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A leading engineering team in motorsports seeks a PU Data Scientist to analyze power unit data and develop machine learning models to improve performance. The role requires a relevant degree and strong data analysis skills. You'll collaborate with engineers to drive insights and enhance race strategies. Join to make an impact in Formula One!
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
Red Bull Powertrains has an exciting opportunity to join our technical team as we transition from building our team's first Power Units to refining them into a race-ready package, all aimed at delivering the most competitive car on the 2026 Formula One grid. We are seeking a PU Data Scientist to join our Data Strategy & Insights department and drive the future of motorsport innovation. You will be based at our cutting-edge engineering and manufacturing facility in Milton Keynes, designed to produce high-performance Power Units for the 2026 engine regulations.
You will be a key part of the Team which is responsible for developing and applying statistical and machine learning techniques to analyse PU data, while supporting performance, reliability, and operational decisions.
You will be working closely with engineering and operational teams to uncover insights from live and historical PU data; building models and automation that influence both race-day execution and long-term performance.
Key responsibilities for this PU Data Scientist role are: