Top Companies Hiring Data Scientists in Delhi NCR

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.
Delhi NCR: 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.

Delhi NCR had 46 Data Scientist openings as of 8 July 2026, according to knok jobradar. That puts Delhi second only to Bangalore (166 roles) among major Indian cities, ahead of Hyderabad (27), Pune (18), and Mumbai (17). The Delhi market has its own character: a strong showing from analytics service firms and global capability centres (GCCs), plus a cluster of AI-native product startups that have set up shop in Gurgaon and Noida. This means you will find roles ranging from heavy SQL-and-dashboards analyst work at large enterprises, to cutting-edge LLM and computer-vision projects at startups. Whether you are a fresher or a lead-level professional, the pipeline is active right now.

Here are the top companies actively posting Data Scientist roles in Delhi NCR, with a note on what kind of employer each one is.

GCCs (Global Capability Centres) like Nielsen, Circle K, Mastercard, and Adobe are Indian arms of large multinationals. Work is typically scoped to one business domain, processes are mature, and compensation follows global bands. Analytics and IT service firms like EXL and Hanu hire in volume. The work involves solving business problems for multiple clients, which builds broad domain exposure quickly. AI product startups like Level AI and OneShot AI move fast, expect you to wear multiple hats, and are where you will most likely work on the newest technology stacks. Capri Global Capital (NBFC) and Analytics Training Hub (EdTech) represent verticals where data science demand has grown sharply in recent years.

Salaries for Data Scientists in Delhi NCR vary by experience level. The bands below are from knok jobradar data collected as of July 2026.

GCC employers like Mastercard and Adobe tend to pay toward the higher end of each band, according to publicly reported data on Glassdoor and levels.fyi. Startups may offer equity alongside a base that sits mid-band. Analytics service firms like EXL often start closer to the lower end for freshers but move upward fast for strong performers. If an offer feels low, check the role level carefully: a 'Data Scientist' title at a GCC typically carries a higher grade than the same title at a services firm.

Tailor your resume to the employer type. GCCs want to see evidence that you can handle scale, work with global stakeholders, and document your methods. Startups want to see that you shipped something end-to-end. Services firms want client impact, so quantify business outcomes wherever possible.

Show Python and SQL as non-negotiable basics. Delhi NCR job descriptions consistently ask for these two alongside a framework like scikit-learn, TensorFlow, or PyTorch. If you are applying to AI-native startups like Level AI or OneShot AI, familiarity with LLMs and prompt engineering has become a strong differentiator in 2025-2026.

Build a visible portfolio. A well-commented GitHub repository, a competitive Kaggle notebook, or a write-up on a real business problem you solved carries more weight than certifications alone. This matters especially for GCC roles where the hiring panel is technical.

Prepare for case rounds. Nielsen, Mastercard, and Adobe typically include a data case or take-home problem in their process. EXL and analytics services firms often use SQL and statistics tests. Know which kind of interview to expect and prepare for it specifically.

Network inside the GCC ecosystem. Delhi NCR has a dense community of data professionals at GCCs. LinkedIn posts, local meetups, and internal referrals matter here because the hiring circles at companies like Nielsen and Mastercard are relatively tight.

Start with the employers hiring the most. EXL Service has 6 openings right now, and Nielsen and Circle K have 4 each. Companies in an active hiring cycle move faster and are more likely to consider candidates who apply promptly.

Apply across more than one employer type. Do not limit yourself to only GCCs or only startups. Applying across the mix gives you real data on which interview process suits you best and increases your overall chances.

Apply even when you do not meet every requirement. If your profile meets most of the requirements listed, go ahead and apply. Hiring managers in Delhi often write aspirational job descriptions and hire on demonstrated ability and attitude.

Follow up after applying. A short, professional message to the hiring manager or recruiter on LinkedIn, referencing your application, gets noticed. This is especially effective at mid-size firms like Capri Global Capital or Hanu Software Solutions, where recruiters handle smaller pipelines.

Use every available channel. Company career pages, LinkedIn, Naukri, and direct referrals all surface different openings. knok checks 150+ job sites nightly, applies to jobs matching your resume, and messages HR for you, so you stay covered even when you are busy with interviews or a current job.