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.
As a Data Scientist II, you will work on critical problems spanning supply chain optimization, assortment optimization, You can replace these with Forecasting, Fraud and Spatial modelling - which I see more of scope rather than Ads, Recommendation . You will collaborate with cross-functional teams to develop intelligent systems and deploy them at scale, helping Instamart reach new operational milestones.
Job DescriptionWhat will you get to do here?
Design, develop, and deploy scalable optimization algorithms for supply chain, assortment planning etc.
Translate business problems into mathematical formulations using tools like Linear Programming, Integer Programming, and Heuristics.
Build and improve predictive models using ML techniques (regression, classification, time-series forecasting).
Collaborate closely with Product, Engineering, and Operations teams to take models from prototype to production.
Analyze model performance and continuously iterate to improve accuracy and efficiency.
Drive measurable impact on key business metrics such as availability, wastage, revenue per order, cost per order etcWork on high-impact, real-world problems at massive scale.
Be a part of a fast-growing vertical within Swiggy with opportunities to innovate and experiment.
Collaborate with a world-class team of engineers, product managers, and data scientists.
Competitive compensation and a culture that promotes learning, ownership, and growth.
What qualities are we looking for?
3–5 years of experience in Data Science or Applied Research roles.
Strong foundation in Operations Research and Mathematical Optimization (e.g., LP, MILP, ILP).
Solid hands-on experience with Python, SQL, and at least one optimization solver (e.g., Gurobi, OR-Tools, CPLEX).
Good understanding of Machine Learning concepts and frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
Experience in solving large-scale real-world problems using a combination of ML and OR techniques.
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Excellent communication and stakeholder management skills.
Experience in supply chain, logistics, food delivery, or q-commerce/e-commerce domains.
Prior experience in building real-time or near real-time decision systems.
Experience working with large datasets and distributed systems (e.g., Spark).
Few requirements I would like to add :
Strong understanding of statistical techniques. Distributions and loss functions.
Production level coding standards and not just POC. Understanding of cache layers, database schema designs, abstractions and modularity
Experience designing or working with agentic/autonomous decision systems that incorporate human-in-the-loop review, exception handling, or override mechanisms.
Qualifications3–5 years of experience in Data Science or Applied Research roles.
Strong foundation in Operations Research and Mathematical Optimization (e.g., LP, MILP, ILP).
Solid hands-on experience with Python, SQL, and at least one optimization solver (e.g., Gurobi, OR-Tools, CPLEX)
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
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.
Skills Required
- 3-5 years of experience in Data Science or Applied Research roles
- Strong foundation in Operations Research and Mathematical Optimization, including LP, MILP, or ILP
- Hands-on experience with Python and SQL
- Experience with at least one optimization solver, such as Gurobi, OR-Tools, or CPLEX
- Understanding of machine learning concepts and frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch
- Experience solving large-scale real-world problems using ML and Operations Research techniques
- Strong problem-solving skills
- Excellent communication and stakeholder management skills
- Experience in supply chain, logistics, food delivery, quick commerce, or e-commerce domains
- Experience building real-time or near-real-time decision systems
- Experience working with large datasets and distributed systems such as Spark
- Strong understanding of statistical techniques, distributions, and loss functions
- Production-level coding standards, including cache layers, database schema design, abstractions, and modularity
- Experience designing or working with agentic or autonomous decision systems incorporating human-in-the-loop review, exception handling, or override mechanisms
Swiggy Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Swiggy and has not been reviewed or approved by Swiggy.
-
Equity Value & Accessibility — Equity grants and recurring liquidity events are ongoing, and feedback suggests office employees value this as part of total compensation. These programs provide a meaningful wealth‑creation lever by India tech standards.
-
Parental & Family Support — Gender‑neutral parental policies were expanded with extended leave, flexible/part‑time options, bonding leave, fertility/adoption support, and structured re‑entry. Feedback suggests these updates are viewed as progressive and supportive for caregiving.
-
Healthcare Strength — Company‑paid accident insurance for delivery partners includes hospitalization and OPD cover with extensions to family members. This safety net is notable within the gig‑economy context.
Swiggy Insights
What We Do
Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500 cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fuelled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India. From starting out as a hyperlocal food delivery service in 2014, to becoming a logistics hub of excellence today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees. With Swiggy’s New Supply and the recent launches of Swiggy Instamart, Swiggy Genie, and Guiltfree, we are consistently making waves in the market, while continually growing the opportunities we offer our people. *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.
.png){kind=icon}
