Working Student Sustainability Supply Chain & Responsible Sourcing

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Number: MER0003YYG Design the sustainable supply chain of the future with a focus on raw materials, CO2 management and AI-based analyses.

You want to combine technology and sustainability? Are you interested in responsible procurement, CO2 reduction, human rights and artificial intelligence? Then you're right with us! What is it? In the field of sustainability in the supply chain, we work to integrate ecological and social responsibility into global procurement processes. The focus is on both critical raw materials and climate-related challenges – taking into account current legal requirements (e.g. LkSG, CSDDD, CSRD, EU battery regulation). Our goal: identify risks in the supply chain, create transparency and derive effective measures – increasingly supported by artificial intelligence (AI) and data-based decision bases. Your tasks: Cooperation in the development and optimization of AI-based approaches in the supply chain – focusing on environmental and human rights issues Use, development and further development of modern tools (e.g. AI-based risk analysis or screening models) to identify ESG risks Working with the implementation of regulatory requirements and the creation of concept papers, presentations and decision templates with regard to the use of AI in the supply chain Cooperation with internal departments, external partners and, if necessary, NGOs or think tanks What we offer you: The opportunity to actively shape technology and sustainability at the interface Deep insights into global supply chains, ESG standards and transformation processes in purchasing Participation in future-relevant topics such as Responsible Sourcing, AI-based risk analysis and CO2 management A dedicated team, flexible working conditions (hybrid), attractive remuneration Design the sustainable supply chain of tomorrow – digital, transparent and responsible. The activity can begin from April 2026.

Studies in Computer Science, Business Informatics, Sustainability/Environmental Sciences, Economic Engineering, Geography, etc. Enthusiasm for AI, technology, sustainability and global supply chains Experiences in data analysis, programming (Python, R) and AI applications Analytical thinking, structured working and good communication skills Very good knowledge of German and English in word and writing Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate, giving the semester and proof of the regular study period. Please do not forget to mark your documents as ''relevant for this application' in the online form and note the maximum file size of 5 MB. Further information on the setting criteria can be found here. Disabled and equalized applicants are welcome! The severely disabled representative (sbv-sindelfingen@mercedes-benz.com) is happy to support you in the application process. HR Services will be happy to help you with questions about the application process. You can reach us by email via myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mo-Fr 10-12am & 13-15am).

Food supplements Employee handy possible Employee discounts possible Employee participation possible Staff Events Coaching Flexible working time possible Hybrid work possible Health measures Employment Mobility offers Parking space Business doctor Good connection Accessibility Child care Kantine, Café