Role overview
A data scientist uses statistics, machine learning and programming to extract insight from data and build predictive models that drive business decisions. In India they typically work in Python with libraries like pandas, scikit-learn and TensorFlow, designing experiments, engineering features, training and evaluating models, and communicating results to stakeholders so the business can act on predictions, not just hindsight.
A data scientist usually has around 1–8 yrs of experience and earns typically ₹6L–₹30L/yr in India. The day-to-day blends Python, Statistics, Machine learning and more — this page gives you a ready-to-use data scientist job description template you can copy, plus the exact skills and salary employers expect.
Key responsibilities
A data scientist is typically responsible for:
- Frame business problems as data and machine-learning questions
- Explore, clean and engineer features from large, varied datasets
- Build, train and evaluate predictive and statistical models
- Design and analyse A/B tests and controlled experiments
- Validate models for accuracy, bias and generalisation before deployment
- Translate model outputs into business recommendations and dashboards
- Collaborate with ML and data engineers to productionise models
- Stay current with research and apply new techniques where they fit
Requirements & qualifications
To succeed as a data scientist, candidates usually need:
- Strong foundation in statistics, probability and machine learning
- Proficiency in Python (pandas, NumPy, scikit-learn) and SQL
- Experience with model evaluation, feature engineering and experimentation
- Master's/Bachelor's in a quantitative field or equivalent project work
- Ability to explain complex models to non-technical stakeholders
Data Scientist skills
The most in-demand data scientist skills on listings today:
Not sure which of these you're missing? A free OnJob profile runs your CV against every live data scientist job and shows the exact skill gaps standing between you and a 100% match.
Typical salary & experience
Typical salary (India)
typically ₹6L–₹30L/yr
Experience range
1–8 yrs
These are typical ranges and vary by city, company and skills. For live, role-specific pay data, see the OnJob salary guide.
Data Scientist job description — FAQs
What does a data scientist do?
A data scientist turns data into predictions and decisions by building machine-learning and statistical models. The work includes framing the problem, preparing data, engineering features, training and evaluating models, and explaining the results so the business can act on them.
What skills do you need to become a data scientist in India?
You need a strong grasp of statistics and machine learning, fluency in Python and SQL, and the ability to communicate findings clearly. Hands-on experience with scikit-learn, feature engineering and model evaluation is what most Indian employers look for.
Is a data scientist the same as a machine learning engineer?
No. A data scientist focuses on analysis, experimentation and building models to answer questions, while a machine learning engineer focuses on deploying, scaling and maintaining those models in production. The roles overlap but emphasise different stages.
How much does a data scientist earn in India?
Entry-level data scientists typically earn ₹6L–₹12L per year, mid-level ₹14L–₹22L, and senior or specialist data scientists ₹25L+. See our salary guide for live ranges.