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Data Scientist

Cleaning data, building models, explaining results to product and business teams.

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₹6–25 LPASalary range
HighDemand
6Years to start
5Key skills
Data Scientist: career path, skills, salary
500+careers explained
● Updated for 2026–27

What the work looks like

Cleaning data, building models, explaining results to product and business teams.

A typical day

9:30 AMStand-up with the team; plan the day
11:00 AMDeep work on the main task
2:00 PMReviews, meetings with other teams
4:30 PMLearning, documentation, follow-ups

How to become a Data Scientist

Step 1Class 11–12: PCM or Commerce with Maths
Step 2B.Tech / B.Sc Statistics / B.Sc Data Science
Step 3Projects, internships, Python and SQL
Step 4MSc / MS optional for research roles
Courses for this pathColleges

Skills you need

PythonCore
StatisticsCore
SQLImportant
Machine learningImportant
CommunicationUseful

Salary by experience (India)

₹6 LFresher
₹11.7 L3 yrs
₹17.4 L6 yrs
₹25 L+10 yrs+

Annual pay, sample ranges; varies by city and employer.

FAQs

Is Data Scientist a good career in India?

Demand is high, with pay of ₹6–25 LPA (sample).

Which stream should I choose in Class 11?

Class 11–12: PCM or Commerce with Maths.

Can I switch into it later?

Yes, many people move in after a related degree plus projects or a postgraduate course.

Readiness self-check

A free self-check, not a validated psychometric instrument. Scores stay in your browser; nothing is uploaded.

1. I enjoy working through maths problems - algebra, probability, puzzles.
2. I notice patterns in numbers and data faster than most people I know.
3. My Class 11-12 maths (or statistics) marks are among my best subjects.
4. I have started learning the basics of programming (Python or any language).
5. I can use a spreadsheet (Excel / Google Sheets) confidently for calculations.
6. I have practised SQL, or I am comfortable learning query languages.
7. I have done at least one data project, even a small one with a public dataset.
8. I follow how real companies use data (case studies, breakdowns, internships).
9. I have a clear reason for choosing data science over other careers.
10. I have a week-by-week plan to build my skills over the next six months.
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