Career Roadmaps
Job in Data Science for Freshers: Roles, Salary and Internships in India (2026)
How to land your first job in data science in India: 6 fresher roles, 2026 salary ranges, internship stipends, skills recruiters test and a 30-day plan.

You've finished a Python course, watched every YouTube playlist, and applied to 80 openings. The replies? Silence, or "minimum 2 years experience".
Here's the good news: freshers do get their first job in data science in India. Just not usually through the door most people try first.
In this guide, you'll see:
- The 6 entry-level roles that actually hire freshers, with 2026 pay
- What the internship market really looks like right now
- The skills and proof recruiters check in the first 10 minutes
- A 30-day application plan you can start today
A job in data science is a role where you collect, clean, analyse or model data to answer business questions. In India, most freshers start as a data analyst, business analyst, junior data scientist or data science intern, earning roughly ₹4 to ₹10 LPA, and move into core data scientist or machine learning roles after 1 to 3 years.
Quick answer: how to get a job in data science as a fresher (November 2026)
- Most freshers enter through data analyst, business analyst or data science intern roles, not the "Data Scientist" title.
- Fresher data scientist pay in India typically sits between ₹5 and ₹10 LPA at most companies, with IT services at ₹4 to ₹6 LPA and Indian product companies at ₹14 to ₹26 LPA (Weekday, October 2026).
- Internships matter: nearly six in ten fresher job postings in July 2026 preferred or required internship experience (foundit).
- Global capability centres (GCCs) are hiring fast, with AI, Data Science and Analytics the fastest-growing GCC function at 38% year on year (foundit, July 2026).
- Recruiters screen for SQL, Python, statistics and 2 to 3 real projects on GitHub more than for certificates.
Contents
- Do Companies Hire Freshers for Data Science Jobs?
- 6 Entry-Level Data Science Jobs for Freshers
- Fresher Salary for a Job in Data Science in 2026
- Data Science Internships in India: What to Expect
- Skills Recruiters Test in Data Science Freshers
- The Fresher Entry Ladder: 3 Doors Into Data Science
- Where to Find Data Science Jobs for Freshers
- Your 30-Day Data Science Job Application Plan
- Mistakes That Keep Freshers Stuck
Do Companies Hire Freshers for Data Science Jobs?
Yes, Indian companies hire freshers for data science jobs, but mostly into analyst, associate and intern roles rather than senior "Data Scientist" titles. The market in 2026 is growing for skilled freshers and shrinking for generic ones.
The data looks contradictory at first. Naukri JobSpeak reported fresher hiring up 8% year on year in June 2026, with AI and ML roles up 25%. A month later, the foundit Insights Tracker showed entry-level hiring down 10% year on year in July 2026.
Both can be true.
The IT sector has cut bulk fresher intake (its share of fresher hiring fell from 32% to 24%, per foundit), while GCCs, product companies and non-IT sectors are hiring more freshers who already have applied skills. The TeamLease EdTech Career Outlook HY1 2026, a survey of 1,051 employers, put fresher hiring intent at 73% and described a shift from degree and resume filters to "skills, proof-of-work and behaviour".
Bottom line: the openings exist, but the bar has moved from "has a degree" to "can show work".
6 Entry-Level Data Science Jobs for Freshers
Six roles regularly hire freshers into data science in India: data analyst, business analyst, junior data scientist, data science intern, data engineer (trainee) and machine learning engineer (trainee). The first three are where most freshers land.
| Role | What you do day to day | Core tools | Fresher-friendliness |
|---|---|---|---|
| Data analyst | Clean data, build reports and dashboards, answer "what happened" | SQL, Excel, Power BI or Tableau | High |
| Business analyst | Translate business problems into data questions, track KPIs | Excel, SQL, presentation skills | High |
| Junior data scientist / associate | Build simple predictive models, run experiments | Python, pandas, scikit-learn, statistics | Medium |
| Data science intern | Support a team on one real project for 2 to 6 months | Python, SQL | High |
| Data engineer (trainee) | Build pipelines that move and store data | SQL, Python, cloud basics | Medium |
| ML engineer (trainee) | Deploy and monitor models, often with generative AI tools | Python, APIs, Git | Low to medium |
Data analyst
The data analyst role is the most common first job in data science because the skills (SQL, Excel, a BI tool) are learnable in months and every industry needs reports. Read our guide to data analyst interview questions to see what the screening round covers.
Business analyst
A business analyst sits between the data team and the business team. Commerce, BBA and MBA graduates often do well here because domain sense counts as much as code.
Junior data scientist
A junior data scientist builds models, but most of the job is still data cleaning and explaining results. Expect at least one statistics round and one take-home case study.
Data science intern
An intern data science role is often the most realistic entry for final-year students. Many companies convert good interns into full-time hires, which is why internships carry so much weight (more on that below).
Data engineer and ML engineer trainees
Data engineering and ML engineering trainee roles exist, but fewer of them are open to freshers. foundit's July 2026 data shows AI-led roles made up about 4% of fresher hiring, and 51% of those were in AI operations such as data analysis, prompt engineering and testing, not model building.

Fresher Salary for a Job in Data Science in 2026
A fresher in a job in data science in India typically earns ₹4 to ₹10 LPA, depending far more on the type of employer than on the job title. Product companies and GCCs pay the most; IT services pay the least.
| Employer type | Typical fresher pay (0 to 1 year) | Source |
|---|---|---|
| IT services (TCS, Infosys, Wipro) | ₹4 to ₹6 LPA | Weekday, Oct 2026 |
| Consulting and analytics firms | ₹5 to ₹11 LPA | Weekday, Oct 2026 |
| Indian product companies | ₹14 to ₹26 LPA | Weekday, Oct 2026 |
| Top product firms and GCCs | ₹15 to ₹25 LPA | Weekday, Oct 2026 |
| Junior data scientist (all employers) | About ₹6.46 LPA average salary | Glassdoor India, 50 salaries, Nov 2026 |
Sources: Weekday: Data Scientist Salary in India 2026; Glassdoor India.
Two notes before you get excited about the top rows.
First, the ₹14 LPA+ offers go to a small slice of freshers, usually from top campuses or with strong internships. Second, Weekday estimates tier-2 cities pay roughly 20 to 25% below metros for the same role, which matters if you plan to work from Nagpur, Indore or Coimbatore.
For the full breakdown by experience and city, see our data science salary in India guide.
Note: Salary sites disagree because they use different samples. Glassdoor's junior data scientist figure is based on just 50 self-reported salaries, so treat every number as a range, not a promise.
Data Science Internships in India: What to Expect
A data science internship in India usually lasts 2 to 6 months, is often remote, and pays anywhere from nothing to over ₹60,000 a month. Internships are the single biggest shortcut to a first full-time offer in 2026.
Here's why they matter so much: foundit's July 2026 tracker found that nearly six in ten fresher job postings preferred or required prior internship experience, and only 42% were open to candidates with none.
We checked Internshala's data science listings on 13 November 2026:
- About 280 active data science internships from 260+ companies
- A stipend range of about ₹1,000 to ₹63,000 per month in Internshala's own snapshot
- About 200 of them were work from home
- Several listings were unpaid
Important: An unpaid internship with real data and a mentor can be worth it for 1 to 2 months. A "data science internship" that asks you to pay a fee is a course, not an internship.
How to pick a good one:
- Ask what dataset and tools you will use in week one.
- Ask who reviews your work.
- Prefer a smaller paid role with real data over a big brand name with only training videos.
- Make sure you can show the output (with sensitive data removed) in your portfolio.
Skills Recruiters Test in Data Science Freshers
Recruiters test data science freshers on five things: SQL, Python, statistics, one BI tool, and the ability to explain a project in business terms. Certificates get you past keyword filters; these skills get you the offer.
| Skill | What "job-ready" looks like for a fresher |
|---|---|
| SQL | Joins, GROUP BY, window functions, writing queries without autocomplete |
| Python | pandas for cleaning, matplotlib or seaborn for charts, basic scikit-learn |
| Statistics | Mean vs median, distributions, hypothesis testing, correlation vs causation |
| Excel and Power BI or Tableau | Pivot tables, lookups, one interactive dashboard |
| Communication | Explaining a result to a non-technical manager in 2 minutes |
| Generative AI tools | Using AI assistants to speed up code and analysis, and checking their output |
The last row is new. Naukri's June 2026 data showing AI and ML hiring up 25% means many interviewers now ask how you use AI tools, and whether you can catch their mistakes.
Projects that actually impress
Two or three solid projects on GitHub beat ten tutorial copies. A good fresher project has a real question, a messy dataset (Kaggle or government open data), clear cleaning steps, and a one-page summary of what the business should do.
Start with ideas from our types of machine learning guide, which pairs each type with real examples.

The Fresher Entry Ladder: 3 Doors Into Data Science
The Fresher Entry Ladder is a simple way to choose where to apply first: Door 1 is analyst roles, Door 2 is internship-to-offer, and Door 3 is associate roles at GCCs and product companies. Most freshers should push on Doors 1 and 2 at the same time.
Door 1: Analyst roles. Highest number of openings, lowest barrier. You need SQL, Excel, one BI tool and one dashboard project. Expect ₹4 to ₹7 LPA at most employers.
Door 2: Internship to offer. Best for final-year students and recent graduates. You need Python, SQL and one project. The goal is a pre-placement offer, so treat the internship like a long interview.
Door 3: GCCs and product companies. Fewer seats, higher pay. foundit reported in July 2026 that candidates with 0 to 3 years of experience make up 30% of GCC hiring, and the AI, Data Science and Analytics function grew 38% year on year (Business Today). You need stronger statistics, clean GitHub work and usually a referral.
Why does this framework help? Because most freshers only apply to Door 3, get rejected, and conclude there are no jobs. Moving up the ladder after 12 to 18 months in an analyst role is the more reliable path.
Where to Find Data Science Jobs for Freshers
The best places to find data science jobs for freshers in India are LinkedIn, Naukri, foundit, Internshala (for internships), company career pages of GCCs, and referrals. Referrals convert best; job boards give you volume.
- LinkedIn: Filter by "Entry level" and "Past week". Follow data leaders at GCCs and comment on their posts with useful points.
- Naukri and foundit: Set alerts for "data analyst fresher", "associate data scientist" and "business analyst 0-1 years".
- Internshala: Best for paid internships; filter by stipend and part-time.
- GCC career pages: Banks, retailers and manufacturers run large analytics centres in Bengaluru, Hyderabad, Pune and Chennai.
- Hackathons: Smart India Hackathon and Kaggle competitions give you projects and recruiter visibility.
Location matters too. foundit's July 2026 data shows Pune's share of fresher hiring rose from 12% to 14%, level with Bengaluru and Mumbai, while Delhi NCR led at 19%. If you're in Nagpur, our guides to IT companies in MIHAN Nagpur and remote data analyst jobs from Nagpur list local and remote options.
Your 30-Day Data Science Job Application Plan
A 30-day plan for a data science job breaks the search into four weekly sprints: fix your proof, build your pipeline, apply in volume, and practise interviews. Here's the Fresher 30-Day Application Tracker:
| Week | Focus | Daily target | Done when |
|---|---|---|---|
| Week 1 | Proof | 2 hours on one portfolio project | GitHub repo with README, one-page resume, LinkedIn updated |
| Week 2 | Pipeline | Shortlist 10 companies, find 2 contacts each | 40 to 50 targeted roles in a sheet |
| Week 3 | Apply | 5 tailored applications, 2 referral messages | 25+ applications sent |
| Week 4 | Interview prep | 1 SQL set, 1 mock interview, 1 project walkthrough | You can explain every resume line |

How to use it:
- Copy the table into a Google Sheet and add columns for company, role, contact, date applied and status.
- Tailor the top three lines of your resume for each application.
- Follow up once after 7 days, then move on.
- Repeat the cycle until you have an offer.
For interview practice, work through our machine learning interview questions and SQL rounds before Week 4.
Pro tip: Send referral messages with a link to one specific project that matches the team's work. "I built a churn model on telecom data" gets more replies than "Please refer me".
Mistakes That Keep Freshers Stuck
The mistakes that most often keep freshers from a data science job are collecting certificates instead of projects, applying only to "Data Scientist" titles, and ignoring SQL. Each one is fixable in a few weeks.
- Certificate stacking. Five certificates and zero projects tell a recruiter you can watch videos.
- Title chasing. Skipping analyst roles because they "aren't real data science" adds months to the search.
- Weak SQL. SQL is in almost every screening round, and it's where many freshers drop out.
- Copy-paste projects. The Titanic and Iris datasets are fine for learning, not for a portfolio.
- Mass applying. 200 identical applications usually perform worse than 30 tailored ones with referrals.
Your First Job in Data Science: Next Step
Landing your first job in data science in 2026 comes down to proof, not paperwork. Start with an analyst role or an internship, build two real projects, and climb the Fresher Entry Ladder from there.
If you want structured training with live projects, mentor reviews and interview preparation, Fireblaze AI School's Professional Certification in AI-Powered Data Science covers Python, SQL, statistics, machine learning and generative AI tools, with placement assistance for learners in Nagpur and online.
Which door are you going to knock on first?
Sources
- Naukri JobSpeak, June 2026
- foundit Insights Tracker, July 2026, via Business Today, August 2026
- foundit GCC hiring data via Business Today, July 2026
- TeamLease EdTech Career Outlook HY1 2026 via Careers360, May 2026
- Weekday: Data Scientist Salary in India 2026, October 2026
- Glassdoor India: Junior Data Scientist salaries, November 2026
- Internshala: Data Science internships, checked 13 November 2026
FAQ
Frequently Asked Questions
Are there Power BI developer jobs in Nagpur for freshers?
There are a few, mostly internships and trainee roles. In our comparison, 3 of 9 Nagpur Power BI listings accepted freshers. Most freshers start as Data Analyst, MIS Analyst or Associate Analyst and move into a Power BI developer title after 1 to 2 years.
What is the Power BI developer salary in Nagpur?
AmbitionBox estimates for Nagpur firms fall around Rs 3.8 to Rs 5.3 lakh a year for early and mid-career developers, and Rs 8.1 to Rs 10.4 lakh for combined Power BI and Tableau developers. Internships pay about Rs 10,000 to Rs 15,000 a month.
Is PL-300 required for Power BI jobs?
No. Nagpur listings usually say "preferred", not "required". PL-300 helps you get shortlisted, but employers still test your own dashboards and your DAX in interviews.
How long does it take to learn Power BI for a job?
About 90 days at 18 hours a week is enough to reach interview level if you already know basic Excel. That covers Power Query, data modelling, DAX, SQL basics, report design and the Power BI Service.
Which companies hire Power BI developers in Nagpur?
Recent Nagpur listings came from InfoCepts, Altimetrik, Nice Software Solutions, Pinnacle Teleservices, Percept Infosystem and KC Overseas Education. Non-IT companies also hire for MIS and reporting roles that use Power BI.
Do I need coding to become a Power BI developer?
You need DAX and SQL, which are formula and query languages rather than full programming. Python helps at mid and senior levels, as some Nagpur listings ask for it, but it is not required to start.
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