The Mercedes-Benz Group AG is one of the most successful automotive companies in the world. Together with Mercedes-Benz AG, the vehicle manufacturer is one of the largest providers of premium and luxury cars and vans.
The team “Data & AI Lab After-Sales” is responsible for data, advanced analytics and AI topics in After-Sales including the roles of the data architect and AI architect.
What this is about
Data and AI have the highest strategic priority for us at Mercedes-Benz to be prepared for tomorrow's challenges. Join us in shaping the future of After-Sales by designing and implementing innovative AI and data solutions with real business impact.
Your tasks:
- Collaborate with experienced Data & AI architects and contribute to strategic architecture initiatives in a global enterprise environment:
- Support architecture discussions, workshops and decision-making processes
- Create stakeholder-ready presentations and architecture artefacts
- Help drive Data & AI governance and architecture initiatives
- Collaborate with engineering, business and data teams across the organization
- Own and deliver an independent deep-dive project with a focus on both architecture and implementation (topic to be selected during the interview process or at the start), e.g.:
- Automation of knowledge bases using LLM-based approaches
- Automation in metadata management / data governance
- AI-supported alerting automation for portfolio management
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Intern Enterprise Data & AI Architecture (Mandatory Internship) Internship
Aim and Benefits of Intern Enterprise Data & AI Architecture (Mandatory Internship) Internship
- Meal allowances
- Employee mobile phone possible
- Employee discounts possible
- Employee participation possible
- Employee events
- Coaching
- Flexible working hours possible
- Hybrid working possible
- Health measures
- Company pension scheme
- Mobility benefits
- Parking
- Company doctor
- Good transport connections
- Accessibility
- Childcare
- Canteen, café
Start date: 01.10.2026
Requirements for Intern Enterprise Data & AI Architecture (Mandatory Internship) Internship Qualification
- Studies in Computer Science, Industrial Engineering, Business Informatics, Data Science, AI/Machine Learning — ideally with a focus on ML/AI or Data Engineering
- Solid command of Python
- Experience with Git/GitHub
- Hands-on experience with AI technologies and LLMs (e.g. via APIs, LangChain, etc.) is a plus
- Experience with Databricks is a plus, but not required
- Architecture/implementation experience from studies, open-source, or hobby projects is sufficient — no professional experience required
- Interest in responsible AI, governance and emerging AI regulations (e.g. EU AI Act)
- Strong communication skills, ability to work independently, curiosity for new topics
- Very good English skills - German is a plus
Application Deadline
Not SpecifiedHow to Apply
For more information, kindly visit Mercedes-Benz scholarship webpage.