Data Scientist Salary in Hyderabad (2026)

Most job listings in India skip the salary entirely. As of 2026-07-08, knok jobradar found 27 Data Scientist openings in Hyderabad across 150+ job sites, and the vast majority came with no pay range attached. That makes benchmarking your worth genuinely difficult before you sit across from a hiring manager.

The figures below are drawn from knok jobradar data. For a Data Scientist in Hyderabad, pay spans from 8 LPA at the entry level all the way to 70+ LPA for lead and principal roles. That is a wide range, and where you land depends on your years of experience, the specific tools you work with, and the type of company, whether that is a product startup, a global capability centre (GCC), or an IT services firm.

Hyderabad has become a serious data science market. Pharma tech, fintech, and large GCCs are all hiring here. The city's cost of living is lower than Bangalore's, which has historically kept salaries a notch below, though industry surveys suggest the gap has been closing in recent years.

The four broad experience bands below come from knok jobradar data for the Data Scientist role. These are indicative ranges. Your actual offer will move within the band based on the employer, your interview performance, and how rare your skill set is.

Entry level (0-2 years): Fresh graduates and those switching into data science from adjacent roles like analytics or software engineering typically land in the 8-16 LPA range. Roles at this level focus on model building under supervision, data cleaning, and writing SQL.

Mid level (3-5 years): With a couple of production ML systems under your belt, the market pays 18-30 LPA. At this stage, companies expect you to own a project end-to-end, from problem framing through to deployment.

Senior level (6-9 years): The 30-48 LPA band reflects both deep technical skill and the ability to mentor junior data scientists. GCCs and product companies tend to pay toward the top of this range.

Lead and Principal: Roles at 45-70+ LPA come with cross-team scope, hiring responsibility, and often a seat at the strategy table. These positions are less common but do appear in Hyderabad's GCC and tech startup ecosystem.

Hyderabad accounts for 27 of the openings tracked by knok jobradar as of 2026-07-08. Bangalore leads the national market by a wide margin. Here is how the active job count breaks down across India's main tech cities.

Bangalore's dominance reflects its density of product companies and well-funded startups. Delhi's count is driven by the growing number of GCCs and fintech firms across the NCR region. Hyderabad ranks third, which is a strong position for a market that has added considerable tech infrastructure over the past few years.

On pay differences across cities, Glassdoor and levels.fyi data commonly cited by professionals suggest Bangalore commands a premium over Hyderabad, particularly at the senior and lead levels. If you are open to relocating, Bangalore is worth considering for roles in the higher experience bands. That said, Hyderabad's lower cost of living means your take-home often stretches further on a comparable salary.

Know your band before you walk in. Use the ranges in this guide to anchor your expectation. If you are a mid-level Data Scientist, the market band is 18-30 LPA. Do not accept an offer below the floor without a clear non-salary reason such as equity upside, learning opportunity, or employer brand.

Let the employer name a number first. When asked for your salary expectation early in the process, it is fair to say you would like to understand the full compensation structure before quoting a number. This avoids anchoring yourself too low before you know what is on the table.

Negotiate the full package, not just base. Variable pay, joining bonus, and stock options (where applicable) are all negotiable. A company that cannot move on base may still have room on a signing bonus or an accelerated vesting schedule.

Use competing offers as leverage, honestly. If you have another offer, say so and share the number. Most hiring managers will try to match rather than lose a strong candidate at the final stage.

Do not undervalue niche skills. If you know MLOps, time-series forecasting at scale, or NLP applied to Indian languages, these are harder to hire for and justify asking toward the top of your experience band.

Get the offer in writing before you resign. Verbal commitments are not binding. Wait for the formal offer letter before giving notice at your current employer.

Base salary is what most people compare, but total compensation for a Data Scientist in Hyderabad typically includes several other components worth understanding before you weigh two offers against each other.

Base salary is the fixed monthly amount, and all the LPA figures in this guide refer to base unless otherwise noted. It is the most stable and directly comparable number across offers.

Variable pay and performance bonus: Most mid-to-senior roles include a variable component. Industry surveys commonly cite this at 10-20 percent of base for individual contributors at product companies, though the actual payout depends on both company performance and individual targets in any given year.

Stock options or RSUs: GCCs and product startups increasingly offer equity. For publicly listed companies, RSUs vest over a schedule commonly cited as 3-4 years with a one-year cliff. For pre-IPO startups, the value is uncertain but can be meaningful if the company grows.

Joining bonus: Some companies offer a one-time payment to offset what you give up by leaving your current employer early, especially when your notice period is long or you are surrendering unvested equity.

Other benefits: Health insurance for your family, a certification or learning budget, internet reimbursement, and meal allowances vary widely. At mid-to-senior levels, health cover and a learning budget are worth explicitly asking about during negotiation.

When comparing two offers, convert everything to an annualised figure to get a true like-for-like picture. A lower base with a healthy bonus target and RSUs can outperform a higher base with no variable component, once you factor in company performance and vesting timelines.

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