Intern AI Solutions for Financial Services (f/m/x)
Skills
About the role
THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.
SHARE YOUR PASSION.
World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.
Our AI Solutions team for Financial Services at the BMW Group explores and pilots innovative AI use cases globally. Together with our IT counterpart team, we drive transformation and innovation across Financial Services through cutting-edge AI technology.
What awaits you?
You will support the development, experimentation, and evaluation of AI models for Financial Services with exposure to Agentic AI.
Furthermore, you help with architectural documentation and design discussions, contributing to building blocks that shape the AI landscape.
In addition, you gain hands-on experience in a dynamic team of AI Experts including Data Scientists and Machine Learning Engineers.
Moreover, you will assist in using and maintaining MLOps pipelines, tools, and BMW Group AI platforms to build reliable prototypes.
You also contribute to prototyping and piloting AI models that enhance and streamline Financial Services processes.
You will help collaborate with global stakeholders including IT, market experts, and business teams to gather requirements and share results.
Furthermore, you stay curious about AI technology trends and share insights with the team to help adopt new approaches.
What should you bring along?
Studies in AI, Data Science, Computer Science, Engineering, Physics, Mathematics or a related field.
Hands-on project experience from coursework, research, hackathons or prior internships; experience deploying projects is a plus.
Solid Python programming skills and familiarity with machine learning libraries; exposure to tools like MLflow is a plus.
Interest in GenAI and multi-agent AI architectures; exposure to frameworks like LangChain or LangGraph is a plus.
Familiarity with cloud concepts like AWS and Azure and MLOps fundamentals is a plus.
Experience with n8n or similar workflow automation tools is considered an advantage.
Business-level fluency in English; proficiency in German is a plus.
What do we offer?
Comprehensive mentoring & onboarding.
Personal & professional development.
Flexible working hours.
Mobile work.
Attractive & fair compensation.
Student apartments (subject to availability & only at the Munich location).
And much more, see bmw.jobs/whatweoffer
Start date: earliest start 24.08.2026
Duration: 6 months
Working hours: Full-time
You can find helpful tips on your application and the application process.
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.
Legal Entity:
BMW AG
Location:
Munich
Job Field:
Data Science
Job Id:
191936
Publication Date:
27.07.2026
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