Aufgaben
We make the Mercedes-Benz brands desirable and relevant - with enthusiasm and passion!
The Mercedes-Benz Cars Communications & Marketing unit (MS/C) is responsible for the global conception, implementation and steering of all communication activities and advertising strategies of Mercedes-Benz Cars. We creatively steer our luxury brands across all customer touchpoints and efficiently optimize communication for our customers by means of data-driven and measurable activities. We do all that with the clear goal of creating and deepening our customers’ enthusiasm and desire for the brand.
If you are motivated to contribute to these exciting and diverse topics, are a strong team player, and enjoy a problem-solving and solution-oriented environment – then you’ve clearly come to the right place!
As part of the Digital Innovation & Data Factory team, you will be able to immerse yourself in a wide variety of data projects along the entire customer journey and have the chance to actively drive them forward. You will be part of the first central Data Factory in the Marketing & Communication unit and thus make a valuable and sustainable contribution to the digitization of the division and actively shape its cultural change. Agile working methods in a cross-functional team set-up offer the perfect working environment to drive the development of analytical products and use cases. In doing so, we pursue a clear vision: Through excellent in-house support for data projects, we will contribute to a desirable and data-driven brand presence.

Your tasks include:

• Actively participate and support in the implementation of Agentic AI and Generative AI projects in area of communication & marketing for Mercedes-Benz Cars, using methods from statistics, data science, and business intelligence for data analysis, evaluation, and visualization – from ideation to operationalization
• Collaborate with the team to design, develop, and implement agentic AI systems (e.g., autonomous AI agents, RAG pipelines, workflow orchestration)
• Develop and evaluate algorithms for traditional ML, advanced neural networks, and Generative AI applications to solve real-world business challenges
• Assist in the creation and implementation of AI-driven marketing and communication tools, including intelligent assistants, automated campaign optimization, and content generation
• Conduct experiments and benchmarks to assess the performance of different AI/GenAI architectures (LLMs, diffusion models, multimodal systems)
• Stay up-to-date with the latest advancements in Agentic AI, LLM orchestration, and Generative AI research, contributing insights and recommendations to the team
• Support the development of AI prototypes, POCs, and demos to showcase the business value of agentic and generative approaches
• Participate in team discussions, brainstorming sessions, and cross-functional knowledge-sharing activities

In a nutshell: Why is the Digital Innovation & Data Factory team the right fit for you?

• Many exciting projects of the entire marketing and communication area are waiting for you, which can be assigned specifically according to individual skillset and topic enthusiasm
• You will work with state-of-the-art data lake(house), analytics & AI technology with interfaces to cross-functional data teams from neighboring areas
• You can expect a great deal of creative freedom and many development opportunities, in a highly motivated and international team
• Regular team building measures, e.g. in the form of already established Learn & Teach sessions across the entire MXDC area
• Opportunity for flexible work arrangements (time and place): We are convinced that a healthy work life balance leads to better work results and strengthens the team spirit

Please note that this is a mandatory or combined (mandatory and voluntary) internship. Therefore, the internship must be fully or at least partially included in the study regulations. The duration of the internship should be six months (November 2025 to April 2026).
We are looking forward to your application!
Qualifikationen

Professional Qualifications:

• Currently enrolled in studies of Computer Science, Artificial Intelligence, Data Science, Business Informatics, Mathematics, or related fields with a strong focus on machine learning, statistics, or econometrics
• Hands-on experience in Data Science, AI/ML, or data-driven projects is a strong plus
• Knowledge and practical understanding of Generative AI frameworks (HuggingFace, LangChain, RAG pipelines, ComfyUI, or equivalent) and their application in real-world scenarios
• Familiarity with Agentic AI concepts (autonomous agents, multi-agent collaboration, LLM tool use, memory/long-context reasoning)
• Hands-on experience with Neural Networks, Transformers, Diffusion Models, and Large Language Models (LLMs)
• Understanding of vector databases (e.g., FAISS, Weaviate, Pinecone) and retrieval-based architectures
• Business fluent English language skills, German as a plus

Personal competences:

• Passion for data and using it to make sound data-driven business decisions in the digital marketing environment
• Creative drive, creative problem-solving skills and motivation to make a difference
• Strong teamwork skills and high motivation
• Willingness to learn and enjoy learning new areas of responsibility quickly
• High level of technical and digital understanding
• High analytical and conceptual skills
• Good communication and presentation skills

Additional information:
It doesn’t work completely without formalities. When sending your online application, please attach your CV, certificate of enrollment, current performance record, relevant certificates, if applicable proof of mandatory internship and the standard period of study (max. 5 MB) and mark your application documents as “relevant for this application” in the online form.
Please find the criteria of employment “here”.
Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.
We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: SBV-Zentrale@mercedes-benz.com
Please understand that we no longer accept paper applications and that there is no right to get your documents returned.
If you have any questions regarding the application process, please contact HR Services by e-mail at myhrservice@mercedes-benz.com or by phone: 0711/17-99000 (Monday to Friday between 10 a.m. to 12 a.m. and 1 p.m. to 3 p.m.).
Essenszulagen
Mitarbeiterhandy möglich
Mitarbeiterrabatte möglich
Mitarbeiterbeteiligung möglich
Mitarbeiter Events
Coaching
Flexible Arbeitszeit möglich
Hybrides Arbeiten möglich
Gesundheitsmaßnahmen
Betriebliche Altersversorgung
Mobilitätsangebote
KontaktMercedes-Benz AG
Am Wallgraben 11470565 StuttgartDetails zum Standort
Marc-Alexander Müller E-Mail: marc-alexander.mueller@mercedes-benz.com

• Actively participate and support in the implementation of Agentic AI and Generative AI projects in area of communication & marketing for Mercedes-Benz Cars, using methods from statistics, data science, and business intelligence for data analysis, evaluation, and visualization – from ideation to operationalization
• Collaborate with the team to design, develop, and implement agentic AI systems (e.g., autonomous AI agents, RAG pipelines, workflow orchestration)
• Develop and evaluate algorithms for traditional ML, advanced neural networks, and Generative AI applications to solve real-world business challenges
• Assist in the creation and implementation of AI-driven marketing and communication tools, including intelligent assistants, automated campaign optimization, and content generation
• Conduct experiments and benchmarks to assess the performance of different AI/GenAI architectures (LLMs, diffusion models, multimodal systems)
• Stay up-to-date with the latest advancements in Agentic AI, LLM orchestration, and Generative AI research, contributing insights and recommendations to the team
• Support the development of AI prototypes, POCs, and demos to showcase the business value of agentic and generative approaches
• Participate in team discussions, brainstorming sessions, and cross-functional knowledge-sharing activitie