Opportunity at
SwiggyData Scientist I
Swiggy is looking for a Data Scientist I based in Bangalore, Karnataka, for a full-time, on-site role that asks for one to three years of industry…
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About This Role
Swiggy is looking for a Data Scientist I based in Bangalore, Karnataka, for a full-time, on-site role that asks for one to three years of industry or research lab experience. The position centres on machine learning and deep learning work that improves the quality of ad recommendations, along with optimisation techniques that raise campaign performance. A large part of the job is digging through Swiggy's historical data to answer business…
Job Description
Swiggy is looking for a Data Scientist I based in Bangalore, Karnataka, for a full-time, on-site role that asks for one to three years of industry or research lab experience. The position centres on machine learning and deep learning work that improves the quality of ad recommendations, along with optimisation techniques that raise campaign performance.
A large part of the job is digging through Swiggy's historical data to answer business and customer experience questions, then building end-to-end inference solutions that run at Swiggy's scale. The data scientist works with engineers, product managers and analysts on requirements, technical designs and delivery, and takes projects from first idea through to launch. Keeping up with research on ad bidding and recommendation systems, and adapting it to Swiggy's problems, is expected. The role also involves sharing findings in internal and external forums for both technical and non-technical audiences, and it offers work on logistics-domain challenges.
Candidates need a bachelor's or master's degree in a quantitative field and hands-on experience applying machine learning, deep learning and statistics to business problems. Strong problem-solving skills, the ability to reason from first principles, and fluency in Python, SQL, Spark and TensorFlow are required, along with clear spoken and written communication. Experience with large-scale data, shipping ML models to production, e-commerce or logistics, generative AI, agentic AI, large language models and natural language processing are listed as advantages.
Responsibilities
- Build machine learning and deep learning solutions that improve ad recommendation quality
- Apply optimisation techniques to lift campaign performance
- Mine historical data to identify solutions to business and customer experience problems
- Deliver inference systems from start to finish, at production scale, working with engineers, product managers and analysts
- Follow research on ad bidding and recommendation systems and adapt it to Swiggy's problems
- Share findings at internal and outside events, for technical and general audiences alike
Requirements
- Bachelor's or master's qualification in a numerate discipline, plus one to three years of industry or research lab experience
- Hands-on experience applying ML, deep learning and statistical techniques to business problems
- Fluent use of Python, SQL, Spark and TensorFlow
- Clear speaking and writing skills
- Problem-solving that works from first principles
Qualifications
- Experience with big data and shipping ML or DL models to production (preferred)
- Experience in e-commerce and logistics (a big plus)
- Experience in generative AI, agentic AI, LLMs and NLP
- Proven experience building and releasing ML and DL data products
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is the job located?
The role is listed in Bengaluru, Karnataka, and is an on-site position.
How much experience is required?
One to three years of industry or research lab experience, with a bachelor's or master's degree in a quantitative field.
Which tools are required?
Python, SQL, Spark and TensorFlow are required. Generative AI, LLMs and NLP are listed as advantages.
What is the salary?
The posting does not specify a salary.
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