Job Description
The R&D Data Science Team at our Hanover-Stöcken location is responsible for data-based support of research and development in the field of tires. To achieve this, we utilize a mix of self-service business intelligence solutions and modern machine learning techniques to provide our tire developers with advanced tools for the tires of the future.
Within this exciting work environment at our location in Hanover-Stöcken, we are offering a master thesis position (incl. internship) starting May 2026. For the best learning experience possible, the internship should require a duration of about 3 months.
Your tasks:
1. Develop effective strategies for presenting multiple, potentially conflicting predictions to tire developers
2. Define and evaluate combined performance metrics and optimization strategies that synthesize outputs from diverse models
3. Establish clear guidelines or decision rules to enable tire developers to interpret model results and select the best concepts based on the focus of development
Qualifications
4. Enrolled students (m/f/diverse) in the field of Wirtschaftsinformatik, Mathematik, Informatik or similar study programms
5. Ideally specialization in Data Science / Statistics or any quantitative focus
6. Initial practical experience in requirements gathering and documentation
7. Good knowledge in Python (or R)
8. Competent handling of common MS Office-applications
9. Fluent English language skills - written and spoken
10. German language skills are a plus
11. Ability to work in a systematic and well‑organized manner
12. Proactive communication
Please attach your current certificate of enrollment and also your current transcripts of records and an extract of certificate for a mandatory internship. Those documents are mandatory for processing your application. If available, please submit your valid residence permit as well as your work permit including the additional sheet.
Applications from severely handicapped people are welcome.
Additional Information
We offer the following benefits:
13. Insight into Data Science in a mature RnD environment
14. International and dynamic work environment
15. Shape the future of AI decision making
16. 100% member of our core team which exceeds classical intern tasks
17. Flexible working hours to fit your study schedule
18. A hybrid work environment – remote or on-site depending on team organization and tasks
19. Attractive remuneration
20. Qualified support from our specialists
21. Health-oriented workplace
If you are interested to learn more about this specific Continental location, you are welcome to visite our location page:
are important to us and make our company strong and successful. We offer equal opportunities to everyone - regardless of age, gender, nationality, cultural background, disability, religion, ideology or sexual orientation.