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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: MER00044CZ Mercedes-Benz Group AG is one of the most successful automotive companies in the world. With Mercedes-Benz AG and Mercedes-Benz Cars and Mercedes-Benz Vans, the vehicle manufacturer is one of the largest and most successful suppliers of premium cars. Our department is responsible for Systems Engineering and Module Management. Systems Engineering complements the traditional component-oriented development of Mercedes-Benz vehicles with a function-oriented working model. With our partners, we are already creating a prerequisite for transparency about customer functions in the products at the early stage of vehicle development. To this end, we accompany the series projects from the definition of vehicle functions, the development process to the release and series support. We live regular exchanges on direct communication and voting. Our team will look forward to your support. These tasks come to you: Identification and analysis of AI-relevant data sources within the processes Systems Engineering and module strategy Evaluation of data quality, structure and usability for data-driven and AI-based applications Conception of technical approaches to the processing, processing and integration of heterogeneous data sources Development and development of AI-use-cases for intelligent use of data (e.g. analytics, automation, decision support) Considering the methodological interconnection of systems engineering and module strategy in the design of the AI solutions Support in converting concepts into prototypical implementations (e.g. analyses, models, proof-of-concepts) Cooperation with interdisciplinary teams from IT, engineering and disciplines to coordinate requirements and solutions What we offer you: Get deep insights into the development and implementation of AI-based solutions within the IT and engineering processes of a premium automotive manufacturer You work with real technical data, system and functional portfolios and gain a sound understanding of the digital and intelligent capabilities of future vehicle generations From the outset, you take on independent and responsible tasks in the area of Data Analytics, Machine Learning and AI application You apply your theoretical IT and AI knowledge in a practical way and expand it through concrete use cases and development projects You benefit from a close technical support as well as a direct exchange with experienced experts from IT, data analysis and engineering You work interdisciplinaryly with different disciplines and gain insights into modern, agile development and project structures The activity can begin flexibly from August 2026 and a master's thesis is then possible.

You are an immatricated student (m/w/d) of Computer Science, Business Informatics, Data Science, Mechanical Engineering or a comparable degree course You have well-founded knowledge in data science and machine learning, in particular in data-driven analysis and modeling approaches First practical experience with programming languages such as Python as well as data analysis and BI tools (e.g. Pandas, SQL, Power BI, etc.) will bring you ideally with A good understanding of data pipelines, data quality and structured data models is an advantage for the basic knowledge of ML methods (e.g. classification, clustering, NLP or regression)

You have a strong technical and analytical understanding and joy in complex problems You work structured, independent and result-oriented You are team-ready, strong and motivated to learn new technologies and frameworks quickly You are passionate about artificial intelligence and want to actively contribute to the implementation of innovative, practical AI solutions 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).

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