Internship - Data Analytics at Audi Revolut F1 Team

Hinwil, Zurich, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

04 Aug, 26

Salary

0.0

Posted On

06 May, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Machine Learning, Python, Reinforcement Learning, Multi-agent Systems, Computer Vision, Software Engineering, C/C++, Statistical Modelling, Simulation-based Methods, Object-oriented Programming, Version Control, Containerisation, DevOps, Race Dynamics, Vehicle Dynamics

Industry

Motor Vehicle Manufacturing

Description

Join Our Team We are the Audi Revolut F1® Team. Audi will compete in the FIA Formula 1 World Championship starting in 2026. The team has three locations. Audi's Motorsport Competence Center in Neuburg, Germany, is considered one of the most modern of its kind in Europe. The Formula 1 Factory of Audi Motorsport AG in Hinwil (Switzerland) is known for its innovative technologies and passion for racing. The Audi Motorsport Technology Centre in the UK, is in its launch phase and growing continuously. Our power unit comes from Neuburg, while Hinwil is responsible for chassis development and race operations. 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 position for the Audi Revolut F1® Team is based at Audi Motorsport AG in Hinwil, Switzerland. Why Join Us? Practical, hands-on experience in a professional Motorsport environment Mentorship and support from experienced colleagues Exposure to real life F1 projects and business challenges Development of key employability skills Networking opportunities across the business Training & Development Structured onboarding programme Ongoing learning sessions / workshops Access to internal training resources Regular feedback and performance check-ins Your mission This is an exciting opportunity for a motivated student to gain hands-on experience in data analytics. You’ll work alongside experienced professionals and contribute to real projects that make an impact. Supporting day-to-day data analytics activities within the Digital Solutions department including Development and implementation of machine learning models and training algorithms to support performance and decision-making processes across the car and race operations Modelling real-world dynamics using statistical, mathematical and simulation-based methods Assisting on packaging, deploying and maintaining simulation tools as robust, reusable software components and APIs Participating in code reviews, testing, documentation and continuous improvement of software systems Conducting research, analysis, or data entry as required Collaborating with team members and attending meetings Presenting findings or contributing to reports Learning and applying new skills relevant to the role Your profile Currently studying towards a Master’s degree in Computer Science, Data Science, Artificial Intelligence or related field Basic knowledge of race dynamics, aerodynamics and vehicle dynamics Familiarity with software engineering principles (object-oriented programming, version control, containerisation and/or DevOps workflows) is beneficial Strong understanding of reinforcement learning problems and algorithms Hands-on experience in the context of multi-agent systems is advantageous Knowledge of computer vision problems and algorithms is advantageous Proficient in Python (C/C++ is advantageous) Good communication and teamwork skills Eagerness to learn and take initiative Ability to manage time and meet deadlines We are an equal opportunities employer. Apply now Eligibility Criteria Right to work in Switzerland (EU/EFTA citizenship or Swiss work permit) Available for the full 12 months of the programme Flexible start date before 01.09.2026 Internship as part of your study programme Studying a degree in Mechanical Engineering or related field Application Process Interviews will take place in June & July with final outcomes expected by the end of July. Due to the high volume of applications, we’re unable to provide individual feedback.

Responsibilities

Develop and implement machine learning models and simulation tools to support performance and decision-making for car and race operations. Collaborate with the Digital Solutions department to conduct research, analyze data, and present findings in reports.