Inserat online seit: 2 Juni
Aufgaben der Stelle
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 teamDriving 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 fieldDigital mindset/basic experience with AI (., AI/ML frameworks)Affinity for data and experience in data analysis and interpretationInterest in the automotive and supply chain industriesGood command of EnglishSelf-motivation and team spiritApplication documents
Complete resumeLetter of motivationCertificate of enrollmentTranscripts, especially current grade reportsFor mandatory internships: University or college guidelines specifying the minimum durationFor non-EU citizens: Valid residence permit requiredBenefits
Attractive remuneration 35-hour week with flexible working hoursPaid vacation daysDiscounted lunch in the company restaurantFree parkingUrban environment with good transport connectionsIndividual support in the departmentAccompanying activities and student networkDo you have any questions?
+49 711 501-47574
