Swiggy Off Campus Drive 2026 – Data Scientist I

Data Scientist I Off-Campus Drives B.E/B.Tech/B.Sc/M.E/M.Tech/M.Sc 0 – 3 Years Best in Industry Bangalore

You will leverage your strong ML/DL/Statistics background to build new and next-generation ML-based solutions to improve the quality of ad recommendations and leverage various optimisation 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.

About the Team & Role: 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

Bachelor’s or Master’s degree in a quantitative field with 0-2 years of industry/research lab experience Years of Experience: 0 – 3 Preferred: Experience working with ‘big data’ and shipping ML/DL models to production Required: Excellent problem-solving skills, ability to deconstruct and formulate solutions from first-principles Depth and hands-on experience in applying ML/DL, statistical techniques to business problems Strong proficiency in Python, SQL, Spark, Tensorflow