Top Companies Hiring Data Scientists in Pune

Data Scientist compensation in India varies by city, company stage, and whether the role is product, platform, or growth-focused. Fixed pay is quoted in LPA (lakhs per annum); variable pay and ESOPs are common at startups. Always clarify fixed vs CTC before negotiating.

Bangalore / Hyderabad: Highest volume of tech roles; senior Data Scientist bands at top of range.
Mumbai / Delhi NCR: Strong fintech and consumer; premiums for leadership roles.
Pune / Chennai: GCC and enterprise SaaS; competitive base, lower equity upside.
Pune: Factor in cost of living vs Bangalore when comparing offers.

1. Anchor with data from 3+ offers or trusted peers at the same level.
2. Negotiate fixed first; treat variable and ESOP separately.
3. Ask for signing bonus if base is capped.
4. Get the offer letter with break-up (basic, HRA, PF) before resigning.
5. If competing offers exist, share timelines, not numbers, to accelerate decisions.

CTC typically includes: Basic, HRA, special allowance, PF employer contribution, gratuity provision, and projected variable. Ask for in-hand estimate after tax. ESOPs at startups may not appear in CTC, model dilution and vesting cliff separately.

Pune has 18 active Data Scientist openings as of July 2026, per knok's jobradar. For context, Bangalore leads with 166 openings, Delhi has 46, Hyderabad 27, Mumbai 17, and Chennai 8. Pune's count is modest, but the roles here are concentrated and purposeful: a mix of MNC Global Capability Centres (GCCs), analytics services firms, and product-first startups. If you are based in Pune and comfortable with hybrid arrangements, this is a focused market worth targeting directly. Candidates open to relocation can also look at Bangalore or Hyderabad, where volume is much higher.

Ten companies are actively posting Data Scientist roles in Pune right now. Here is who is hiring and how many openings each carries.

The mix reflects three distinct tracks in Pune's Data Science market. NICE (enterprise tech) and Roche (pharma MNC) represent the GCC side: structured roles with global team exposure and interviews that typically go deep on statistical rigour. Zensar, Virtusa, and EXL Service are analytics and IT services companies, where you will generally work across multiple client verticals and industries. ZeMoSo Technologies, PubMatic, Kaleidofin, UsefulBI, and Deepintent lean product-first or startup in character, which usually means broader ownership, faster iteration, and closer contact with the business impact of your models. Knowing which track a company belongs to lets you tailor your pitch before you even apply.

Compensation for Data Scientists in Pune follows a clear step-up by experience level. The bands below are from knok's jobradar.

Pune salaries are commonly cited as slightly below Bangalore for equivalent roles, though the gap tends to narrow at senior and lead levels, especially within GCCs. Pune is also publicly reported as more affordable than Bangalore or Mumbai on rent and daily costs, so an offer here often carries more real-world purchasing power than the headline number suggests. At Lead and Principal levels in GCCs or well-funded product companies, industry surveys indicate compensation can reach toward the top of the 45-70+ band.

Pune's Data Science market runs across three tracks, and what impresses interviewers depends heavily on which type of company you are targeting.

GCC and services roles (NICE, Roche, EXL, Zensar, Virtusa): Depth matters here. Show work where you designed a rigorous experiment, communicated findings to a non-technical audience, and directly influenced a business decision. Cross-functional or global project experience is a strong differentiator. Roche in particular will value any exposure to clinical or life sciences data.

Product and startup roles (PubMatic, ZeMoSo, Kaleidofin, Deepintent, UsefulBI): Ownership is the keyword. Interviewers at these companies want to see that you took a problem from raw, messy data all the way to a deployed model and a measurable outcome. A detailed GitHub profile, a well-documented Kaggle project, or a personal data project with real-world results will carry more weight here than at MNCs. Adtech roles at PubMatic and Deepintent also look for familiarity with large-scale pipelines and real-time data processing.

Skills that appear consistently across all Pune Data Scientist postings right now: Python (pandas, scikit-learn), SQL, and hands-on experience with at least one cloud platform such as AWS or Azure.

Start by sorting the ten companies into the track that fits your background and goals (GCC, services, or product). Tailor your resume once per track rather than sending the same CV everywhere. A GCC-facing resume leads with statistical depth and stakeholder impact; a product-facing one leads with end-to-end ownership and deployed results.

For each company, search for the hiring manager or Data Science lead on LinkedIn and send a short, specific note referencing something concrete about their team or product. This lifts response rates noticeably and matters more at lean teams like Kaleidofin, ZeMoSo, or UsefulBI, where a direct message can sometimes bypass the applicant queue entirely.

Timing is important: with only 18 openings in Pune at any moment, individual roles fill quickly. Apply within the first week of a posting going live whenever possible. knok checks 150+ job sites every night, applies to roles that match your resume, and messages HR for you, so you do not miss an opening at companies like these before it quietly closes.