Intern Data Analytics

Audi Revolut F1; Zürich; On-site; CHF 17,000 - 28,000; Full time

Job summary

Audi Revolut F1 Team in Hinwil invites motivated students to gain hands-on experience in data analytics within Digital Solutions. You will work with experienced professionals on projects that support performance analysis and race operations.

You’ll help develop and test machine learning models, contribute to statistical and simulation-based work, and package reusable analysis tools. Strong Python skills and an eagerness to learn are essential; C++ is a plus.

Qualifications

• Currently studying towards a degree in Computer Science, Data Science, Mathematics, Engineering or a related field.
• Strong Python programming skills; knowledge of C++ is a plus.
• Basic grasp of statistics, machine learning or simulation methods.
• Familiarity with software engineering practices: OOP, version control, and containers.
• Interest in reinforcement learning, multi-agent systems or computer vision is advantageous.
• Strong analytical, problem-solving, and teamwork abilities.
• Excellent communication and time-management skills.

Responsibilities

• Support day-to-day data analytics activities within Digital Solutions.
• Assist with development and testing of machine learning models.
• Support statistical, mathematical and simulation-based modelling.
• Help package, deploy and maintain reusable analysis or simulation tools.
• Participate in code reviews, testing and documentation.
• Present findings and contribute to reports.

Skills

Python

C++

Statistics

Machine learning

OOP

Version control

Containerisation

Reinforcement learning

Computer vision

Analytical skills

Communication

Teamwork

Time management

Education

Pursuing degree in Computer Science/Data Science/Mathematics/Engineering

Tools

Git

Docker

Job description

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.

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.

Every lap is a statement, every start a promise. This is what defines us.