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
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.
QuantumBlack London, UK
15/04/2019
Full time
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 fields 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.
QuantumBlack London, UK
20/03/2019
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 fields 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. 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
20/03/2019
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 huge plus. Practical experience with machine learning methods, such as Linear Regression, Decision Trees, Random Forest, Deep Learning, etc. Experience in object-orientated programming such as C, C++, Java OR Scala Deep understanding of good software engineering principles Knowledge of technologies, such as Spark, Hadoop/MapReduce is desirable but not essential Good knowledge of testing frameworks and libraries Experience with a range 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. 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. What we do We guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport. 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.