Data science jobs in Venture Capital and Private Equity Principals industry

Data Science in Venture Capital and Private Equity

VC and PE firms use data science to source deals, score companies, model portfolio performance, benchmark against market comparables, and analyse alternative signals such as web traffic, hiring trends, and patent filings.

Common roles

Investment data scientists, deal sourcing ML engineers, portfolio analytics researchers, and data engineers building alternative data pipelines are active roles at data-forward investment firms.

Key skills

Python, SQL, NLP for company intelligence, graph analytics for network deal sourcing, financial modelling, and experience with alternative data providers and investment data platforms are valued.