Data Strategy & Insights Student Placement (Powertrains)
Red Bull Powertrains are offering a year\-long placement opportunity within our Data Strategy \& Insights team. In this hands\-on role you will be immersed into the heart of our state\-of\-the\-art Technical and Testing facilities, turning Power Unit data into the insight that drives on\-track performance and reliability. Pushing boundaries is in our DNA!
We're looking for individuals with a strong interest in areas such as data analysis, statistical modelling, machine learning, data visualisation, and reporting automation. This placement offers the opportunity to work across a broad range of disciplines including data science, mathematics, statistics, and engineering, while gaining hands\-on experience analysing Power Unit data, building dashboards and models, and delivering insight that informs performance, reliability and operational decisions.
Your responsibilities will include:
- Analyse large\-scale Power Unit datasets to extract performance insights and detect anomalies, working closely with engineering and trackside teams
- Support the development and application of statistical and machine learning models for reliability prediction and fault detection
- Contribute to exploratory data analysis on long\-term trends across tests and race events
- Help build and maintain dashboards, reporting tools and automated analytics workflows
- Support the definition and monitoring of KPIs across the Power Unit function
- Contribute to data quality checks and validation routines to ensure accuracy and consistency in critical datasets
- Interpret and report data through clear visualisation and technical documentation, presenting insights to both technical and non\-technical stakeholders
- Collaborate closely with engineering, trackside and operational teams to deliver world\-class data\-driven solutions
- We're looking for passionate, curious, and driven undergraduates who are eager to turn data into decisions in a fast\-paced, high\-performance environment. If you're ready to take on real responsibility, solve real\-world engineering challenges through data, and contribute to the future of Red Bull Racing's success on track, this is your opportunity.
- Knowledge and experience from at least one year of undergraduate study on a mathematics, statistics, data science, engineering, physics or related STEM degree course
- A solid understanding of statistical and analytical methods, with the ability to apply them to real\-world engineering problems
- Knowledge of Python, SQL, MATLAB, or similar for data analysis and modelling
- Experience with data visualisation tools such as Power BI, Tableau or similar (preferred)
- Experience handling and analysing large or complex datasets and confidence in preparing high\-quality technical documentation
- Ability to break complex technical problems down to fundamental principles and derive actionable insight
- Ability to demonstrate a genuine passion for data science or analytics through involvement in extra\-curricular projects, previous placements, or work experience
- Positive, can\-do attitude and willingness to learn new skills
- Ability to follow best practice and work on multiple tasks simultaneously
- The placement will be for 1 year, starting July 2027\. To be considered for this Student Placement, please apply to this advert and submit both your CV and a one\-page Cover Letter as two separate documents.
- Bonus scheme
- Private healthcare
- A pension scheme
- On\-site gym
- Free daily food allowance
- 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\.
This listing is from Indeed. View original listing ↗