Data, analytics and ML jobs in Bengaluru: what's open and how to get one

Bengaluru's startup scene leans toward fintech (Razorpay, CRED, Groww, Zeta, Fi Money), commerce (Meesho), AI (Sarvam AI) and developer tools (Atlan, SigNoz, Hevo Data). For data, analytics and ml candidates that shapes both what's open and what the roles look like: the live panel beside this article lists every data role at a Bengaluru startup on the board right now, and the Bengaluru data jobs page shows the full ranked list.

Where these roles are

Startups in Bengaluru cluster in Koramangala, HSR Layout, Indiranagar, Bellandur and Whitefield, and that's where most data, analytics and ml hiring happens. Ask which office a role sits in before you accept — within Bengaluru the difference can be an hour a day.

What the roles look like

Data, analytics and ML at Indian startups covers analysts, data engineers, data scientists and applied AI/ML engineers. Titles vary more than the work does; read the responsibilities, not the title, and look for a stated salary range and a listed stack or toolset — both are signs the team knows what it needs. Our full data, analytics and ml guide goes deeper on levels and pay.

The interview loop

Expect SQL under time pressure and a metrics case for analytics; pipeline design for data engineering; a modelling or evaluation discussion for ML. One to three weeks end to end at a well-run company. Bring one project where you can explain the data, the decision and what happened afterwards.

Pay in Bengaluru

Fixed pay is what to compare across offers; treat variable as uncertain and ESOPs as upside (see the ESOP guide). Featured roles on this board must state a salary range, and the weekly hiring report tracks the median stated range across all open roles so you can anchor on real postings rather than survey averages. Cost of living in Bengaluru is covered in the Bengaluru guide.

Applying

Every listing links straight to the company's own application page — no account, no CV upload to us. Reply to scheduling emails the same day; startups run short loops and quiet candidates get dropped.