Intern Data Analytics

Audi Revolut F1 Team; Zürich; On-site; CHF 20,000 - 33,000; Full time

Job summary

The Audi Revolut F1 Team is offering a hands-on data analytics internship in Hinwil, Switzerland. You will work with experienced professionals on performance analysis and race development projects.

You will contribute to day-to-day analytics, ML model testing, statistical and simulation-based modeling, and tool packaging. The role suits a motivated student pursuing CS/DS/Math/Engineering with Python experience.

Qualifications

• Currently pursuing a degree in Computer Science, Data Science, Mathematics, Engineering or a related field.
• Strong Python skills and basic C++ knowledge are expected.
• Familiarity with statistics or simulation methods is a plus.
• Knowledge of software engineering practices (version control, testing, containers) is desirable.

Responsibilities

• Support day-to-day data analytics activities within Digital Solutions.
• Assist with developing and testing machine learning models.
• Contribute to statistical and simulation-based modelling efforts.
• Package, deploy and maintain reusable analysis tools and scripts.
• Participate in code reviews, testing and documentation.
• Conduct research and analysis as required.
• Collaborate with team members and present findings in technical meetings.

Skills

Python

C++

Statistics

Version control

Containerisation

Reinforcement learning

Education

Bachelors in CS/DS/Engineering

Tools

Git

Docker

NumPy

Pandas

Scikit-learn

Job description

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.

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.