Data Science Internship

Alpine F1 Team is on a mission to return to the front of the grid, and we are offering a unique opportunity for a passionate and driven undergraduate to join our Data Science team at our Enstone headquarters. This year-long internship is designed for students eager to apply their academic knowledge to real-world challenges in Formula 1, contributing to the development and deployment of data-driven solutions that impact car performance, race strategy, and engineering processes.

You will be part of a collaborative team of Data Scientists, Software Engineers, and Platform Engineers, working together to improve all areas of the team—from car design and manufacturing to performance analysis at the track.

The Role

• Support the development, testing, and deployment of machine learning and data science solutions under the guidance of senior team members.
• Assist in extracting insights from large datasets to improve car performance and operational efficiency.
• Contribute to the implementation of AI techniques and statistical models to solve complex engineering problems.
• Collaborate with engineers across departments to understand requirements and deliver data-driven solutions.
• Document and present findings clearly to technical and non-technical stakeholders.

The Person

If you are currently pursuing a BSc or MSc in Computer Science, Mathematics, Engineering, or a related field, and have a strong interest in data science and motorsport, we would love to hear from you!

We are looking for individuals who:

• Have experience with Python and its data science ecosystem (e.g., pandas, numpy, scikit-learn).
• Are familiar with machine learning concepts and techniques (e.g., regression, classification, neural networks).
• Have a proactive attitude and a willingness to learn in a fast-paced, high-performance environment.
• Possess strong analytical thinking and problem-solving skills.
• Can communicate effectively and work collaboratively within a team.

Preferred Skills (not required but advantageous):

• Experience with other programming languages such as C++, R, or MATLAB.
• Exposure to cloud platforms and deployment tools (e.g., Azure, Docker, GitHub Actions).
• Understanding of data pipelines and software engineering principles.

What We Offer

• A chance to work in a world-class motorsport environment.
• Mentorship from experienced data scientists and engineers.
• Hands-on experience with real F1 data and tools.
• Access to on-site facilities including gym, subsidised canteen, and more.
• The opportunity to contribute to the performance of a Formula 1 team.

Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves. We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc.