UVC Partners: Data & AI - Master Thesis / Internship (f/m/x)

About us UVC Partners is one of Europe’s leading early-stage venture capital firms. With our fourth fund generation of €250 million, we invest in disruptive B2B startups at the seed and Series A stage across Europe. Our focus areas include enterprise software, mobility, and industrial technologies.

Headquartered in Munich and closely integrated with UnternehmerTUM, Europe’s largest entrepreneurship center, we are proud partners to some of Europe’s most ambitious founders – including Flixbus, Isar Aerospace, finn. auto, Proxima Fusion, and Aleph Alpha.

At UVC Partners, we’re driven by a deep passion for entrepreneurship and its power to positively shape society. Environmental and social responsibility are core to our DNA. We hold ourselves to the highest standards in everything we do.

As a firm, we continuously reinvent ourselves to stay ahead and best serve our portfolio and investors. We believe in ownership over hierarchy and foster a culture built on collaboration, curiosity, and personal engagement.

And while we’re serious about our mission, we also genuinely enjoy working together and building lasting relationships along the way.

Your mission You will join a specialized team working at the intersection of applied research and venture capital, side by side with investors, AI researchers, and engineers building the backbone of our investment intelligence. This is a hands-on role with real stakes.

You will be treated as a full member of the team, expected to take a research question from literature to a working prototype and to present your results to the people who make the investment decisions.

Your profile You are enrolled in a Master’s program in Computer Science, Data Science, Data Engineering, Information Systems, or a similar program at a top university. You bring depth, or the ambition to build it, in at least one relevant toolkit, whether that is graph ML and graph databases (e. g.

PyTorch Geometric), LLM tooling, tool use and evaluation, or probabilistic m