
Intern Data Science, Tech Excellence, Financial Services
BMW Group
internship
Posted on:
Location Type: Office
Location: Munich • Germany
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Job Level
About the role
- Support the development, experimentation, and evaluation of AI models for Financial Services, including exposure to Agentic AI.
- Help with architectural documentation and design discussions, contributing to building blocks for the AI landscape.
- Assist in maintaining MLOps pipelines, tools, and BMW Group AI platforms to build reliable prototypes.
- Contribute to prototyping and piloting AI models that enhance Financial Services processes.
- Support compliance activities by following processes, preparing documentation, and participating in model reviews and governance.
- Collaborate with global stakeholders to gather requirements, share results, and align work with strategic goals.
- Receive mentorship from experienced Data Scientists and Machine Learning Engineers.
Requirements
- Studies in AI, data science, computer science, engineering, physics, mathematics or a related field.
- Hands-on project experience from coursework, research, hackathons or internships; experience deploying projects is a plus.
- Solid Python programming skills and familiarity with machine learning libraries; MLflow experience is a plus.
- Interest in GenAI and multi-agent AI architectures; experience with LangChain or LangGraph is a plus.
- Understanding of core machine learning models and their evaluation.
- Familiarity with cloud concepts (AWS and/or Azure) and MLOps fundamentals is a plus.
- Business-level fluency in English; German skills are a plus.
Benefits
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Flexible working hours.
- Mobile work.
- Attractive & fair compensation.
- Apartments for students (subject to availability & only at the Munich location).
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonmachine learningMLOpsAI modelsGenAImulti-agent AI architecturesMLflowLangChainLangGraphmodel evaluation
Soft Skills
collaborationcommunicationmentorshipdocumentation preparationrequirements gathering