Swiggy Data Scientist Hiring 2026 | Data Scientist I | Bengaluru — Apply Now

Swiggy Data Scientist Hiring 2026 is now live! Swiggy, India’s leading food and quick commerce platform, is actively hiring Data Scientist I for its growing AI and ML teams in Bengaluru. This is a rare opportunity for freshers and early-career candidates (0–3 years) with strong quantitative and ML skills to work on real-world data challenges at massive scale. Read on for full eligibility details and how to apply.

Swiggy Data Scientist Hiring 2026 – Full Job Details

About Swiggy

Swiggy is India’s leading on-demand convenience platform, delivering food, groceries, and more to millions of customers across 500+ cities. Founded in 2014 and headquartered in Bengaluru, Swiggy has grown into one of India’s most innovative technology companies, powered by a world-class engineering and data science team. With billions of data points generated every day across its delivery, restaurant, and commerce operations, Swiggy is at the forefront of applying machine learning and artificial intelligence to solve genuinely hard real-world problems at unprecedented scale.

Role Overview – Data Scientist I

As a Data Scientist I at Swiggy, you will be embedded in the Data Science and Applied ML team — a group that is deeply involved in decision-making and product development across the organisation. You will work at the intersection of cutting-edge machine learning research and high-impact production systems, collaborating with engineers, product managers, and analysts to build solutions that directly shape the experience of millions of users and delivery partners. Whether it’s recommendation engines, ads bidding algorithms, or logistics optimisation, the work you do here will be visible and impactful from day one.

Key Responsibilities

• Build ML/DL Solutions: Leverage your ML, deep learning, and statistics background to build next-generation ML-based systems that improve the quality of ads recommendations and optimise campaign performance across Swiggy’s platforms.
• Data Mining & Analysis: Mine and extract relevant insights from Swiggy’s massive historical data to help ideate and identify solutions to complex business and customer experience problems.
• Cross-functional Collaboration: Work closely with engineers, product managers, and analysts on detailed technical requirements, designs, and end-to-end implementation of inference solutions that run at Swiggy’s production scale.
• ML Research & Application: Stay abreast of the latest research in Ads Bidding algorithms, Recommendation Systems, Generative AI, and logistics domain to continuously improve Swiggy’s ML capabilities and adapt them to Swiggy’s unique problem statements.
• Model Deployment: Develop, train, and deploy machine learning and deep learning models — taking full ownership from inception through to production delivery, ensuring high-quality and impactful results.
• Knowledge Sharing: Publish and talk about your work in internal tech blogs and external forums, contributing to Swiggy’s culture of open knowledge exchange with both technical and non-technical audiences.
• Impactful Projects: Get the opportunity to work on some of the most challenging and impactful projects in the logistics and quick commerce domain, integrating data-driven solutions into Swiggy’s core systems alongside software developers and product managers.

Eligibility Criteria

• Educational Qualification: Bachelors or Masters degree in a quantitative field — this includes B.E / B.Tech / B.Sc / M.Tech / MCA in Computer Science, Statistics, Mathematics, Engineering, or related disciplines.
• Batch Year: 2022, 2023, 2024, 2025, or 2026 pass-outs eligible (0–3 years of industry or research lab experience).
• Academic Performance: Not specifically mentioned — candidates with strong academic records in quantitative subjects are preferred.
• Technical Skills: Strong proficiency in Python, SQL, Spark, and TensorFlow is required. Hands-on experience applying ML/DL and statistical techniques to business problems is essential. Experience in Generative AI, Agentic AI, LLMs, and NLP is a big plus.
• Communication Skills: Strong spoken and written communication skills are required, as you will be regularly presenting your work to both technical and non-technical stakeholders.

Preferred Skills & Bonus Points

While the core requirements cover ML/DL fundamentals and Python/SQL proficiency, Swiggy particularly values candidates who bring some of the following to the table. Experience working with big data and shipping ML/DL models to production environments is strongly preferred. Those with a background in ecommerce and logistics domains will have a clear head start. A proven track record of developing and shipping ML/DL data products, experience with Agentic AI frameworks, LLMs, NLP pipelines, and Generative AI are all highlighted as major advantages in this role.

Selection Process

The Swiggy Data Scientist Hiring 2026 follows a structured multi-round selection process:

• Round 1 – Written / Technical Assessment: Candidates who make it through the initial profile screening will be invited for a written or technical test. This may include quantitative aptitude, ML/statistics problem-solving, and coding challenges in Python or SQL.
• Round 2 – Personal Interview: A deep-dive technical interview where you will be assessed on your ML knowledge, problem-solving approach, and ability to formulate solutions from first principles. Be prepared to discuss projects, walk through your ML/DL experience, and solve case-based problems.
• Round 3 – HR Discussion: A final conversation with the HR team covering your background, career goals, team fit, and compensation expectations. This is also your opportunity to ask any questions about the role or Swiggy’s culture.

Salary & Benefits

Swiggy offers a competitive salary package for this role, though the exact compensation figures have not been publicly disclosed for these openings. As one of India’s top-funded technology unicorns, Swiggy is known for offering industry-competitive pay along with performance bonuses, comprehensive health insurance for employees and family, generous learning and development allowances, mentorship from some of India’s best ML practitioners, and a fast-paced, high-growth work environment where your contributions directly impact millions of users every day.

How to Apply for Swiggy Data Scientist Hiring 2026

1. Click one of the “Apply Now” buttons below (two separate openings are available).
2. You will be redirected to the official Swiggy Careers page on their ATS portal.
3. Create an account or log in if you already have one.
4. Fill in the application form with your academic and work experience details.
5. Upload your updated resume in PDF format and submit.
6. Note down the application reference number after submission.

⚡ 2 Openings Available! Swiggy has posted two separate openings for Data Scientist I with identical requirements. Apply to both for the best chance of being shortlisted.

Note: freshershunt.in is a job information platform. We are not the recruiter. Always verify details on the official Swiggy careers page before applying.