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PU Data ScientistMotorsport Network • Milton Keynes, England, United Kingdom
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PU Data Scientist

Motorsport Network
  • +1
  • +6
  • GB
    Milton Keynes, England, United Kingdom
  • +1
  • +6
  • GB
    Milton Keynes, England, United Kingdom
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À propos

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:
Analyse and model large-scale PU datasets to extract performance insights and detect anomalies. Develop and implement ML models to support reliability prediction and fault detection. Collaborate with trackside engineers to provide data-driven recommendations from PU adjustments and tuning. Lead exploratory data analysis on long-term trends across tests and race events. Develop tools and automation for repeatable analytics workflows. Proactively explore and trial new statistical or computational approaches for PU optimisation. Deliver clear, actionable insights through visualisation and presentation tools.
To be successful in this PU Data Scientist role, you will need:
A degree with a 2:1 minimum in relevant STEM subject or related field. Strong background in data analysis, statistical modelling, and machine learning. Experience working with large datasets and utilising data analysis tools such as Python, MATLAB, or similar, with a focus on data science libraries. Familiarity with power unit systems, engine performance metrics, and Formula 1 racing rules and regulations. Proficient in data visualisation techniques and tools such as Tableau, Power BI, or similar. Excellent problem-solving skills and ability to derive actionable insights from complex data. Strong attention to detail and ability to work under pressure in a fast-paced racing environment. Effective communication and presentation skills, with the ability to convey technical information to both technical and non-technical stakeholders. Passion for motorsports, Formula One racing, and a deep interest in power unit technology.
Benefits
Bonuses Private healthcare A pension scheme On-site gym Free daily food allowance And many more!
Most importantly, you’ll play a key role in powering championship-winning cars. If you're ready to be part of something extraordinary, apply now and help shape the future of F1. #J-18808-Ljbffr

Compétences idéales

  • Data Analysis
  • Machine Learning
  • Matlab
  • Power BI
  • Python
  • Tableau
  • Milton Keynes, England, United Kingdom

Expérience professionnelle

  • Data Scientist

Compétences linguistiques

  • English
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