Swiggy is seeking interns for its Summer Data Science Internship Opportunity. The Quick Commerce domain has witnessed tremendous growth in recent years, with Swiggy being one of the top players. Here’s an exciting opportunity for you to apply your Data Science skills to tackle some of the most challenging problems across various facets of running a food/grocery delivery business, which ultimately provides unparalleled convenience to our consumers.
What you’ll learn and work on
- From demand forecasting to ensuring product availability, recommending relevant restaurants or items, to providing accurate ETA predictions, the scope of problems is vast.
- As an intern, you’ll delve into the latest developments in ML/AI literature, adapting and applying them to real-world business scenarios at scale.
- You’ll gain invaluable experience with end-to-end system understanding, from problem-solving to model building, conducting A/B experiments and finally getting a product scaled which touches the lives of millions of customers.
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What you should have
- Strong fundamentals in ML/DL and hands-on experience in working with GBT/Random Forest/DNN models,
- Strong coding skills (in Python),
- Enthusiasm and attitude in getting things done at industry scale
Nice to have
– Proficiency in Pyspark/SQL.
– Knowledge and implementation of contextual bandits.
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Important Note
The internships are open to pre-final/ final year undergraduate students (or masters students) and available for a period of 6 months (full-time), starting April 2024.
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