Internship Machine Learning and Data Science (m/f/d)
Internship Machine Learning and Data Science (m/f/d)
Internship Machine Learning and Data Science (m/f/d)
Internship Machine Learning and Data Science (m/f/d)
MAHLE
Automobile und Zweiräder
Stuttgart
- Art der Beschäftigung: Studierende
- Hybrid
Internship Machine Learning and Data Science (m/f/d)
Über diesen Job
Internship Machine Learning and Data Science (m/f/d)
Together, we move the world—we’ve been doing it for over 100 years. At MAHLE, as a leading international development partner and systems supplier to the automotive industry, we pursue the objective of making mobility more efficient, more environmentally friendly, more convenient, and more economical. As part of our dual strategy, we are working both on the intelligent combustion engine for the use of hydrogen and other nonfossil fuels and on technologies for fuel cells and e-mobility.
MAHLE generated sales of €11.3 billion in 2025. Employing just under 65,000 people at 127 production locations and 11 technology centers, the company is represented in 28 countries. (as at: 12/31/2025). Join our MAHLE team! #weshapefuturemobility
Time period
- From February/March 2027 for a period of 6 months
Tasks
- Supporting proof-of-concept development for new digital products
- Developing and validating AI methods in Python
- Analyzing and preparing technical data for machine learning models
- Evaluating emerging trends in AI and data analysis
Requirements
- Currently, purely voluntary internships cannot be offered
- Currently pursuing a degree in Data Science, Artificial Intelligence, Electrical Engineering, Computer Science, or a related discipline
- Foundational knowledge of machine learning and artificial intelligence techniques
- Hands-on experience with Python and widely used data analysis libraries
- Strong interest in technical systems, digital technologies, and data-driven solutions
- Self-motivated, proactive, and able to work independently
Application documents
- Complete resume
- Letter of motivation
- Certificate of enrollment
- Transcripts, especially current grade reports
- University or college guidelines specifying the minimum duration
- For non-EU citizens: Valid residence permit required
Benefits
- Attractive remuneration
- 35-hour week with flexible working hours
- Paid vacation days
- Discounted lunch in the company restaurant
- Free parking
- Urban environment with good transport connections
- Individual support in the department
- Accompanying activities and student network
SABINE.PASSEK@MAHLE.COM
+49 711 501-47574
Depending on the job profile and personal situation of the employees, MAHLE offers the possibility of flexible working, for example through home office. This is how we support our employees in balancing their professional and private lives.
Facts about the job
Stuttgart, DE, 70376
Closing date for applications
Don't waste any time, apply while the position is online.
Your future at MAHLE
As a team player and someone who thinks ahead, you can deploy all your skills with us. In cooperation with colleagues from different countries and areas, you contribute in designing the mobility of the future. When selecting MAHLE, you choose trend-setting technologies and strategies. Are you interested in working with us and developing efficient and environmentally-friendly solutions, optimising existing products, and turning innovative ideas into reality? Then MAHLE is the right address for you.
Shape the future with us.