Swiggy Off Campus Drive 2026 – Data Scientist I

Swiggy Off Campus Drive 2026 – Details:

Detailed Eligibility:

Data Scientist I:

What qualities are we looking for?

• 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
  • Strong spoken and written communication skills
• Big plus: Experience in the space of ecommerce and logistics
• Experience in Generative AI
• Proven track record of developing and shipping ML and DL data products
• Experience in Agentic AI , LLMS and NLP
• Proficiency in Python

What will you get to do here?

• 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
• Strong spoken and written communication skills
• Big plus: Experience in the space of ecommerce and logistics
• Experience in Generative AI
• Proven track record of developing and shipping ML and DL data products
• Experience in Agentic AI , LLMS and NLP
• Proficiency in Python