Data Analytics Intern - Motorsport ML & Insights

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

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.