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Data Scientist Salary in Pune 2026

A comprehensive guide to Data Scientist salaries in Pune, covering IT services, FinTech captives, and manufacturing ML applications.

Data Scientist Salaries in the Oxford of the East

Pune offers a highly mature Data Science market. Instead of building recommendation engines for food delivery apps, Data Scientists in Pune are often building credit risk models for global banks or predictive maintenance algorithms for automotive giants.

Average Salary by Experience Level

  • Fresher / Junior Data Scientist (0-2 years): ₹7.0 Lakhs - ₹12.0 Lakhs per annum
  • Mid-Level Data Scientist (3-6 years): ₹15.0 Lakhs - ₹25.0 Lakhs per annum
  • Senior Data Scientist / Principal (7-10+ years): ₹30.0 Lakhs - ₹50.0+ Lakhs per annum

Salary by Industry Sector

1. Global Banking and FinTech Captives (Kharadi / Magarpatta)

This is the highest-paying sector for Data Scientists in Pune. Banks like Barclays, Citi, and Credit Suisse rely heavily on quantitative analysis.

  • Mid-Level CTC: ₹18L - ₹28L.
  • The Profile: Focuses on risk modeling, algorithmic trading support, and fraud detection. Heavy use of Python, R, and occasionally legacy SAS.

2. IT Services & Consulting (Hinjewadi)

Pune's massive IT parks house large AI/ML Centers of Excellence for TCS, Infosys, and Tech Mahindra.

  • Mid-Level CTC: ₹12L - ₹20L.
  • The Profile: Highly varied. You might work on NLP for a retail client one year and computer vision for an automotive client the next. Great for broad exposure, though base salaries are slightly lower than product companies.

3. Manufacturing & Industrial IoT (Chakan / Pimpri-Chinchwad)

Pune's massive automotive sector is heavily investing in "Industry 4.0."

  • Mid-Level CTC: ₹14L - ₹22L.
  • The Edge: Applying Machine Learning to physical sensor data (predicting when a robot arm in a factory will fail). If you have an engineering background combined with ML, you command a premium here.

The "Data Engineer" Reality

In Pune, many companies advertise for "Data Scientists," but what they actually need are Data Engineers or MLOps Engineers.

  • If you know how to deploy a model to production (using Docker, Kubernetes, AWS SageMaker) rather than just building it in a Jupyter Notebook, you can negotiate a 20-30% higher salary in Pune.

Negotiation Tip: When dealing with Global Banks in Pune, always factor in the annual bonus (which can be substantial) and the benefits package (insurance, retirement contributions) when comparing it to a high-base, zero-benefits offer from a startup.

Frequently Asked Questions

Does Pune pay as much as Bangalore for Data Science?

At the startup level, Bangalore pays more. However, for mid-to-senior roles in Global Banks or specialized manufacturing ML, Pune salaries are highly competitive and offer a better cost-of-living ratio.

CareerKosh Editorial Team

Written by CareerKosh Editorial Team

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