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Mercedes-Benz AG | Germany | 71xxx Sindelfingen | Student job | Part time - flexible / Home office | Published since: 30.09.2026 on stepstone.de ♿️

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


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: MER00048WR Since 1919, Sindelfingen has been writing automotive history. Today we are shaping the next stage of our digital transformation: business processes consistently rethink AI-first and replace manual activities with intelligent, automated processes. Our goal is not merely to digitize existing processes. Together with the specialist areas, we ask how processes using artificial intelligence and automation can be redesigned in principle. For this, we analyze existing manual business activities, identify optimization and automation potentials and gradually transfer these into intelligent digital process chains. We combine classic workflow automation with modern AI models and agentic approaches. As a working student, you work at the interface between specialist, process management and technology. You speak directly with process owners, understand their current work and develop new digital solutions together with our team. From the first process recording to the prototype to the implementation of an automated process chain, you can actively shape it. Among other things, we use technologies such as n8n, Microsoft Copilot Studio, Large Language Models (LLMs), AI Agents and Python. These challenges include: Recording and structured analysis of manual business processes together with process owners and departments

Identification of activities and process steps with high potential for AI-first optimization and automation

Development of new process concepts with the aim of transferring manual activities as far as possible into automated digital process chains

Development and implementation of automation and intelligent workflows with n8n and Microsoft Copilot Studio

Integration and application of AI models and large language models within complex process chains

Development and testing of prototypes, proof-of-concepts and AI agents for specific business applications

Cooperation with process owners, departments and other relevant stakeholders from the first idea to implementation

Documentation and structured evaluation of existing processes and the developed automation solutions

Evaluation of new technologies and approaches in the fields of Generative AI, Agentic AI and Workflow Automation

The activity can start from Q4 2026.

Studies in the field of economic engineering, economic informatics, economic psychology or a comparable degree programme

Good to very good knowledge and a strong interest in artificial intelligence and generative AI

Enthusiasm for questioning existing procedures and rethinking AI-first business processes

Interest in process automation, digital business processes and new technologies

Ideally first experiences with n8n, Microsoft Copilot Studio, Power Platform or comparable automation platforms

Understanding the use and possibilities of Large Language Models and AI models in business processes

Programming skills, in particular in Python, are advantageous

Communication strength and an open, extroverted occurrence, in particular in exchange with process owners and specialist areas

Ability to systematically capture, structure and translate complex or initially unstructured business activities into digital process logic

Structured, analytical and independent operation

High self-initiative, curiosity and joy in testing new technologies

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. People Solutions 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
71063  Sindelfingen
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

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