INTERNSHIP DETAILS

Internship - Data Analytics

CompanyAudi Revolut F1 Team
LocationHinwil
Work ModeOn Site
PostedMay 6, 2026
Internship Information
Core 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.
Internship Type
intern / student
Company Size
1064
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Audi has almost won in every category of motorsport – now it’s time for Formula 1. From 2026, we will compete in the FIA Formula 1 World Championship with our own factory team. The new team has three locations. The Sauber Group's Formula 1 factory in Hinwil (Switzerland) is known for its innovative technologies and passion for racing, while Audi's Motorsport Competence Center in Neuburg an der Donau (Germany) is considered one of the most modern of its kind in Europe. Our recently opened Sauber Motorsport Technology Center in Bicester (UK) will extend the team's presence and influence within the global Formula One landscape, giving the team access to the world’s largest motorsport expertise and talent pool. Our Power Unit comes from Neuburg, while Hinwil is responsible for the development of the chassis and race operations with support from the UK. Popular on a global stage, highly emotional and technologically advanced – Formula 1 is a spectacular platform for the world’s most sophisticated racing cars and Audi wants to demonstrate "Vorsprung durch Technik" in this competitive environment. The decision to enter Formula 1 was driven by new regulations announced by the Fédération Internationale de l'Automobile (FIA). From 2026, sustainable synthetic fuels will be used while approximately 50% of the drivetrain’s power will be electric. Audi wants to actively support the transformation of what is by far the most important motorsport series. Have you got what it takes to write Audi’s next chapter in motorsport history? Our team is looking for passionate team members who can bring an athlete’s mindset to the mix. If you believe boundaries only exist to be broken and giving up isn’t an option, we would love to hear from you. Imprint: https://bit.ly/3D9tUyA
About the Role

Join Our Team

We are the Audi Revolut F1® Team.

Audi Revolut F1 Team is the official factory team of Audi, as the brand enters the FIA Formula 1 World Championship for the first time in 2026. 

The team is based in three locations: the power unit is developed by Audi Formula Racing GmbH at the Audi Competence Center Motorsport in Neuburg, Germany; the chassis is engineered and race operations are managed from the state-of-the-art facilities of Audi Motorsport AG in Hinwil, Switzerland; while the Audi Motorsport Technology Centre UK in Bicester, United Kingdom, provides a foothold in the heart of 'Motorsport Valley', with direct access to top F1 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 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.
Key Skills
Data AnalyticsMachine LearningPythonReinforcement LearningMulti-agent SystemsComputer VisionSoftware EngineeringC/C++Statistical ModellingSimulation-based MethodsObject-oriented ProgrammingVersion ControlContainerisationDevOpsRace DynamicsVehicle Dynamics
Categories
Data & AnalyticsEngineeringTechnologySoftwareSports & Recreation
Benefits
Practical Hands-on ExperienceMentorship And SupportExposure To Real Life F1 ProjectsNetworking OpportunitiesStructured Onboarding ProgrammeOngoing Learning SessionsWorkshopsInternal Training ResourcesRegular Feedback And Performance Check-ins