Job Description
Time period
- From August / September 2026 for a period of 6 months
Tasks
- 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
- 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
- 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
- Enrollment in a degree program in Data Science, Business Informatics, AI-focused programs, or a related field
- Digital mindset/basic experience with AI (e.g., AI/ML frameworks)
- Affinity for data and experience in data analysis and interpretation
- Interest in the automotive and supply chain industries
- Good command of English
- Self-motivation and team spirit
Application documents
- Complete resume
- Letter of motivation
- Certificate of enrollment
- Transcripts, especially current grade reports
- For mandatory internships: 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
Do you have any questions?
[email protected]
+49 711 501-47574