QuantumBlack is an advanced analytics firm operating at the intersection of strategy, technology and design to improve performance outcomes for organisations.In 2015 we became part of McKinsey & Company. Together we combine our advanced analytics, design and engineering expertise with McKinsey’s industry knowledge and organisational change management experience.QuantumBlack was born and proven in Formula 1 – where teams live and breathe data. Today, we are still fascinated by how a marginal gain can have a significant impact on the performance of any organization.

QuantumBlack London, UK
14/11/2018
Full time
QUALIFICATIONS: MSc or PhD level in a relevant field (such as Computer Science, Machine Learning, Applied Statistics, Mathematics) Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)  Experience in applying data science methods to business problems Programming experience in languages such as: Python, R, Scala, SQL Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields Knowledge of distributed computing or NoSQL technologies is a bonus Proven application of advanced analytical and statistical methods in the commercial world WHO YOU'LL WORK WITH As a Principal Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.  Who you are You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. WHAT YOU'LL DO You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance. Role responsibilities Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches Mentor Senior Data Scientists and providing guidance to Fellow Data Scientists where required Be responsible for providing insights to the Leadership team based on client and team learnings Take ownership of separate work streams, for instance R&D or Recruiting Be responsible for Recruiting other Data Scientists with the Recruiting team Plan and execute secure, good practice data integration strategies and approaches Acquire, ingest, and process data from multiple sources and systems into Big Data platforms Create and manage data environments in the Cloud Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models Using a strong understanding of Information Security principles to ensure compliant handling and management of client data Supporting Data Scientists by creating Views, Queries, and data extracts to help their analysis What you’ll learn How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data. Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations Using new technologies and problem-solving skills in a multicultural and creative environment You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.  Real-World Impact   – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally. Fusing Tech & Leadership   – We work with the latest technologies and methodologies and offer first class learning programmes at all levels. Multidisciplinary Teamwork   - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance. Innovative Work Culture   – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions. Striving for Diversity   – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life. Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture: Healthcare Efficiency   – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches. Environmental Impact   – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution. Product Development   – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures. Visit our   Careers site   to watch our video and read about our interview processes and benefits  
QuantumBlack London, UK
14/11/2018
Full time
QUALIFICATIONS: Meaningful experience with at least two of the following technologies: Python, Scala, SQL, Java Commercial client-facing project experience is helpful, including working in close-knit teams The ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets Meaningful experience in multiple database technologies such as: Distributed Processing (Spark, Hadoop, EMR) Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL) MPP (AWS Redshift, Teradata) NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan) A confirmed ability in clearly communicating complex solutions A deep understanding of Information Security principles to ensure compliant handling and management of client data Experience and interest in Cloud platforms such as: AWS, Azure, Goole Platform or Databricks Confirmed experience in traditional data warehousing / ETL tools (Informatica, Talend, Pentaho, DataStage) Extraordinary attention to detail WHO YOU'LL WORK WITH Our Consultant Data Engineers work closely with our clients and our Data Scientists in order to curate, transform and construct features which feed directly into our modelling approach. This would be a hybrid client-facing/technical role using state of the art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences. Collecting clear requirements is a key part of this role and will define the technical strategy the team employs on the study. Who you are A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Trust between colleagues is paramount here – you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for QuantumBlack and our clients. You are naturally enthusiastic and enjoy sharing your passion with others. WHAT YOU'LL DO You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance. Role responsibilities Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches Acquire, ingest, and process data from multiple sources and systems into Big Data platforms Understanding, assessing and mapping the data landscape. Maintaining our Information Security standards on the engagement. Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models. Defining the technology stack to be provisioned by our infrastructure team. Building modular pipeline to construct features and modelling tables. Use new and creative techniques to deliver impact for our clients as well as internal R&D projects. Mentoring and developing junior Data Engineers on engagements. What you’ll learn How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end  pipelines. Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations. Be focused on the wrangling, clean-up and transformation of data by working alongside the Data Science team which focuses on modelling the data. Using new technologies and problem-solving skills in a multicultural and creative environment. You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.  Real-World Impact   – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally. Fusing Tech & Leadership   – We work with the latest technologies and methodologies and offer first class learning programmes at all levels. Multidisciplinary Teamwork   - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance. Innovative Work Culture   – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions. Striving for Diversity   – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life. Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture: Healthcare Efficiency   – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches. Environmental Impact   – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution. Product Development   – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures. Visit our   Careers site   to watch our video and read about our interview processes and benefits As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.
QuantumBlack London, UK
13/11/2018
Full time
QUALIFICATIONS: Have strong Computer Science and Software Engineering foundations Ideally 2+ years experience in software engineering Be comfortable working with a couple of programming languages, preferably one of which is Python Be familiar with basic software engineering patterns and multiple programming paradigms, e.g. functional programming, OOP, etc. Have experience in developing and designing medium-sized projects, preferably libraries, frameworks or enterprise software Significant experience collaborating in a product engineering environment Experience working in highly scaled data problems (e.g, distributed computing, Spark, Kafka) Working on or contributing to frameworks and tools, either internal or open source Experience working with production AI/ML it would be a strong advantage Experience independently scoping and implementing solutions for your product Writing and collaborating on highly insightful, comprehensive code reviews Extraordinary in-depth understanding of your assets architecture, systematically thinking through potential design impacts on other teams and the company WHO YOU'LL WORK WITH You will be working to build the frameworks and libraries that our teams of Data Scientists and Data Engineers use to go from data to impact. You will leverage, develop, and master best-practices around modern tools that support rapid development of analytics solutions like Python, Spark, Luigi, Airflow and others. Who you are A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Trust between colleagues is paramount here – you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for QuantumBlack and our clients. You are naturally enthusiastic and enjoy sharing your passion with others. WHAT YOU'LL DO Your core focus will be on architecting, developing and delivering the best product possible for use by QuantumBlack and our clients. You’ll be successful in this role by; leading peer-programming sessions, helping teams with problem solving, reviewing code to ensure high standards, writing unit tests for all of your code, and working to continuously evaluate our process for optimisations. You will be able to measure your impact by the new opportunities you help unlock for our teams and clients. Through your work, you will collaboratively advance the state-of-the-art in QuantumBlack and for our clients. What you’ll learn With our focus on solving problems using data, you will learn to deeply understand the Data Science and Data Engineering process and help develop impactful and reusable patterns and abstractions used by our clients and teams. You will experience the thrill of building a growing product and evolving the engineering process to handle more users, harder problems and more advanced client situations. You’ll be able to continuously exercise your unique problem-solving skills by being involved with the most exciting new challenges that industry has to offer. Real-World Impact   – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally. Fusing Tech & Leadership   – We work with the latest technologies and methodologies and offer first class learning programmes at all levels. Multidisciplinary Teamwork   - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance. Innovative Work Culture   – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions. Striving for Diversity   – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life. Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture: Healthcare Efficiency   – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches. Environmental Impact   – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution. Product Development   – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures. Visit our   Careers site   to watch our video and read about our interview processes and benefits As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.
QuantumBlack London, UK
13/11/2018
Full time
QUALIFICATIONS: Meaningful experience with at least two of the following technologies: Python, Scala, SQL, Java Commercial client-facing project experience is helpful, including working in close-knit teams The ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets Meaningful experience in multiple database technologies such as: Distributed Processing (Spark, Hadoop, EMR) Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL) MPP (AWS Redshift, Teradata) NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan) A confirmed ability in clearly communicating complex solutions A deep understanding of Information Security principles to ensure compliant handling and management of client data Experience and interest in Cloud platforms such as: AWS, Azure, Goole Platform or Databricks Confirmed experience in traditional data warehousing / ETL tools (Informatica, Talend, Pentaho, DataStage) Extraordinary attention to detail WHO YOU'LL WORK WITH Our Consultant Data Engineers work closely with our clients and our Data Scientists in order to curate, transform and construct features which feed directly into our modelling approach. This would be a hybrid client-facing/technical role using state of the art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences. Collecting clear requirements is a key part of this role and will define the technical strategy the team employs on the study. Who you are A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Trust between colleagues is paramount here – you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for QuantumBlack and our clients. You are naturally enthusiastic and enjoy sharing your passion with others. WHAT YOU'LL DO You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance. Role responsibilities Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches Acquire, ingest, and process data from multiple sources and systems into Big Data platforms Understanding, assessing and mapping the data landscape. Maintaining our Information Security standards on the engagement. Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models. Defining the technology stack to be provisioned by our infrastructure team. Building modular pipeline to construct features and modelling tables. Use new and creative techniques to deliver impact for our clients as well as internal R&D projects. What you’ll learn How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end  pipelines. Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations. Be focused on the wrangling, clean-up and transformation of data by working alongside the Data Science team which focuses on modelling the data. Using new technologies and problem-solving skills in a multicultural and creative environment. You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.  Real-World Impact   – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally. Fusing Tech & Leadership   – We work with the latest technologies and methodologies and offer first class learning programmes at all levels. Multidisciplinary Teamwork   - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance. Innovative Work Culture   – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions. Striving for Diversity   – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life. Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture: Healthcare Efficiency   – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches. Environmental Impact   – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution. Product Development   – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures. Visit our   Careers site   to watch our video and read about our interview processes and benefits As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.
QuantumBlack London, UK
13/11/2018
Full time
QUALIFICATIONS: MSc or PhD level in a relevant field (such as Computer Science, Machine Learning, Applied Statistics, Mathematics) Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning Demonstrated senior-level leadership (thought leadership or people leadership e.g. managed project teams or direct reports) in engaging with C-level executives and technical clients Experience in applying data science methods to business problems Programming experience in languages such as: Python, R, Scala, SQL Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields Knowledge of distributed computing or NoSQL technologies is a bonus Proven application of advanced analytical and statistical methods in the commercial world WHO YOU'LL WORK WITH As a Senior Principal Data Scientist at QuantumBlack, you will lead other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.  Who you are You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. WHAT YOU'LL DO You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance. Role responsibilities Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches Mentor Principal Data Scientists and provide guidance to Fellow Data Scientists where required Be responsible for providing insights to the Leadership team based on client and team learnings Take ownership of separate work streams, for instance R&D or Recruiting Be responsible for Recruiting other Data Scientists with the Recruiting team Plan and execute secure, good practice data integration strategies and approaches Acquire, ingest, and process data from multiple sources and systems into Big Data platforms Create and manage data environments in the Cloud Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models Using a strong understanding of Information Security principles to ensure compliant handling and management of client data Supporting Data Scientists by creating Views, Queries, and data extracts to help their analysis What you’ll learn How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data. Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations Using new technologies and problem-solving skills in a multicultural and creative environment You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.  Real-World Impact   – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally. Fusing Tech & Leadership   – We work with the latest technologies and methodologies and offer first class learning programmes at all levels. Multidisciplinary Teamwork   - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance. Innovative Work Culture   – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions. Striving for Diversity   – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life. Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture: Healthcare Efficiency   – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches. Environmental Impact   – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution. Product Development   – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures. Visit our   Careers site   to watch our video and read about our interview processes and benefits  
QuantumBlack London, UK
12/11/2018
Full time
QUALIFICATIONS MSc or degree in Computer Science or a relevant subject Strong coding skills in Python. Experience with pandas, scikit-learn, matplotlib a big plus. Practical experience with machine learning methods, such as Linear Regression, Decision Trees, Random Forest, Deep Learning, etc Solid understanding of good software engineering principles Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce is desirable but not essential Good knowledge of testing frameworks and libraries Good knowledge of database management languages e.g. SQL, PostgreSQL WHO YOU'LL WORK WITH You will have the opportunity to work on complex problems with our clients across a number of domains. You will work part of a highly collaborative and cross-functional team of Data Scientists, Data Architects, Engineers and Designers. Who you are A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Trust between colleagues is paramount here – you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for QuantumBlack and our clients. You are naturally enthusiastic and enjoy sharing your passion with others. WHAT YOU'LL DO As a Machine Learning Engineer, you are a keen problem solver who uses technology to solve complex analytical problems. You have a deep interest in Big Data technologies, Analytics and Data Science. You know how to engineer beautiful code in Python and/or Scala (and Spark) but also can read R and take pride in what you produce. Role responsibilities Work closely with Data Scientists and Data Engineers to productionise and deploy machine learning models Work with the guild leadership to set the standards for software engineering practices within the machine learning engineering team and support across other disciplines Play an active role in leading team meetings and workshops with clients Choose and use the right analytical libraries, programming languages, and frameworks for each task Produce high-quality code that allows us to put solutions into production Refactor code into reusable libraries, APIs, and tools Help us to shape the next generation of our products Rotate between client project work and internal product development in alignment with your personal development plan  Who we are QuantumBlack teams work in multi-disciplinary environments harnessing data to provide real-world impact. We bring together the brightest data scientists, engineers and designers to take on the biggest problems facing the world’s most influential organisations. Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture. No project is ever the same -  we work across multiple sectors, providing unique learning and development opportunities internationally. Fusing Tech & Leadership  – We work with the latest technologies and methodologies and offer first class learning programmes at all levels Multidisciplinary Teamwork  - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance. Innovative Work Culture  - Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions. Striving for Diversity –  With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life. Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture: Healthcare Efficiency   – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches. Environmental Impact   – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution. Product Development   – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures. Visit our   Careers site   to watch our video and read about our interview processes and benefits.
QuantumBlack London, UK
12/11/2018
Full time
QUALIFICATIONS MSc or PhD level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics Experience in statistical modelling and machine learning techniques Programming experience in at least two of the following languages: R, Python, Scala, SQL Experience in applying data science methods to business problems Experience in applying advanced analytical and statistical methods in the commercial world Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other field WHO YOU'LL WORK WITH As a Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.  Who you are You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. WHAT YOU'LL DO You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance. Role responsibilities Work on complex and extremely varied data sets from some of the world’s largest organisations to solve real world problems Develop data science products and solutions for clients as well as for our data science team Write highly optimized code to advance our internal Data Science Toolbox Work in a multi-disciplinary environment with specialists in machine learning, engineering and design Add real-world impact to your academic expertise, as you are encouraged to write ‘black’ papers and present at meetings and conferences should you wish Attend conferences such as NIPS and ICML as one global team as well as Data Science retrospectives where you will have the opportunity to share and learn from your co-workers. Work within one of the largest and most advanced data science teams in London, support the Lead Data Scientists to develop data science products What you’ll learn How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data. Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations Using new technologies and problem-solving skills in a multicultural and creative environment You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.  Real-World Impact   – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally. Fusing Tech & Leadership   – We work with the latest technologies and methodologies and offer first class learning programmes at all levels. Multidisciplinary Teamwork   - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance. Innovative Work Culture   – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions. Striving for Diversity   – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life. Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture: Healthcare Efficiency   – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches. Environmental Impact   – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution. Product Development   – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures. Visit our   Careers site   to watch our video and read about our interview processes and benefits As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.