Time period
1. From August / September 2026 for a period of 6 months
Tasks
2. Participation in current digitization projects and development of innovative digital solutions such as: AI-supported analysis tools for supplier quality data by automating the evaluation of 8D reports, quality complaints, and supplier audits to identify patterns, causes, and mitigation measures Intelligent supplier evaluation and risk monitoring systems by developing digital early warning systems for quality problems and supply chain disruptions, incorporating external data sources (market news, financial information, geopolitical factors) Automated reporting solutions for creating status summaries and risk assessments, as well as for supporting global decision-making processes
3. Working with quality data from our global supplier quality network and proven processes and tools such as Power BI, and further developing these together with the digitalization team
4. Driving data-driven decisions through data mining and data engineering: transforming raw quality data into actionable business insights and creating management-ready reports for operational and strategic decisions in supplier quality.
Requirements
5. Enrollment in a degree program in Data Science, Business Informatics, AI-focused programs, or a related field
6. Digital mindset/basic experience with AI (., AI/ML frameworks)
7. Affinity for data and experience in data analysis and interpretation
8. Interest in the automotive and supply chain industries
9. Good command of English
10. Self-motivation and team spirit
Application documents
11. Complete resume
12. Letter of motivation
13. Certificate of enrollment
14. Transcripts, especially current grade reports
15. For mandatory internships: University or college guidelines specifying the minimum duration
16. For non-EU citizens: Valid residence permit required
Benefits
17. Attractive remuneration
18. 35-hour week with flexible working hours
19. Paid vacation days
20. Discounted lunch in the company restaurant
21. Free parking
22. Urban environment with good transport connections
23. Individual support in the department
24. Accompanying activities and student network
Do you have any questions?
+49 711 501-47574