At a Glance
- Tasks: Analyse Power Unit data to drive performance insights and support engineering teams.
- Company: Join Red Bull Powertrains, a leader in high-performance engineering.
- Benefits: Enjoy a competitive salary, bonus scheme, private healthcare, and free daily food.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Gain hands-on experience in data analysis while contributing to the future of Formula 1.
- Qualifications: Studying STEM with knowledge of data analysis tools like Python and SQL.
The predicted salary is between 19350 - 23650 £ per year.
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.
- Gain direct exposure to the 2027 Formula 1 season and contribute to the future of Red Bull Powertrains.
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.
Expected knowledge, experience & attributes of the successful candidates:
- 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.
- Excellent communication skills and experience working in a team environment.
At Red Bull Powertrains, we believe that success isn’t just about speed, it’s about the team behind the victory. We trust, support, and challenge each other, always pushing for better. If you love solving complex problems, thinking fast, and making a real impact, this is the place for you.
Alongside a competitive salary, you’ll enjoy:
- Bonus scheme
- Private healthcare
- A pension scheme
- On-site gym
- Free daily food allowance
- And many more!
Data Strategy & Insights Student Placement (Powertrains) employer: Motorsport Network, LLC
Red Bull Powertrains offers an exhilarating work environment in Milton Keynes, where innovation and precision drive our high-performance team. As a Manufacturing Assembly Technician, you'll benefit from a culture that prioritises employee growth, with opportunities for skill development and career advancement while working on cutting-edge technology in the motorsport industry. Join us to be part of a dynamic team that values accuracy, reliability, and continuous improvement in a fast-paced setting.
StudySmarter Expert Advice🤫
We think this is how you could land Data Strategy & Insights Student Placement (Powertrains)
✨Get Involved in Data Communities
Join local data science meetups or online communities like Kaggle, where you can showcase your skills through competitions and collaborate with others. Being part of these groups not only boosts your visibility but also opens up potential placement opportunities!
✨Leverage University Career Services
Don’t forget to check in with your university’s career services! They often have exclusive placement opportunities, workshops, and networking events tailored for data science students that can help you land that sweet gig at Motorsport Network, LLC.
✨Show Off Your Projects
Create a public portfolio or blog where you can share your data science projects. This not only demonstrates your skills but also gives potential employers like Motorsport Network, LLC a taste of what you can do! Plus, it’s a great conversation starter in interviews.
✨Connect with Professionals on LinkedIn
Reach out to data science professionals on LinkedIn and ask for informational interviews. Get to know their journeys and share your interest in placements. This approach makes you memorable and could open doors to opportunities at places like Motorsport Network, LLC.
We think you need these skills to ace Data Strategy & Insights Student Placement (Powertrains)
Some tips for your application 🫡
Show off Your Data Skills:As a budding data scientist, we want to see your hands-on experience. Make sure your CV highlights any relevant projects you've worked on, especially those involving data analysis or machine learning. Include any programming languages you're proficient in, like Python or R, and don't forget to mention tools like TensorFlow or SQL that you’ve used!
Craft a Passionate Cover Letter:For a placement, your enthusiasm and eagerness to learn mean loads to us! In your cover letter, express what excites you about data science and how it aligns with your aspirations. Share specific examples of what you've learned so far – whether it's courses, personal projects, or even data challenges you've tackled!
Make Your Projects Pop:We love seeing practical examples of your work, so if you have a portfolio, now's the time to shine! Include detailed descriptions of your projects, the data sources you used, the challenges you faced, and what you achieved. If possible, share links to your GitHub or a personal website showcasing your work – it adds that extra touch!
Demonstrate Statistical Knowledge:Data science isn't just about coding; it's also about understanding the stats behind the algorithms. Be sure to highlight any coursework or relevant certifications you have in statistics or data analysis on your CV. It’ll show us you’ve got the theoretical background to complement your practical skills!
How to prepare for a job interview at Motorsport Network, LLC
✨Master Your Data Tools
For a data science placement, it's crucial to get comfy with tools like Python, R, or SQL. Brush up on libraries like Pandas and NumPy, as you might be thrown some technical questions during the interview that require real-time coding or problem-solving.
✨Showcase Your Projects
Bring along a portfolio of your data projects, especially if they're relevant to Motorsport Network, LLC. Whether it's a Kaggle competition or a personal project, showing off your practical work can really set you apart and demonstrate your hands-on experience.
✨Prepare for Case Studies
Interviews in data science often include case study questions. Be ready to walk through your thought process on how to approach a data problem, what analysis you'd do, and how you'd interpret the results. This shows your analytical thinking and understanding of data.
✨Express Your Enthusiasm
Since it's a placement, they're looking for potential and enthusiasm just as much as skills. Be sure to express why you're passionate about data science, how you're eager to learn, and why you want to join Motorsport Network, LLC specifically. Let your motivation shine through!
