0Student for Master's thesis in the field of Advanced Analytics & AI in Purchasing
Mercedes-Benz AG | Germany | 71xxx Sindelfingen | Temporary contract | Full time / Home office | Published since: 22.05.2026 on stepstone.de ♿️

Student for Master's thesis in the field of Advanced Analytics & AI in Purchasing

Branch: Automotive, aeronautic, aer... Branch: Automotive, aeronautic, aerospace and ship building


Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER00042ZK

Your tasks • Your profile • What we offer

Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER00042ZK The way buyers prepare and conduct negotiations is a fundamental change. Negotiations in purchasing are complex, contextual and decisive for the success of the company – and yet You are hardly digitally supported. New technologies open up the opportunity for buyers: to support them in the preparation and implementation of negotiations in a targeted manner: from situation analysis to situational strategy recommendation. In this field of tension between strategic negotiation and digital innovation, your final work is created. At Mercedes-Benz, we work to bring together a previously fragmented digital working environment in purchasing into a seamless, intelligent platform. In this innovation project, we think the entire user journey of buyers: new – and an AI-based system for negotiation support is one of the central innovations we want to establish. You work directly in the team, embedded in a modern, cloud-based technology stack. You don't just want to study theory, but to develop real solutions? Become part of our team of shopping digitizers, data enthusiasts and AI pioneers, which jointly shape the procurement of the future. The following exciting tasks await you as a final candidate*in: Analyzing the state of the art on AI agency networks, Large Language Models in the enterprise context and AI-based negotiation support in the procurement – creating the scientific foundation of your work You raise and structure requirements in close coordination with the team and translate the real needs of buyers into a clear technical and professional target image You design a digital system for negotiation support in purchasing – which technologies and applications are useful, you will develop on the basis Your analysis itself - the focus is on a concept that evaluates the initial situation and the competitive environment of a negotiation and helps buyers to implement the right strategy at the right time You integrate your concept into the existing cloud-based infrastructure and define data flows as well as interfaces to existing systems You optionally implement a proof-of-concept of individual agent components and make the concept tangible and evaluable You define appropriate metrics and evaluation criteria for the performance of the system and systematically apply them You document your results and guide concrete action recommendations for productive use The final topics will be discussed with the university, you and us. The activity can begin from July 2026.

Ideally, you bring the following: Advanced Master's degree in Business Informatics or Industrial Engineering – alternative Business Administration with focus on digitization, supply chain or purchasing First knowledge in negotiation, negotiation strategies or game theory – whether from study, seminar work or practice Basic knowledge of purchasing processes or supply chain management Basic knowledge of programming, ideally in Python Interest in digital solutions and willingness to independently evaluate suitable technologies Very good German and good English in word and writing That's what you're saying: Programming skills, preferably in Python Experience with data-driven systems or cloud architectures Knowledge of Prompt Engineering, Large Language Models or Multi-Agent Frameworks Interest in UX/UI conception or human computer interaction Personal competencies: You take responsibility for yourself – this also includes a self-accepting chair at a university or college of applied sciences You think structured and conceptual, even in complex and open questions You communicate clearly and sovereignly – even to non-technical stakeholders You bring true curiosity for new technologies and are interested in the interface between AI and human decision-making You work scientifically precise and do not lose sight of the practical benefits What we offer Real effect: Your work flows directly into a current innovation project and can change the everyday working day of buyers: Team: You are part of a dedicated team, you have strong contacts and are closely accompanied by content Standard market remuneration for the duration of the final work Network: Insights into the purchasing organization of one of the world's leading automotive manufacturers and direct contact with experts: women from digitalization, data engineering and AI Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate with a specification of the semester, if necessary. Compulsory internship certificate 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

Location

ava Mercedes-Benz AG
71065  Sindelfingen
Germany

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