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:
o 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
o 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)
o 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?
SABINE.PASSEK@MAHLE.COM
+49 711 501-47574