovate on digital solutions (develop/deploy/support) and strengthen their analytics foundational capabilities. They want our help to optimize utility costs for analytics workloads.
Responsibilities:
Understand the business use of data to support work processes and strategic business objectives
Leverage data, analytics and data science techniques to create business value through solution delivery and/or self-service enablement.
Identifies, acquires, and cleanses/prepares/transforms data in alignment with defined data architecture patterns, reusability principles and business value objectives.
Collaborates with data scientists to identify, build and integrate advanced analytics models into solutions.
Enables the data scientists to develop the most advanced analytics models.
Uses an agile approach (part of a scrum team) to develop analytic solutions and technical components of the platform (data ingestion, data preparation, analytics processing, visualization).
Deploys solution including model, documentation, training, integration.
Essential Skills:
Data Architecture, modelling and Integration
Experience in Analytics/Data Platforms and Data Products solution architecture (Hadoop, Azure Analytics).
Experience in Data Extract, Load and transformation technics and tools (Hadoop ecosystem, Azure Data Factory, Databricks).
Understanding of relational and dimensional data models.
Learning Agility
Work productively in uncertain and fast changing environments. Finds opportunities in ambiguity; Embraces and adapts to change; adept of learning by doing.
Analytical thinking and problem solving
Knowledge of techniques and tools that promote effective analysis, determine the root cause of problems and create alternative solutions to solve them in the best interest of the business
Optional Skills:
Software Engineering, coding
Experience in software engineering, Agile and DevOps methodologies and tools (Jira, Jenkins, VSTS/ADO).
Experience with programming languages / scripting tools (Java, Python, R, C, Spark).
Experience with information security management.
Data Visualization and Analytics
Experience with analytics solutions (Azure Analytics Paas/Saas).
Experience in Data Visualization (Spotfire, PowerBI).
Software Engineering, coding
Experience in software engineering, Agile and DevOps methodologies and tools (Jira, Jenkins, VSTS/ADO).
Experience with programming languages / scripting tools (Java, Python, R, C, Spark).
Experience with information security management.
Tools / Platform / Coding Languages that will be used on this project:
Platforms: Hadoop, Azure Analytics, Cloudera
Data Extraction: Hadoop ecosystem, Azure Data Factory, Databricks
Data Vizualisation & Analytics: Spotfire, PowerB
Coding language – Java, Python
Tools - standard JIRA, Jenkins
Experience Level:
4 to 10 years of relevant experience
DXC Technology is committed to the development of a fully inclusive workforce. All applications for employment are assessed purely on merit, against the capabilities and competencies required for the role.
DXC Technology does not discriminate on the basis of gender, ethnic origin, race, faith or sexual orientation.
22/04/2019
Full time
DXC Technology (NYSE: DXC) is the world’s leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries. The company’s technology independence, global talent and extensive partner alliance combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally. The Newcastle Digital Transformation Center (DTC) offers Agile Delivery to multiple Clients.
Would you describe yourself as a creative and ambitious engineer who is always ready to take on the next cutting-edge technology? If your answer is yes, you are going to fit right in with our team. We are looking for a passionate, motivated, innovative team player with a technical aptitude and thirst for learning and problem solving, who would like to be part of our vision in helping clients transform their business. Our technical roles offer you the chance to grow your skills and experience whilst working alongside some of the most talented people in DXC.
Our Client has been working with DXC on ways to advance and scale their analytics talent, innovation and compute globally. In addition, they have been exploring ways to leverage DXC experience, methods and management to improve and accelerate business outcomes.
DXC and our Client are trying to scale to meet unmet business and digital transformation demand from the clients operating units around the world. Therefore, they are looking for a partner and talent model framework which goes beyond and delivers more value. They want to innovate on digital solutions (develop/deploy/support) and strengthen their analytics foundational capabilities. They want our help to optimize utility costs for analytics workloads.
Responsibilities:
Understand the business use of data to support work processes and strategic business objectives
Leverage data, analytics and data science techniques to create business value through solution delivery and/or self-service enablement.
Identifies, acquires, and cleanses/prepares/transforms data in alignment with defined data architecture patterns, reusability principles and business value objectives.
Collaborates with data scientists to identify, build and integrate advanced analytics models into solutions.
Enables the data scientists to develop the most advanced analytics models.
Uses an agile approach (part of a scrum team) to develop analytic solutions and technical components of the platform (data ingestion, data preparation, analytics processing, visualization).
Deploys solution including model, documentation, training, integration.
Essential Skills:
Data Architecture, modelling and Integration
Experience in Analytics/Data Platforms and Data Products solution architecture (Hadoop, Azure Analytics).
Experience in Data Extract, Load and transformation technics and tools (Hadoop ecosystem, Azure Data Factory, Databricks).
Understanding of relational and dimensional data models.
Learning Agility
Work productively in uncertain and fast changing environments. Finds opportunities in ambiguity; Embraces and adapts to change; adept of learning by doing.
Analytical thinking and problem solving
Knowledge of techniques and tools that promote effective analysis, determine the root cause of problems and create alternative solutions to solve them in the best interest of the business
Optional Skills:
Software Engineering, coding
Experience in software engineering, Agile and DevOps methodologies and tools (Jira, Jenkins, VSTS/ADO).
Experience with programming languages / scripting tools (Java, Python, R, C, Spark).
Experience with information security management.
Data Visualization and Analytics
Experience with analytics solutions (Azure Analytics Paas/Saas).
Experience in Data Visualization (Spotfire, PowerBI).
Software Engineering, coding
Experience in software engineering, Agile and DevOps methodologies and tools (Jira, Jenkins, VSTS/ADO).
Experience with programming languages / scripting tools (Java, Python, R, C, Spark).
Experience with information security management.
Tools / Platform / Coding Languages that will be used on this project:
Platforms: Hadoop, Azure Analytics, Cloudera
Data Extraction: Hadoop ecosystem, Azure Data Factory, Databricks
Data Vizualisation & Analytics: Spotfire, PowerB
Coding language – Java, Python
Tools - standard JIRA, Jenkins
Experience Level:
4 to 10 years of relevant experience
DXC Technology is committed to the development of a fully inclusive workforce. All applications for employment are assessed purely on merit, against the capabilities and competencies required for the role.
DXC Technology does not discriminate on the basis of gender, ethnic origin, race, faith or sexual orientation.
DXC Technology (NYSE: DXC) is the world’s leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries. The company’s technology independence, global talent and extensive partner alliance combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally. The Newcastle Digital Transformation Center (DTC) offers Agile Delivery to multiple Clients.
Would you describe yourself as a creative and ambitious engineer who is always ready to take on the next cutting-edge technology? If your answer is yes, you are going to fit right in with our team. We are looking for a passionate, motivated, innovative team player with a technical aptitude and thirst for learning and problem solving, who would like to be part of our vision in helping clients transform their business. Our technical roles offer you the chance to grow your skills and experience whilst working alongside some of the most talented people in DXC.
Our Client has been working with DXC on ways to advance and scale their analytics talent, innovation and compute globally. In addition, they have been exploring ways to leverage DXC experience, methods and management to improve and accelerate business outcomes.
DXC and our Client are trying to scale to meet unmet business and digital transformation demand from the clients operating units around the world. Therefore, they are looking for a partner and talent model framework which goes beyond and delivers more value. They want to innovate on digital solutions (develop/deploy/support) and strengthen their analytics foundational capabilities. They want our help to optimize utility costs for analytics workloads.
Responsibilities (project):
Conduct interviews and workshops with customer’s SMEs to define business use-cases for analytic engagements.
Turn business requirements into inquiries to be addressed by the data.
Perform detailed data assessment and resolve any data quality issues.
Select, clean, integrate, derive and format data to create analytic dataset ready for modelling.
Train, validate and test data mining models to select best ones.
Present the results in both textual and appealing visual form to key decision makers for review.
Responsibilities (general):
Apply proven methodologies for conducting analytic projects (CRISP-DM, Agile).
Keep up-to-date with the latest technology trends e.g. Big Data, cloud computing, etc.
Possess broad knowledge about statistics and machine learning algorithms.
Develop competency in other related fields e.g. computer science, data visualization, etc.
Build skillset of supporting techniques e.g. shell scripting, regular expressions, etc.
Share knowledge and provide mentoring to junior data scientists.
Essential Skills:
Ability to generate actionable insights from messy disconnected datasets, including datasets that may originate in many various forms (e.g., flat files, APIs, database access)
Ability to clearly communicate with business units and delivery groups to understand the nature of their business challenges, factors specific to that operation
Ability to quickly generate simple yet power data visualizations to communicate insights
Ability to work closely with others in a fast-paced and collaborative technical setting
Ability to rapidly learn and develop new skills, largely on one’s own by staying in tune with the market and emerging technologies and techniques
Strong math and statistical skills and an ability to apply those skills towards generating logical, accurate and meaningful insights from data
An ability to quickly learn the essentials of a new operational team (e.g., a specific account within DXC’s delivery organization) and understand the nuances of tools, processes, data and business requirements that impact actions required to add value for the client and DXC
Tools / Platform / Coding Languages that will be used on this project
Platforms: Hadoop, Azure Analytics, Cloudera
Data Extraction: Hadoop ecosystem, Azure Data Factory, Databricks
Data Visualisation & Analytics: Spotfire, PowerBI
Coding language – Java, Python
Tools - standard JIRA, Jenkins
DXC Technology is committed to the development of a fully inclusive workforce. All applications for employment are assessed purely on merit, against the capabilities and competencies required for the role.
DXC Technology does not discriminate on the basis of gender, ethnic origin, race, faith or sexual orientation.
22/04/2019
Full time
DXC Technology (NYSE: DXC) is the world’s leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries. The company’s technology independence, global talent and extensive partner alliance combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally. The Newcastle Digital Transformation Center (DTC) offers Agile Delivery to multiple Clients.
Would you describe yourself as a creative and ambitious engineer who is always ready to take on the next cutting-edge technology? If your answer is yes, you are going to fit right in with our team. We are looking for a passionate, motivated, innovative team player with a technical aptitude and thirst for learning and problem solving, who would like to be part of our vision in helping clients transform their business. Our technical roles offer you the chance to grow your skills and experience whilst working alongside some of the most talented people in DXC.
Our Client has been working with DXC on ways to advance and scale their analytics talent, innovation and compute globally. In addition, they have been exploring ways to leverage DXC experience, methods and management to improve and accelerate business outcomes.
DXC and our Client are trying to scale to meet unmet business and digital transformation demand from the clients operating units around the world. Therefore, they are looking for a partner and talent model framework which goes beyond and delivers more value. They want to innovate on digital solutions (develop/deploy/support) and strengthen their analytics foundational capabilities. They want our help to optimize utility costs for analytics workloads.
Responsibilities (project):
Conduct interviews and workshops with customer’s SMEs to define business use-cases for analytic engagements.
Turn business requirements into inquiries to be addressed by the data.
Perform detailed data assessment and resolve any data quality issues.
Select, clean, integrate, derive and format data to create analytic dataset ready for modelling.
Train, validate and test data mining models to select best ones.
Present the results in both textual and appealing visual form to key decision makers for review.
Responsibilities (general):
Apply proven methodologies for conducting analytic projects (CRISP-DM, Agile).
Keep up-to-date with the latest technology trends e.g. Big Data, cloud computing, etc.
Possess broad knowledge about statistics and machine learning algorithms.
Develop competency in other related fields e.g. computer science, data visualization, etc.
Build skillset of supporting techniques e.g. shell scripting, regular expressions, etc.
Share knowledge and provide mentoring to junior data scientists.
Essential Skills:
Ability to generate actionable insights from messy disconnected datasets, including datasets that may originate in many various forms (e.g., flat files, APIs, database access)
Ability to clearly communicate with business units and delivery groups to understand the nature of their business challenges, factors specific to that operation
Ability to quickly generate simple yet power data visualizations to communicate insights
Ability to work closely with others in a fast-paced and collaborative technical setting
Ability to rapidly learn and develop new skills, largely on one’s own by staying in tune with the market and emerging technologies and techniques
Strong math and statistical skills and an ability to apply those skills towards generating logical, accurate and meaningful insights from data
An ability to quickly learn the essentials of a new operational team (e.g., a specific account within DXC’s delivery organization) and understand the nuances of tools, processes, data and business requirements that impact actions required to add value for the client and DXC
Tools / Platform / Coding Languages that will be used on this project
Platforms: Hadoop, Azure Analytics, Cloudera
Data Extraction: Hadoop ecosystem, Azure Data Factory, Databricks
Data Visualisation & Analytics: Spotfire, PowerBI
Coding language – Java, Python
Tools - standard JIRA, Jenkins
DXC Technology is committed to the development of a fully inclusive workforce. All applications for employment are assessed purely on merit, against the capabilities and competencies required for the role.
DXC Technology does not discriminate on the basis of gender, ethnic origin, race, faith or sexual orientation.
This is an exciting opportunity for you to become part of our growing Data Analysis function and expand your skills and experience within Excel and Power BI.
As the Data Analyst, you will have the chance to work in a small and closely cooperating local team whilst there is also the opportunity for personal growth in an international environment. This position has responsibility for creating, maintaining, and issuing agreed reports to measure and support business performance in key areas and agreed service levels.
Responsibilities:
Work closely with project managers to understand their analytical needs, including identifying critical metrics and KPIs
Proactively analyse data to answer key questions from stakeholders
Create and maintain rich interactive visualizations through data interpretation and analysis from multiple data sources
Identify trends and opportunities for growth through analysis of complex data sets
Work directly with management and users to build relationships, gather requirements and provide status updates
Use data to create models that depict trends in the customer data
Develop reports using tools such as MS Power BI, Cornerstone On Demand, Excel
Deliver reports as described in the Reporting Catalogue
Documentation and Version controlling of user guides
Your Qualifications:
University level or equivalent
Strong Power BI experience
Strong Excel Experience
A natural affinity to numbers and calculations.
Extensive knowledge and experience with reporting, statistical models and Data Analytics
Extensive knowledge and experience with MS Office applications (esp. excellent MS-Excel skills)
High level of accuracy & attention to detail
Preferably advanced knowledge and experience with MS Excel Macros and VBA (Visual Basic for Applications)
Spring acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Spring Group UK is an Equal Opportunities Employer.
By applying for this role your details will be submitted to Spring. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser: www.spring.com/candidate-privacy-information-statement
17/04/2019
Full time
This is an exciting opportunity for you to become part of our growing Data Analysis function and expand your skills and experience within Excel and Power BI.
As the Data Analyst, you will have the chance to work in a small and closely cooperating local team whilst there is also the opportunity for personal growth in an international environment. This position has responsibility for creating, maintaining, and issuing agreed reports to measure and support business performance in key areas and agreed service levels.
Responsibilities:
Work closely with project managers to understand their analytical needs, including identifying critical metrics and KPIs
Proactively analyse data to answer key questions from stakeholders
Create and maintain rich interactive visualizations through data interpretation and analysis from multiple data sources
Identify trends and opportunities for growth through analysis of complex data sets
Work directly with management and users to build relationships, gather requirements and provide status updates
Use data to create models that depict trends in the customer data
Develop reports using tools such as MS Power BI, Cornerstone On Demand, Excel
Deliver reports as described in the Reporting Catalogue
Documentation and Version controlling of user guides
Your Qualifications:
University level or equivalent
Strong Power BI experience
Strong Excel Experience
A natural affinity to numbers and calculations.
Extensive knowledge and experience with reporting, statistical models and Data Analytics
Extensive knowledge and experience with MS Office applications (esp. excellent MS-Excel skills)
High level of accuracy & attention to detail
Preferably advanced knowledge and experience with MS Excel Macros and VBA (Visual Basic for Applications)
Spring acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Spring Group UK is an Equal Opportunities Employer.
By applying for this role your details will be submitted to Spring. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser: www.spring.com/candidate-privacy-information-statement
I'm working with a cracking technology business in the heart of Nottingham City Centre who are quickly becoming (if, not already!) one of the Midlands biggest, tech success stories. They're now on a search for an up and coming Data Analyst to join them. This is a great chance for a candidate who thrives on integrating SQL Database to join the firm and work on an array of complex, data focused projects.
They are without a doubt one of the most exciting, highly data-driven tech firms in the Midlands right now and an enviable company to work for. They have built an established team full of some of the most talented engineers, analysts and technologists within the local market and offer an intellectually challenging, technically stimulating and fun environment to work in.
In essence, I am looking a Data enthusiast who can process large, complex and interesting data sets using SQL - and then present this information back to stake holders across the business. You'll be able to articulate your results through producing business reports in order to drive insight to allow business areas to make key decisions that can have an important impact upon the business!
As an individual its absolutely key that you bring excellent attention to detail alongside cracking presentation skills and a genuine passion for Data Integrity and its impact upon a business.
As a business, my client have cross-functional teams with very little hierarchy and you will find yourself working in a highly motivated, technically forward team, with a bunch of like-minded and extremely capable and likeable colleagues. The team are very close-knit and know how to have laugh.. whilst getting the job done. Everyone shares a real passion for developing industry leading software!
Salary is anything between £25,000-£35,000 depending on your experience and you'll also receive a bonus scheme (typically 5 - 10%), Pension scheme, 25 days holiday (plus bank holidays)
Contact me today for immediate consideration.
Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Modis International Ltd UK is an Equal Opportunities Employer.
By applying for this role your details will be submitted to Modis. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser: http://www.modis.com/en-gb/candidate-privacy
17/04/2019
Full time
I'm working with a cracking technology business in the heart of Nottingham City Centre who are quickly becoming (if, not already!) one of the Midlands biggest, tech success stories. They're now on a search for an up and coming Data Analyst to join them. This is a great chance for a candidate who thrives on integrating SQL Database to join the firm and work on an array of complex, data focused projects.
They are without a doubt one of the most exciting, highly data-driven tech firms in the Midlands right now and an enviable company to work for. They have built an established team full of some of the most talented engineers, analysts and technologists within the local market and offer an intellectually challenging, technically stimulating and fun environment to work in.
In essence, I am looking a Data enthusiast who can process large, complex and interesting data sets using SQL - and then present this information back to stake holders across the business. You'll be able to articulate your results through producing business reports in order to drive insight to allow business areas to make key decisions that can have an important impact upon the business!
As an individual its absolutely key that you bring excellent attention to detail alongside cracking presentation skills and a genuine passion for Data Integrity and its impact upon a business.
As a business, my client have cross-functional teams with very little hierarchy and you will find yourself working in a highly motivated, technically forward team, with a bunch of like-minded and extremely capable and likeable colleagues. The team are very close-knit and know how to have laugh.. whilst getting the job done. Everyone shares a real passion for developing industry leading software!
Salary is anything between £25,000-£35,000 depending on your experience and you'll also receive a bonus scheme (typically 5 - 10%), Pension scheme, 25 days holiday (plus bank holidays)
Contact me today for immediate consideration.
Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Modis International Ltd UK is an Equal Opportunities Employer.
By applying for this role your details will be submitted to Modis. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser: http://www.modis.com/en-gb/candidate-privacy
AstraZeneca is a global biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. Our growth platforms are doing deeply well, and the impact of our older products decline is starting to reduce. And, with the potential of our pipeline and new medicines, we can be confident in our ability to sustain growth for years to come and make an even bigger difference to patients around the world.
At AstraZeneca, we're proud to have a workplace culture that inspires innovation and collaboration. Our vision of a great place to work is one in which all our employees are engaged and passionate about a clear shared purpose and a compelling strategy; where they are encouraged to perform and develop to their full potential; and where they are supported by the right organisation design, culture, technology and processes.
As a Data & Analytics engineer you will support solution development, provide technical leadership, and take responsibility for delivery. You are a data professional with a broad range of knowledge and experience across data & analytics, with significant depth in at least one technical area. You will work almost exclusively with AWS services.
You will join a team that has delivered cloud solutions, such as the development of auto-scaling data integration and analytic platform. Similarly, we have built an automated cloud ETL test harness which integrates with our evolving CI/CD processes.
We have an exciting pipeline of work, so you might be developing a data hub processing terabytes of clinical trial data, the world’s largest genomics platform, a federated reporting capability, a new tax analytics platform, or improvements to any of our existing analytics solutions.
You'll be part of a team of engineers who work closely with IT colleagues in UK, US, Sweden, India and Mexico. We have business partners and team members spread globally, so you would need a collaborative delivery approach to be successful. We prefer to use Agile, but choose the appropriate approach for the project. You will provide technical leadership throughout our software development lifecycle, from the initial development of a technical design based on agreed architecture, right through to service.
Do you have a real passion for delivering well engineered data and analytics solutions? Because this will make you stand out from other specialists.
If you would like to discuss flexible working or part-time working, we would be happy to hear from you.
Key responsibilities
Define effective ways of end-to-end deliver of our data and analytics platform, drive visualisation strategy to enable specific insights for better business decisions.
Manage a team of data and reporting engineers focused on developing groundbreaking visualisation and computational capabilities for our big data platform.
Be hands on within the scrum team on a day-to-day basis, continually inspecting and crafting the backlog in response to the changing business requirements or technical discoveries/POCs.
Challenge the norm, and push the team to forget the easy route and go after the impossible.
Lead technology processes from concept development to completion of project deliverables.
Desirable technical skills & experience
Experience of cloud techniques and tools (we currently use AWS data & analytics services such as S3, SQS, SNS, Redshift, Postgres, Aurora, MySQL, EMR, HIVE, PIG, Spark),
Experience of ETL techniques and tools (we currently use Talend for ETL),
Experience of visualisation technologies (we are focused on OBIEE, MicroStrategy, Spotfire, Qlik, Power BI),
Experience of building scalable high availability analytics solutions,
Experience in one or multiple programming languages (we currently use Python, Java, R, JavaScript and SQL),
Experience of building unit tests, integration tests, system tests and acceptance tests,
Experience in DevOps, using continuous integration and continuous development (we use Jenkins, Nexus, Git),
Experience of data analysis – profiling, investigating, interpreting and documenting data structures,
Familiarity with data modelling techniques and hands on modelling experience (our relational databases are third normal form and star schema),
Agile practices, especially being a SCRUM Master,
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law
17/04/2019
Full time
AstraZeneca is a global biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. Our growth platforms are doing deeply well, and the impact of our older products decline is starting to reduce. And, with the potential of our pipeline and new medicines, we can be confident in our ability to sustain growth for years to come and make an even bigger difference to patients around the world.
At AstraZeneca, we're proud to have a workplace culture that inspires innovation and collaboration. Our vision of a great place to work is one in which all our employees are engaged and passionate about a clear shared purpose and a compelling strategy; where they are encouraged to perform and develop to their full potential; and where they are supported by the right organisation design, culture, technology and processes.
As a Data & Analytics engineer you will support solution development, provide technical leadership, and take responsibility for delivery. You are a data professional with a broad range of knowledge and experience across data & analytics, with significant depth in at least one technical area. You will work almost exclusively with AWS services.
You will join a team that has delivered cloud solutions, such as the development of auto-scaling data integration and analytic platform. Similarly, we have built an automated cloud ETL test harness which integrates with our evolving CI/CD processes.
We have an exciting pipeline of work, so you might be developing a data hub processing terabytes of clinical trial data, the world’s largest genomics platform, a federated reporting capability, a new tax analytics platform, or improvements to any of our existing analytics solutions.
You'll be part of a team of engineers who work closely with IT colleagues in UK, US, Sweden, India and Mexico. We have business partners and team members spread globally, so you would need a collaborative delivery approach to be successful. We prefer to use Agile, but choose the appropriate approach for the project. You will provide technical leadership throughout our software development lifecycle, from the initial development of a technical design based on agreed architecture, right through to service.
Do you have a real passion for delivering well engineered data and analytics solutions? Because this will make you stand out from other specialists.
If you would like to discuss flexible working or part-time working, we would be happy to hear from you.
Key responsibilities
Define effective ways of end-to-end deliver of our data and analytics platform, drive visualisation strategy to enable specific insights for better business decisions.
Manage a team of data and reporting engineers focused on developing groundbreaking visualisation and computational capabilities for our big data platform.
Be hands on within the scrum team on a day-to-day basis, continually inspecting and crafting the backlog in response to the changing business requirements or technical discoveries/POCs.
Challenge the norm, and push the team to forget the easy route and go after the impossible.
Lead technology processes from concept development to completion of project deliverables.
Desirable technical skills & experience
Experience of cloud techniques and tools (we currently use AWS data & analytics services such as S3, SQS, SNS, Redshift, Postgres, Aurora, MySQL, EMR, HIVE, PIG, Spark),
Experience of ETL techniques and tools (we currently use Talend for ETL),
Experience of visualisation technologies (we are focused on OBIEE, MicroStrategy, Spotfire, Qlik, Power BI),
Experience of building scalable high availability analytics solutions,
Experience in one or multiple programming languages (we currently use Python, Java, R, JavaScript and SQL),
Experience of building unit tests, integration tests, system tests and acceptance tests,
Experience in DevOps, using continuous integration and continuous development (we use Jenkins, Nexus, Git),
Experience of data analysis – profiling, investigating, interpreting and documenting data structures,
Familiarity with data modelling techniques and hands on modelling experience (our relational databases are third normal form and star schema),
Agile practices, especially being a SCRUM Master,
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law
QUALIFICATION
MSc or PhD level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics
Experience in statistical modelling and machine learning techniques
Programming experience in at least two of the following languages: Python, R, Scala, SQL
Experience in applying data science methods to business problems
Experience in applying advanced analytical and statistical methods in the commercial world
Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields
WHO YOU'LL WORK WITH
As a Senior Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Use Maths, Stats and Machine learning to derive key insights across various industry sectors including Formula 1, Pharma, Travel, Financial Services, Automotive
Work alongside the Principal Data Scientist to develop world-class data science products for clients as well as for our data science team
Write code to advance our internal Data Science toolbox
Mentor Fellow Data Scientists and Data Scientists where required
Play an active role in leading team meetings and workshops with clients
Work on complex data sets from some of the world’s largest organisations
Work in a multi-disciplinary environment mixing highly skilled people in data science, data engineering and design
Perhaps most importantly, you will work in one of the largest and most talented data science teams in London
Build strong links with the academic world and constantly share ideas and stay ahead of the curve on the latest methods
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
15/04/2019
Full time
QUALIFICATION
MSc or PhD level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics
Experience in statistical modelling and machine learning techniques
Programming experience in at least two of the following languages: Python, R, Scala, SQL
Experience in applying data science methods to business problems
Experience in applying advanced analytical and statistical methods in the commercial world
Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields
WHO YOU'LL WORK WITH
As a Senior Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Use Maths, Stats and Machine learning to derive key insights across various industry sectors including Formula 1, Pharma, Travel, Financial Services, Automotive
Work alongside the Principal Data Scientist to develop world-class data science products for clients as well as for our data science team
Write code to advance our internal Data Science toolbox
Mentor Fellow Data Scientists and Data Scientists where required
Play an active role in leading team meetings and workshops with clients
Work on complex data sets from some of the world’s largest organisations
Work in a multi-disciplinary environment mixing highly skilled people in data science, data engineering and design
Perhaps most importantly, you will work in one of the largest and most talented data science teams in London
Build strong links with the academic world and constantly share ideas and stay ahead of the curve on the latest methods
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
