Termgrid is rewriting the rules of private capital markets. We built the category-defining operating system for deal professionals — the platform where the world's most sophisticated private equity sponsors, lenders, and advisors manage every stage of their financing workflows.

Founded in 2019 by Dipish Rai (Harvard MBA, IIT, Columbia; ex-Providence Equity) and Vishal Singh (Columbia MS CS; ex-CTO Link3D, acquired by Nasdaq: MTLS), Termgrid has achieved what few fintech companies dream of: 4 of the top 5 global private equity firms trust us as their core technology partner. 1600+ institutions. 30,000+ professionals.

The Role
We are adding intelligent recommendations to the platform: quietly surfacing the most relevant connections, counterparties, and opportunities to users at the right moment, drawn from social signals (who is connected to whom, network activity) and transaction signals (who transacts with whom). The bar is subtle and genuinely useful discovery, not a salesy push.

You will be the first data scientist building this, from the ground up,



on data most companies would love to have. It is a build-and-own role for someone who ships.

Responsibilities

Build and own the first recommendation features, surfacing relevant connections, counterparties, and opportunities inside the product
Apply classical recommendation techniques well: team-oriented filtering, clustering, nearest neighbors, and standard ML models, on social and transaction data
Start simple, then layer in embeddings, similarity search, and ranking where they earn their place
Handle sparse data and cold-start for new users and entities
Keep recommendations subtle, relevant, and trustworthy: helpful discovery in a finance product, not a sales pitch. This is a product and UX judgment call as much as a modeling one
Own evaluation: offline metrics plus online experiments tied to real engagement and adoption, not vanity numbers
Partner with backend engineering on serving, and set light, useful ML p

📌 Data Scientist (India)
🏢 Termgrid
📍 India