BENGALURU — Swiggy, India’s leading on-demand convenience platform, has announced a major recruitment drive for a Swiggy Data Scientist (Level I) to join its central technology team in Bengaluru. This opening presents a premier opportunity for fresh graduates and early-career professionals (0–3 years experience) to work on high-scale Machine Learning (ML) and Generative AI projects that directly impact millions of users.
As the battle for AI talent heats up in India’s silicon valley, this Swiggy Data Scientist role stands out by offering entry-level talent the chance to deploy models into production at a massive scale—something often reserved for senior roles at other tech giants.
About Swiggy: Data-Driven Convenience
Since its inception, Swiggy has transformed from a food delivery startup into a logistics powerhouse. Data Science and applied Machine Learning are not just support functions here; they are ingrained deeply in decision-making and product development.
From optimizing delivery routes in real-time to personalized food recommendations, the engineering culture at Swiggy thrives on solving complex problems. The company actively encourages the open sharing of ideas and supports publishing research in both internal and external avenues, making it a hub for innovation.
The Role: What a Swiggy Data Scientist Does
The new Swiggy Data Scientist will join a high-performance team focused on Ads Bidding algorithms and Recommendation Systems. You will move beyond theoretical modeling to ship end-to-end data products.
Key responsibilities include:
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Ads & Recommendation Engines: Leverage strong ML/DL/Statistics backgrounds to build next-generation solutions that improve ad recommendations and campaign performance.
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Data Mining: Mine massive historical datasets to identify solutions for business and Customer Experience (CX) problems.
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End-to-End Implementation: Collaborate with engineers, Product Managers, and analysts to design and implement inference solutions at the unique “Swiggy scale.”
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Research & Innovation: Stay abreast of the latest research in Ads Bidding and Recommendation Systems, adapting them to Swiggy’s specific problem statements.
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Knowledge Sharing: Publish and present work in internal and external forums to both technical and non-technical audiences.
Note: This role includes opportunities to work with Generative AI and Agentic AI, placing you at the forefront of modern AI development.
Candidate Profile: Qualifications & Skills
Swiggy is looking for problem solvers who can deconstruct issues from first principles. The ideal Swiggy Data Scientist candidate combines academic rigor with practical application.
Required Qualifications:
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Education: Bachelor’s or Master’s degree in a quantitative field (CS, Statistics, Math, etc.).
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Experience: 0–3 years of industry or research lab experience.
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Technical Stack: Strong proficiency in Python, SQL, Spark, and Tensorflow.
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Core Skills: Depth in applying ML/DL and statistical techniques to real-world business problems.
Preferred & “Big Plus” Skills:
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Experience with Generative AI, LLMs (Large Language Models), and Agentic AI.
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Background in the e-commerce or logistics space.
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Experience working with “Big Data” and shipping models to production.
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Strong written and spoken communication skills.
Why Apply? Impact and Growth
Becoming a Swiggy Data Scientist offers more than just a competitive salary. It offers the chance to work on challenging projects in the logistics domain that affect daily life in India.
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Scale: Your models will run on one of the largest transactional platforms in the country.
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Mentorship: Work closely with cross-functional teams and seasoned data leaders.
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Innovation: Direct exposure to cutting-edge GenAI and Agentic AI workflows.
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Ownership: Take projects from inception to delivery, ensuring high-quality results.
How to Apply
Applications for the Swiggy Data Scientist role are now open. Due to the high volume of interest (over 100 applicants in the first hour), candidates are encouraged to apply immediately.
Location: Bengaluru, Karnataka (On-site) Job Type: Full-time
[Click Here to Apply]