For many fans of Formula One, the sport exists between lights and chequered flag on a Sunday afternoon. It begins and ends with the exploits of the drivers on the track. But this is merely the tip of the spear. The reality of modern F1 is that of a complex and intertwined operation, every part of which needs to perform near its limit if success is to be achieved. From the pit crew searching for the ultimate repeatable pit stop, to the inspiration of the designers, the application of engineers and the herculean efforts of an army of fabricators and machinists. Much of our success is thanks to the diversity of thought and spectrum of skill sets held within the team, our ability to recognise unique contributions from individual team members is just a part of why we love what we do.
Job Description
We are looking for a highly motivated Data Scientist to join the Machine Learning and Data Science Team and contribute state-of-the-art Machine Learning techniques to improve overall car performance. To enable you to do this, you’ll have the opportunity of collaborating with a dynamic technology department as well as domain experts in the various engineering departments within the business.
Working within the Technology & Analysis Tools department from our Milton Keynes campus, our mission is to develop the technology that enables our engineers to design championship winning Formula 1 cars. This is a unique opportunity to make a significant contribution to technology that will define the way we exploit car performance in the future.
The impact you will have
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Develop Machine Learning and Data Science tools that improve our understanding of vehicle performance and design
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Collaborate with engineers in the Vehicle Performance, Aerodynamics, Vehicle Design and Power Unit departments to understand how Data Science can enhance existing practices and address challenging problems
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Work alongside a team of highly skilled software and data engineers to put models into production
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Review state-of-art literature and research from the Machine Learning community and put relevant developments into practice
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Present work with effective communication, writing and visualisation to a wide range of stakeholders
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Lead others in the department by example with best practices in analysis, programming, and communication
What we look for
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MSc or PhD in Mathematics, Statistics, or a similar quantitative field
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Preferably 3 years industry experience (or the equivalent in a post-Doctoral/research position)
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Experience working with and analysing large multimodal datasets, particularly timeseries data, to solve complex problems
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Experience utilising a wide range of Machine Learning and Data Science techniques, as well as knowledge of the underlying mathematics of them, e.g., Bayesian Statistics, Deep Learning and Optimization
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Proficiency in Python (and other programming languages desirable) and knowledge of one or more Machine Learning frameworks/libraries, such as TensorFlow and PyTorch
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Exposure to different elements of Data Science projects, such as ideation, modelling, validation, and deployment.
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Excellent communication skills and a track record of working successfully with stakeholders from other disciplines
Bonus points for
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Being interested in Formula 1 racing!
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Possessing an understanding of vehicle dynamics and/or aerodynamics
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Familiarity with containerisation and orchestration frameworks like Docker and Kubernetes
What can we offer you?
Not only is this a fantastic role, but it is also a fantastic team to work with here at Red Bull Technology. A good salary is just the start, there are many other benefits too such as our bonus scheme, private health care cover, life assurance scheme, workplace nursery, company contributed pension scheme, on site gym & fitness classes, free food, and a cycle to work scheme; but above all, the job satisfaction doesn’t get any better than the feeling of making a real contribution to the function of our grand prix cars.
Job Posting End DateMon, 28 Oct 2024