Salary data

Data salary in India (2026)

How much does a data earn in India?

The median data salary in India is ₹5L per year (₹5,00,000), with most roles paying between ₹4.5L and ₹5.5L and the full range spanning ₹1.5L to ₹27L. This is computed live from 84 data jobs on OnJob.io that disclose pay — real current listings, not a generic survey.

Check if my pay is fair See live data jobs

Updated September 2026 · Indicative band from OnJob's live job feed

Data salary range in India

Lowest ₹1.5L 10th-percentile floor
Typical low (p25) ₹4.5L lower quartile
Median ₹5L the middle salary
Typical high (p75) ₹5.5L upper quartile
Highest ₹27L top of the range

Half of all data roles on OnJob pay above ₹5L and half below. The middle 50% — the typical band most candidates can expect — runs ₹4.5L to ₹5.5L per year.

By city

Data salary by city

Median annual pay from OnJob's live data listings in each city (cities with at least 3 priced roles).

City Median (₹/yr) Priced roles
Hyderabad salary → ₹7L (₹7,00,000) 4
Mumbai salary → ₹4L (₹4,00,000) 4
Kolkata salary → ₹5L (₹5,00,000) 3
How we calculated this

Where these numbers come from

Every figure on this page is aggregated from 84 live data jobs on OnJob.io that openly disclose pay. We take each listing's salary, convert it to an annual INR amount, and report the minimum, quartiles (p25/p75), median and maximum across them. We only count roles priced in INR, and we drop any value that falls outside a sane band so a single typo can't skew the result.

These are indicative market ranges, not guaranteed offers. Because the band is drawn from current openings, it updates automatically as data jobs are posted or expire — so it reflects what employers are paying right now, not a year-old survey. Your own number depends on your experience, skills, city and company tier.

Full method, quality gates and limits: our editorial standards & data methodology.

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The proof

Live data jobs behind this number

A sample of the real OnJob listings feeding the band above. See the pay on each — then your AI match score and fairness verdict once you sign up.

₹10,00,000–₹12,00,000

Data Scientist

Appsierra Group

Pune, Maharashtra-22, India-101

Full Time Data scientist Gen AI
View role
₹25L+

Data Scientist Neev System

arisexcel corporation

Hyderabad, Telangana-36, India-101

Full Time Job Requirement details Job Title / Role Data Scientist Type of Employment (Full time/Contract/Contract to hire) Full Time Years of Experience Required (Min-Max) 8 + Years( Relevant should be 7 Years) No. of Positions 2 CTC in INR 30 LPA Bounty Highest Qualification Required Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. Work Location Hyderabad Mode of Work (Remote/On-site/Hybrid) WFO/4 Days Hybrid Mandatory Notice Period/ Start Date Flexibility Immediate - 15 Days On-site feasibility (work abroad) No Interview Rounds L1- TechnicaL L2 - Techno Mnagerial Client Interview Interview Panel Time slots 12PM - 3PM - L1 Office Time 4:00 PM – 1:00 AM Weekend Drives No Salaries paid on Last working day of the month Must/Good to Have Details Must have · 8+ years of experience in a data scientist, ML engineer, or advanced analytics role · Strong foundation in statistics — hypothesis testing, regression, time series analysis, Bayesian methods · Advanced SQL — comfortable writing complex queries across large, multi-source datasets · Proficiency in Python or R for analysis, modeling, and automation · Experience with ML/statistical libraries (scikit-learn, statsmodels, pandas, NumPy, or similar) · Experience with AWS data and ML services (SageMaker, Redshift, Athena, Glue, QuickSight, or similar) · Hands-on experience with Tableau · Demonstrated ability to define metrics frameworks and build dashboards from scratch, not just maintain existing ones · Experience building anomaly detection or predictive models in a production or operational context · Strong communication skills — able to present statistical findings to executives, engineering leaders, and technical teams with equal clarity · Experience working across multiple teams or systems, synthesizing data from disparate sources into a unified view Good to have · Familiarity with healthcare, diagnostics, or lab operations · Experience with operational analytics (error tracking, SLA monitoring, system health metrics) · Experience with real-time or streaming analytics (Kinesis, Lambda) Key role and responsibilities · Define and build the metrics framework for the digital ordering pipeline — from order intake through result delivery · Design and deliver dashboards that track order volume, throughput, turnaround times, error rates, and system stability across multiple integration points · Build predictive models to forecast order failures, volume trends, and capacity needs · Develop automated anomaly detection to surface pipeline issues before they escalate · Apply statistical methods for root cause analysis — diagnosing why systems fail, not just what failed · Partner with engineering teams to instrument data collection where gaps exist · Translate complex technical and statistical findings into clear narratives for executive leadership, engineering management, and individual engineering teams · Investigate ad-hoc data questions — diagnosing production issues, quantifying impact of incidents, and supporting root cause analysis · Document metric definitions, model logic, data sources, and dashboard design so the organization can maintain and extend your work independently 8+ years of experience in a data scientist, ML engineer, or advanced analytics role · Strong foundation in statistics — hypothesis testing, regression, time series analysis, Bayesian methods · Advanced SQL — comfortable writing complex queries across large, multi-source datasets · Proficiency in Python or R for analysis, modeling, and automation · Experience with ML/statistical libraries (scikit-learn, statsmodels, pandas, NumPy, or similar) · Experience with AWS data and ML services (SageMaker, Redshift, Athena, Glue, QuickSight, or similar) · Hands-on experience with Tableau · Demonstrated ability to define metrics frameworks and build dashboards from scratch, not just maintain existing ones · Experience building anomaly detection or predictive models in a production or operational context · Strong communication skills — able to present statistical findings to executives, engineering leaders, and technical teams
View role
₹9L+

Data Engineer,Bridgehorn

arisexcel corporation

Hyderabad, Telangana-36, India-101

Full Time Colleges Tier List mentioned below • Experience: Minimum 3 years of experience is mandatory in data management projects with technologies like Microsoft Fabric, Snowflake, and Databricks with related tools and technologies • Programming Skills: Excellent skills in SQL & Python are essential for this role • Data Management: Basic understanding of database management systems, data warehouse and data modelling is essential for this role • Analytical Skills: Strong analytical abilities to interpret trends and patterns in complex datasets. • Communication Skills: Excellent verbal and written communication skills for collaborating with team members.
View role
₹25,000–₹50,000/mo

Office Support & Data Entry Operator Jobs

Infosure Technologies

Jaipur, Rajasthan, India

Part Time data entry typing speed
View role
₹25,000–₹50,000/mo

Typing & Data Entry Jobs – Flexible Working Hours

Infosure Technologies

Kolkata, West Bengal, India

Part Time data entry typing speed
View role
₹25,000–₹50,000/mo

Online Data Entry Executive – Part Time & Full Time Jobs

Infosure Technologies

Chennai, Tamil Nadu, India

Part Time data entry typing speed
View role
See all live data jobs

Data salary in India — FAQs

What is the average data salary in India in 2026?

Based on 84 live data jobs on OnJob.io that disclose pay, the median data salary in India is ₹5L per year (₹5,00,000). Most data roles fall between ₹4.5L and ₹5.5L, with the full range running from ₹1.5L to ₹27L. These are real, current listings — not a generic survey.

Do these data salary numbers include freshers?

Yes. The ₹1.5L–₹27L range is computed from every live data listing on OnJob that discloses pay, which mixes entry-level, mid and senior openings. That is why the lower quartile (₹4.5L) sits well below the median — fresher and junior data roles cluster near the bottom of the band, while senior roles pull the top up.

How is the data salary range calculated?

We aggregate the disclosed pay on 84 live data jobs currently listed on OnJob.io, convert every figure to an annual INR amount, and report the minimum, quartiles, median and maximum. We only count INR roles that publish a salary, and the numbers update automatically as jobs are added or expire — so the band always reflects what employers are paying right now.

How do I know if my data salary is fair?

Compare your number against this live band: if you earn below ₹5L you are under the OnJob median for data roles in India, and below ₹4.5L you are in the bottom quartile. For a verdict tuned to your exact experience, skills and city, create a free OnJob profile — the AI gives you an under / at / above-market salary verdict on every data job before you apply.

Salary for other roles

See all benchmarks on the India salary guides hub .

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Create a free profile and OnJob gives you an under / at / above-market salary verdict — tuned to your experience, skills and city — on every data job before you apply.

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