Join Our Team

We are the Audi Revolut F1® Team.

Audi Revolut F1 Team is the official factory team of Audi, competing in the FIA Formula 1 World Championship since Audi's entry into the sport in 2026.

The team is based across three strategic locations. The power unit is developed by Audi Formula Racing GmbH at the Audi Competence Center Motorsport in Neuburg, Germany, while the chassis is engineered and race operations are managed from the state-of-the-art facilities of Audi Motorsport AG in Hinwil, Switzerland. Complementing these operations, the Audi Motorsport Technology Centre UK in Bicester provides a foothold in the heart of Motorsport Valley, enabling direct access to top Formula 1 talent and key strategic partners. 

What you need? The mindset of an athlete. If you are someone for whom giving up isn’t an option and limits are just something to be overcome, you can bring Vorsprung durch Technik to Formula 1 with us. Become part of this unique project and make motorsport history.

This vacancy for the Audi Revolut F1® Team is based at Audi Motorsport AG in Hinwil, Switzerland.

Why Join Us?

Your mission

This is an exciting opportunity for a motivated student to gain hands-on experience in data analytics. You will work alongside experienced professionals and contribute to defined projects that support performance analysis and decision-making across car development and race operations. 

• Supporting day-to-day data analytics activities within Digital Solutions.
• Assisting with the development and testing of machine learning models.
• Supporting statistical, mathematical and simulation-based modelling.
• Helping package, deploy and maintain reusable analysis or simulation tools.
• Participating in code reviews, testing and documentation.
• Conducting research and analysis as required.
• Collaborating with team members and attending technical meetings.
• Presenting findings and contributing to reports.

Your profile

• Currently studying towards a degree in Computer Science, Data Science, Mathematics, Engineering or a related field.
• Good programming knowledge in Python; C++ is advantageous.
• Basic understanding of statistics, machine learning or simulation methods.
• Familiarity with software engineering principles such as object-oriented programming, version control or containerisation.
• Interest in reinforcement learning, multi-agent systems or computer vision is advantageous.
• Good analytical and problem-solving skills.
• Good communication and teamwork skills.
• Eagerness to learn, take initiative and manage time effectively.

We are an equal opportunities employer.

Apply now

Eligibility Criteria
Applications are open to candidates who can demonstrate and provide supporting evidence that they meet the following eligibility criteria: 

• You have the right to work in Switzerland
• You must be enrolled in a study programme and expect to graduate no earlier than three months before the end of your internship.
• You are available to work on-site in Hinwil, Switzerland for the full duration of the programme
• You are available to start the programme on 01.03.2027

 
Application Criteria
To ensure a fair review process, please submit only one application. If duplicate applications are received, only the first submission will be considered. Should you need to make any changes after applying, please respond to your confirmation email and our recruitment team will assist you.

Application Process
Applications close on 16.11.2026 at 23:00 CET. 
Interviews will take place in December, with final outcomes expected by the end of January.
Due to the high volume of applications, we’re unable to provide individual feedback.
We appreciate the time and effort invested in every application. However, due to the volume of applications received, we are unable to provide individual feedback. 
 
FAQ 
For further information, please see our Early Careers FAQ.