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Salary
≈ $24k – $63k per year (Estimated)
Location
Hybrid (Bengaluru, India)
Seniority
Senior · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 27, 2026.

Overview
Company
Impact
Profile match
Headquartered in Bengaluru, India, Swiggy is an on-demand convenience platform and quick-commerce company. The company operates a multi-service digital ecosystem offering online restaurant food delivery, instant grocery and household goods fulfillment (Swiggy Instamart), restaurant table reservations and dining out deals (Dineout), and hyperlocal pick-up/drop logistics (Swiggy Genie).

Job Profile: Data Scientist II

Location: Bangalore/Karnataka

Years of Experience: 3 - 5

About The Role

Swiggy is redefining the convenience economy through speed, scale, and service. We're looking for a highly motivated Data Scientist with experience in Operations Research, Optimization, and Machine Learning to join our fast paced, impact-driven team.

Data Science and applied ML is ingrained deeply in decision making and product development at Swiggy. Our data scientists work closely with cross-functional teams to ship end-to-end data products, from formulating the business problem in mathematical/ML terms to iterating on ML/DL methods to taking them to production. We own or co-own several initiatives with a direct line of sight to impact on customer experience as well as business metrics. We also encourage open sharing of ideas and publishing in internal and external avenues

What will you get to do here?

  • You will leverage your strong ML/DL/Statistics background to build new and next generation of ML based solutions to improve the quality of ads recommendation and leverage various optimization techniques to improve the campaign performance.
  • You will mine and extract relevant information from Swiggy's massive historical data to help ideate and identify solutions to business and CX problems.
  • You will work closely with engineers/PMs/analysts on detailed requirements, technical designs, and implementation of end-to-end inference solutions at Swiggy scale.
  • You will stay abreast with the latest in ML research for Ads Bidding algorithms, Recommendation Systems related areas and help adapt it to Swiggy's problem statements.
  • You will publish and talk about your work in internal and external forums to both technical and layman audiences.
  • Opportunity to work on challenging and impactful projects in the logistics domain
  • Collaborate with cross-functional teams, including software developers and product managers, to integrate data-driven solutions into our systems
  • Develop and deploy machine learning and deep learning models
  • Take ownership of projects from inception to delivery, ensuring high-quality and impactful results.

What qualities are we looking for?

  • Masters degree in areas related to Applied Mathematics, Machine Learning, Statistics
  • 3 to 5 years of industry/research lab experience
  • Technically hands-on with deep dive expertise in applying ML to big data
  • History of having shipped ML data products
  • Results-oriented team player with a strong sense of ownership
  • Experience working with software developers, product managers and overall SDLC
  • Experience in Deep Learning and previous experience in startups and/or product-based consumer/internet
  • companies is preferred
  • 3 to 5 years of industry/research lab experience

  • Masters degree in areas related to Applied Mathematics, Machine Learning, Statistics

Visit our tech blogs to learn more about some the challenges we deal with:

https://bytes.swiggy.com/the-swiggy-delivery-challenge-part-one-6a2abb4f82f6

https://bytes.swiggy.com/how-ai-at-swiggy-is-transforming-convenience-eae0a32055ae

https://bytes.swiggy.com/decoding-food-intelligence-at-swiggy-5011e21dbc86

Visit our tech blogs to learn more about some the challenges we deal with: https://medium.com/swiggy-bytes

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.

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