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