Swiggy is hiring freshers for the Data Scientist role in Bangalore through its Off Campus Drive 2026. Candidates with a Bachelor’s or Master’s degree or related fields are eligible to apply.
If you are looking for Swiggy job vacancy 2026 for freshers in Bangalore, check the complete eligibility criteria, salary details, recruitment process, and apply link below.
Swiggy Data Scientist Job Overview
| Details | Information |
|---|---|
| Company | Swiggy |
| Role | Data Scientist |
| Qualification | Bachelors or Masters degree |
| Experience | 0 – 3 Years |
| Job Location | Bangalore |
| Job Type | Full Time |
| Salary | ₹18 – ₹20 LPA (Expected) |
| Batch | 2023 / 2024 / 2025 / 2026 |
| Last Date | As Soon As Possible |
About Swiggy
Swiggy is one of India’s leading on-demand delivery platforms, operating in more than 500 cities. The company uses a technology-driven logistics network to connect restaurants, delivery partners, and customers. Swiggy continues to expand its business operations and frequently hires fresh graduates for analytics, operations, and business roles.
Eligibility Criteria – Swiggy Data Scientist
Candidates must meet the following requirements:
- Bachelors or Masters degree in a quantitative field with 0-3 years of industry/research lab experience
- Required: Excellent problem solving skills, ability to deconstruct and formulate solutions from first-principles
- Required: Depth and hands-on experience in applying ML/DL, statistical techniques to business problems
- Preferred: Experience working with ‘big data’ and shipping ML/DL models to production
- Required: Strong proficiency in Python, SQL, Spark, Tensorflow
- Required: 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
Freshers and candidates with up to 3 years of experience can apply.
Roles & Responsibilities
- 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.