Swiggy Off Campus Drive 2026: Data Scientist I Jobs
Job Description
Elite Job Alert: B.Tech/Master’s Freshers Hiring in Bangalore for Data Science (Up to ₹24.6 LPA)!
Are you a highly skilled Bachelor’s or Master’s Degree holder in a quantitative field (CS, Statistics, Operations Research) from Bihar or Patna? Swiggy, India’s leading convenience commerce platform, is hiring Data Scientist I for its core office in Bangalore. This role is a direct entry point into high-impact machine learning and statistical modeling, offering a top-tier fresher salary, frequently reaching ₹21+ LPA CTC!
✨ Job Highlights & Quick Details
| Detail | Information |
| Role Name | Data Scientist I (L6/L7 Entry Level) |
| Industry | E-commerce, Logistics, Consumer Tech |
| Target Audience | Bachelor’s / Master’s Degree (Quant. Fields) |
| Experience | Freshers (0 to 3 Years Experience) |
| CTC (Salary) | ₹13 LPA to ₹24.6 LPA (Top-Tier Fresher Salary) |
| Location | Bangalore (India’s ML & Data Science Hub) |
| Drive Status | Open – Apply Now! |
Keyword Focus: Swiggy Data Scientist Freshers Salary, Swiggy Off Campus Hiring B.Tech, Data Scientist Jobs for Freshers Bangalore, ML Python SQL Jobs 20+ LPA.
💡 Why a Data Scientist Role at Swiggy is Elite
- Massive Scale & Impact: Swiggy processes terabytes of data daily. You will build and deploy models for real-world problems like delivery time prediction, optimal routing, personalization, and pricing .
- High Compensation: The Data Scientist I role is exceptionally well-paid for freshers, reflecting the value Swiggy places on data-driven decision-making.
- Core ML Work: You will go beyond basic analytics, applying deep expertise in Machine Learning (ML), Deep Learning (DL), Statistical Techniques, and Operations Research (OR) to business problems.
📝 Role and Responsibilities
As a Data Scientist, you will be solving complex, open-ended business problems using advanced mathematical and statistical rigor:
- Model Development: Design, develop, and deploy scalable ML/DL models (e.g., for recommendations, ads bidding, or logistics optimization).
- Data Mining & Analysis: Mine and extract relevant information from Swiggy’s massive historical data, generating insights and validating hypotheses using sound, rigorous methodologies.
- Collaboration & Production: Work closely with Product Managers and Engineering teams to integrate data-driven solutions and ensure models perform reliably in a production environment.
- Research & Innovation: Stay abreast of the latest ML research and adapt it to Swiggy’s unique problem statements (e.g., Generative AI, LLMs).
🎓 Eligibility Criteria & Essential Skills
This drive targets candidates with strong quantitative and programming fundamentals:
- Qualification: Bachelor’s or Master’s Degree in a quantitative field such as Computer Science, Applied Mathematics, ML/DL, Statistics, or Operations Research.
- Experience: Fresher to 3 years of industry/research lab experience.
- Required Technical Stack: Strong proficiency in Python, SQL, Spark, and TensorFlow/PyTorch.
- Core Skills: Excellent problem-solving skills and a deep understanding of Machine Learning, Deep Learning, and Statistical Techniques.
- Bonus: Experience in e-commerce, logistics, or familiarity with big data and distributed systems is a significant plus.
➡️ How to Apply for the Swiggy Off Campus Drive (Patna/Bihar Candidates)
This selection process is rigorous, often involving multiple technical rounds and deep dives into ML/DL theory and application.
- Click on the official application link below.
- Ensure your resume prominently highlights your Master’s thesis, Capstone projects, Kaggle rankings, or research papers showcasing your ML/DL capabilities.
- Prepare extensively for interviews covering DSA, ML fundamentals, SQL, and practical problem-solving (case studies) related to e-commerce/logistics.