🎓 Master Thesis Opportunity | Venture Capital & Data Science We believe many of the most promising companies are not fundraising . They’re profitable, focused, and flying under the radar.
We’re looking for a Master’s student to explore how successful startups actually scale — and how early signals of that success can be identified before companies show up in VC deal flow.
The thesis will focus on: Analyzing successful startups & scale-ups Extracting patterns, KPIs, and early growth signals Building a data-driven model to identify scalable, bootstrapped companies If you’re curious about venture capital, data, and what truly makes companies succeed — let’s talk. 📩 DM me or reach out via EMAIL Master Thesis (m/f/d) Data-Driven Identification of Scalable Startups | Venture Capital Description: We are a venture capital fund focused on backing scalable B2B technology companies.
For a Master’s thesis, we are seeking a student to research how successful startups scale and how early indicators of scalable success can be identified in bootstrapped companies that are not actively fundraising.
The thesis will involve analyzing growth patterns, structures, and KPIs of successful startups and developing a data-driven or data-supported framework to identify similar companies at an early stage.
Your profile
- Master’s student in Data
- Science, Business
- Analytics, Entrepreneurship, Computer
- Science, Economics, or a related field
- Strong analytical skills and interest in startups and venture capital
- Ability to work independently in a research-driven, practical environment
What we offer
- Paid Master’s thesis with high practical relevance Close collaboration with an operator-led venture capital team
- Flexible working setup and real-world application of your research
- Application: Please contact us via EMAIL. We are a venture capital fund focused on backing scalable B2B technology companies. #J-18808-Ljbffr
