Top Companies Hiring Data Scientists in Mumbai
Top Companies Hiring Data Scientists in Mumbai: live data, real salary bands, top employers, and practical tips for job seekers in India. Updated regularly by
See which of these jobs match your resume →Data Scientist market · Mumbai
Openings by city observed · reliable
Top employers hiring live · deduplicated
| Company | Open roles |
|---|---|
| Housing.com | 4 |
| Morningstar | 3 |
| IDFC First Bank | 3 |
| Aivarinnovations | 2 |
| Mastercard | 1 |
| InCred Group | 1 |
| ICICI Lombard | 1 |
Salary Overview
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.
By Experience Level
| Level | Typical fixed (LPA) |
|---|---|
| Entry | 7-13 LPA |
| Mid | 16-26 LPA |
| Senior | 28-42 LPA |
| Lead+ | 38-55+ LPA |
By City
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.
Mumbai: Factor in cost of living vs Bangalore when comparing offers.
Negotiation Tips
- Anchor with data from 3+ offers or trusted peers at the same level.
- Negotiate fixed first; treat variable and ESOP separately.
- Ask for signing bonus if base is capped.
- Get the offer letter with break-up (basic, HRA, PF) before resigning.
- If competing offers exist, share timelines, not numbers, to accelerate decisions.
Total Comp Breakdown
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.
Market Snapshot
Mumbai has 17 active Data Scientist openings as of July 2026, based on knok jobradar data. This is a compact but quality-focused market. Bangalore leads nationally with 166 openings, followed by Delhi (46), Hyderabad (27), Pune (18), and Chennai (8). Mumbai's count is smaller, but the roles here lean heavily toward BFSI (banking, financial services, and insurance) and global capability centres (GCCs), which typically offer structured data science teams and competitive pay. If you are targeting Mumbai specifically, you are looking at a focused set of employers rather than a sprawling, high-volume market. The city's strength is specialisation, particularly for professionals with a background in financial data, credit risk, or insurance analytics.
Top Employers
The 17 openings in Mumbai are spread across nine companies, as tracked by knok jobradar.
| Company | Open Roles | Sector |
|---|---|---|
| housing | 4 | Proptech / Product |
| Morningstar | 3 | GCC / Financial Data |
| IDFC First Bank | 3 | BFSI |
| aivarinnovations | 2 | AI Startup |
| Mastercard | 1 | GCC / Global Payments |
| InCred Group | 1 | Fintech / NBFC |
| ICICI Lombard | 1 | Insurance |
| Capri Global Capital | 1 | NBFC |
| Aditya Birla Group | 1 | Conglomerate |
BFSI is the dominant cluster. IDFC First Bank, ICICI Lombard, InCred Group, and Capri Global Capital are all in lending, insurance, or financial services. If you have worked on credit scoring, fraud detection, or loan default modelling, you are aligned with what this group is hiring for.
GCCs offer global-standard work. Morningstar (financial data and research) and Mastercard (global payments) are both GCCs with parent-company hiring standards. Expect structured interviews and the opportunity to work alongside international data science teams.
Product and startup diversity. housing is a proptech product company where data science connects directly to user recommendations and property search. aivarinnovations is an early-stage AI startup, which typically means broader scope, faster pace, and potential equity alongside salary.
Salary Range
Salary bands for Data Scientists in Mumbai, drawn from knok jobradar data:
| Experience Band | Typical Range |
|---|---|
| Entry (0-2 years) | 8-16 LPA |
| Mid (3-5 years) | 18-30 LPA |
| Senior (6-9 years) | 30-48 LPA |
| Lead / Principal | 45-70+ LPA |
GCCs like Morningstar and Mastercard are publicly reported on levels.fyi to sit at the higher end within each band. BFSI firms are competitive at mid and senior levels, particularly for roles involving credit scoring or risk modelling. Startups like aivarinnovations may offer equity as part of the package alongside a base salary. These ranges reflect current active listings and should be treated as a directional guide rather than a complete market survey.
How To Stand Out
Mumbai's Data Scientist roles skew toward applied, domain-rich work rather than pure research. Here is what gives your profile an edge:
Lead with BFSI domain experience. The majority of active employers are in banking, insurance, or fintech. If you have worked on credit risk, fraud detection, loan default prediction, or insurance claims modelling, lead with those projects. If your background is in a different sector, translate your work into terms the finance hiring manager recognises: 'reduced false positive rate in transaction flagging' lands better than 'improved model precision'.
Show production readiness. Mumbai employers, especially banks and NBFCs, want to know your models can run in live systems. Highlight experience with model deployment, monitoring, or integration with core banking pipelines.
Prepare for GCC-style interviews. Morningstar and Mastercard follow interview processes shaped by their global teams. Expect questions on ML fundamentals, case studies, and sometimes system design for data pipelines. Studying publicly shared interview experiences for these companies is time well spent.
Build a real portfolio piece. A Kaggle notebook is a starting point, not a differentiator. A short write-up that shows a real problem, your modelling approach, the performance outcome, and the business impact is far more memorable to a Mumbai data team.
Application Strategy
With only 17 openings, Mumbai requires a targeted approach rather than a volume game.
Apply quickly. BFSI roles in Mumbai fill fast, especially at well-known institutions like IDFC First Bank and ICICI Lombard. Monitor listings daily and submit your application as soon as a role goes live.
Follow up directly. After applying on the job portal, find the data science team lead or HR recruiter on LinkedIn and send a short, specific message referencing your application. This is common practice in Mumbai hiring circles and improves your chances of getting noticed.
Customise your resume by sector. A resume for housing should highlight A/B testing, recommendation systems, and user behaviour analysis. A resume for IDFC First Bank should front-load risk modelling, regulatory compliance awareness, and experience with structured financial data. The same experience reads very differently depending on what you emphasise.
Track every role personally. With a small number of active openings, you can maintain a simple list covering every company, your application status, and the date you last followed up. Do not let any live opportunity go cold.
knok checks 150+ job sites nightly, applies to jobs matching your resume, and messages HR for you. When new Mumbai openings go live, this means you are already in the queue without manually monitoring every portal.
Salary figures combine disclosed CTC from knok's indexed postings with level benchmarks for the India market. We quote fixed LPA unless noted; variable and ESOP are called out separately. Updated 2026-07-06. Not individual financial advice.
- knok job index, 17 matching roles (snapshot 2026-07-06)
- Housing.com, 4 indexed openings
- Morningstar, 3 indexed openings
- IDFC First Bank, 3 indexed openings
- Aivarinnovations, 2 indexed openings
- Mastercard, 1 indexed openings
- Indexed job postings with disclosed CTC
- Level benchmarks (IC vs lead) for India tech
Frequently asked
Is Mumbai a good city for Data Scientists compared to Bangalore?
Bangalore has far more openings (166 vs 17 in Mumbai as of July 2026), so if volume of choice is your priority, Bangalore has the edge. But Mumbai offers a strong BFSI niche, proximity to global financial firms, and GCC roles at companies like Morningstar and Mastercard. If your background is in finance, insurance, or fintech, Mumbai's focused market can work in your favour because the applicant pool is more domain-specific rather than a broad general mix.
Which companies in Mumbai are hiring the most Data Scientists right now?
Based on knok jobradar data from July 2026, housing leads with 4 openings, followed by Morningstar and IDFC First Bank with 3 each. aivarinnovations has 2 openings. Mastercard, InCred Group, ICICI Lombard, Capri Global Capital, and Aditya Birla Group each have 1 opening. The total active count across all employers is 17 roles.
What salary can I expect as a Data Scientist in Mumbai?
Based on knok jobradar data, entry-level roles (0-2 years) range from 8-16 LPA, mid-level (3-5 years) from 18-30 LPA, and senior roles (6-9 years) from 30-48 LPA. Lead and Principal positions can go 45 LPA and above. GCCs like Morningstar and Mastercard are publicly reported on levels.fyi to pay at the higher end of each band, while BFSI firms are competitive at mid and senior levels for domain-specific roles.
Do I need a finance or banking background to get a Data Scientist job in Mumbai?
Not strictly, but it helps significantly given the current hiring mix. The majority of active openings are at BFSI companies where domain knowledge speeds up your ramp and makes you easier to hire. If your background is in another sector, focus on transferable skills: predictive modelling, time-series analysis, and structured data experience all map well. Roles at housing and aivarinnovations are less finance-specific and may suit candidates from product, e-commerce, or general ML backgrounds.
What technical skills do Mumbai Data Scientist roles commonly ask for?
Python and SQL are standard across all employers in this list. For BFSI roles, credit risk frameworks, statistical modelling, and regulatory awareness come up frequently in job descriptions. GCC roles at Morningstar often require quantitative finance knowledge alongside Python-based data analysis. housing and AI startup roles tend to emphasise machine learning, model deployment, and working with large-scale user data, and model monitoring in production is increasingly expected even at mid-level.
Should I also apply to other cities if I want more Data Scientist options?
Yes, if you are open to relocation or remote work. Bangalore (166 openings) and Delhi (46) have significantly more activity. Hyderabad (27) and Pune (18) are also more active than Mumbai. Being flexible on city greatly expands your pipeline, though Mumbai remains the right primary target if you have BFSI domain experience, since that is exactly where the local demand is concentrated.
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