Intern Ai Engineering Customer Journey Analytics (F/M/X)
Our team at the BMW Group is responsible for the data-driven analysis and optimization of customer channels worldwide, including websites, apps, and dealer systems. With great passion, our analysts and data scientists help to continuously improve our products and the customer experience.
What awaits you?
Support working with modern large language models, LangChain/LangGraph, and develop innovative solutions for real business problems.
Gain experience with the complete lifecycle from data analysis through model development to deployment.
Help to build scalable data pipelines and gain practical experience with cloud platforms such as AWS, GCP, or Azure.
Contribute to applying machine learning, especially unsupervised learning, to real datasets and visualize your insights.
Assist in deploying and maintaining code in production environments and gain experience with AI-assisted coding tools.
Support international developer teams through coordination, communication, and fostering efficient teamwork and problem-solving.
What should you bring along?
Studies in computer science, business informatics, data science or a related field; master's preferred, bachelor's with experience also welcome.
Python skills and initial experience in software development.
Experience with relational databases and cloud platforms such as AWS, GCP, or Azure.
Enthusiasm for generative AI and enjoyment of data visualization and storytelling with numbers.
Desire to dive into new topics with a proactive mindset.
Experience with NLP, LangChain/LangGraph, large language models, data engineering, or machine learning is a plus.
Very good English skills; German fluency 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 date 01.10.2026
Duration: 6 months
Working hours: Full-time