5 days ago

Data Science Tech Excellence Intern for Financial Services

BMW Group

On Site
Intern
€20,000
Munich, Bavaria, Germany

Job Overview

Job TitleData Science Tech Excellence Intern for Financial Services
Job TypeIntern
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary€20,000
LocationMunich, Bavaria, Germany

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Job Description

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 Tech Excellence team at the BMW Group for Financial Services explores and pilots AI use cases globally. Together with IT, we drive innovation and transformation in Financial Services. As a Data Science Tech Excellence Intern for Financial Services, you will gain valuable experience in a dynamic, motivated, and agile team of AI experts.

What awaits you?

  • You will support the development, experimentation, and evaluation of AI models for Financial Services, including exposure to Agentic AI.
  • Furthermore, you help with architectural documentation and design discussions, contributing to building blocks for the AI landscape.
  • Moreover, you will assist in maintaining MLOps pipelines, tools, and BMW Group AI platforms to build reliable prototypes.
  • In addition, you contribute to prototyping and piloting AI models that enhance Financial Services processes.
  • You will support compliance activities by following processes, preparing documentation, and participating in model reviews and governance.
  • Furthermore, you help collaborate with global stakeholders to gather requirements, share results, and align work with strategic goals.
  • You will receive mentorship from experienced Data Scientists and Machine Learning Engineers.

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 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.

What do we offer?

  • 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).

Key skills/competency

  • Data Science
  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Python Programming
  • MLOps
  • Financial Services
  • GenAI
  • Agentic AI
  • Cloud Computing (AWS/Azure)
  • Model Evaluation

Tags:

Data Science Intern
Artificial Intelligence
Machine Learning
Financial Services
Python
MLOps
GenAI
Agentic AI
AWS
Azure
Model Evaluation
Prototyping
Data Analysis
Stakeholder Collaboration
Compliance

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How to Get Hired at BMW Group

  • Research BMW Group's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor. Understand their commitment to innovation and excellence in automotive and financial services.
  • Tailor your resume for data science: Customize your application to highlight relevant project experience in AI, machine learning, Python, and MLOps. Showcase your hands-on experience and any deployments.
  • Showcase technical expertise: Be prepared to discuss your Python skills, familiarity with ML libraries, and understanding of GenAI concepts. Highlight any experience with LangChain, LangGraph, MLflow, AWS, or Azure.
  • Demonstrate problem-solving skills: During interviews, articulate your approach to complex data challenges, your analytical thinking, and how you would contribute to AI model development and evaluation within a financial context.
  • Highlight collaboration and compliance: Emphasize your ability to work with global stakeholders, gather requirements, and contribute to documentation and governance processes, which are crucial for this Data Science Tech Excellence Intern role at BMW Group.

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