Looking for Data Scientist Jobs in Bangalore? Swiggy is hiring Data Scientists with 1–3 years of experience to join its growing Data Science team. This opportunity is ideal for professionals who are passionate about Machine Learning, Deep Learning, Artificial Intelligence, and data-driven problem solving.
As a Data Scientist at Swiggy, you’ll work on large-scale real-world challenges, including recommendation systems, advertising optimization, Generative AI, and predictive analytics. You’ll collaborate with product managers, software engineers, and analysts to build intelligent solutions that improve customer experience and business performance.
If you’re experienced in Python, SQL, Spark, TensorFlow, Machine Learning, and statistical modeling, this role offers the chance to work on impactful products used by millions of users across India.
Data Scientist Jobs Overview
| Particular | Details |
|---|---|
| Company | Swiggy |
| Job Role | Data Scientist |
| Job Location | Bangalore, Karnataka |
| Experience | 1–3 Years |
| Qualification | Bachelor’s or Master’s Degree in a Quantitative Field |
| Employment Type | Full-Time |
| Industry | Food Delivery & Technology |
| Salary | Not Disclosed |
About Swiggy
Swiggy is one of India’s leading technology-driven consumer platforms, serving millions of customers through food delivery, quick commerce, and logistics solutions. The company uses advanced data science, artificial intelligence, and machine learning to solve complex business problems and deliver seamless customer experiences.
With a strong engineering culture and a data-first approach, Swiggy empowers its teams to experiment, innovate, and build scalable solutions that directly influence business growth and customer satisfaction.
About the Data Scientist Role
As a Data Scientist, you’ll work on designing and deploying machine learning solutions that solve real business challenges. From improving advertisement recommendations and campaign performance to building intelligent prediction models, you’ll play a key role in transforming data into actionable insights.
You’ll collaborate with cross-functional teams, including engineers, product managers, and business stakeholders, to build production-ready AI solutions. The role also offers exposure to cutting-edge technologies such as Generative AI, Large Language Models (LLMs), recommendation systems, and deep learning.
This is an excellent opportunity for professionals who enjoy solving challenging problems using data and want to contribute to products used at a massive scale.
Data Scientist Job Responsibilities
As part of Swiggy’s Data Science team, your responsibilities may include:
- Designing and developing machine learning and deep learning models.
- Building AI-powered solutions to improve advertisement recommendations and campaign performance.
- Analyzing large-scale datasets to identify business opportunities and customer behavior patterns.
- Collaborating with engineers, product managers, and analysts to develop end-to-end ML solutions.
- Researching and implementing the latest advancements in recommendation systems and bidding algorithms.
- Deploying scalable machine learning models into production.
- Developing optimization techniques to improve business metrics and customer experience.
- Presenting technical findings to both technical and non-technical stakeholders.
- Contributing to innovative projects in logistics, AI, and data-driven decision-making.
Eligibility Criteria for Data Scientist Jobs
Candidates applying for this role should meet the following requirements:
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Data Science, Artificial Intelligence, or another quantitative discipline.
- 1–3 years of industry or research experience in Data Science or Machine Learning.
- Strong analytical thinking and problem-solving skills.
- Experience applying machine learning and statistical techniques to solve business problems.
- Good written and verbal communication skills.
Skills Required for Data Scientist Jobs
Swiggy is looking for candidates with a strong technical foundation in Data Science and Artificial Intelligence.
Programming & Data Technologies
- Python
- SQL
- Apache Spark
- TensorFlow
Machine Learning & AI
- Machine Learning
- Deep Learning
- Generative AI
- Large Language Models (LLMs)
- Natural Language Processing (NLP)
- Agentic AI
- Recommendation Systems
Analytical Skills
- Statistics
- Predictive Modeling
- Data Analysis
- Feature Engineering
- Model Optimization
Additional Skills
- Big Data Technologies
- Production ML Deployment
- Excellent Communication Skills
- Cross-functional Collaboration
- Problem Solving
Why Consider Swiggy for Data Scientist Jobs?
Swiggy offers an environment where data science directly influences product innovation and customer experience. Data Scientists work on large-scale datasets, build intelligent systems, and solve business problems that impact millions of users every day.
The role provides opportunities to work with modern AI technologies, recommendation engines, deep learning models, and Generative AI applications while collaborating with experienced engineers and product teams. If you’re looking to grow your career in Artificial Intelligence and Machine Learning, Swiggy provides both challenging work and continuous learning opportunities.
How to Improve Your Chances of Getting Selected
Experienced Data Scientist roles are highly competitive, so showcasing practical expertise is essential.
To strengthen your application:
- Build and maintain an active GitHub portfolio with end-to-end Machine Learning projects.
- Demonstrate experience with Python, SQL, and TensorFlow.
- Work on recommendation systems, predictive analytics, or NLP projects.
- Learn cloud-based ML deployment and MLOps concepts.
- Participate in Kaggle competitions or open-source AI projects.
- Highlight measurable business impact from your previous projects or professional experience.
- Keep your resume focused on achievements rather than listing technologies.
Recruiters often prefer candidates who can clearly explain how their models solved business problems and delivered measurable results.
Data Scientist Recruitment Process at Swiggy
Although the exact hiring process may vary, candidates can generally expect the following stages:
- Online Application
- Resume Screening
- Technical Assessment (if applicable)
- Machine Learning & Data Science Interview
- Hiring Manager Discussion
- HR Interview
- Final Offer
Preparing Python, SQL, statistics, machine learning concepts, system design basics, and project discussions can significantly improve your interview performance.
Salary and Benefits
Swiggy has not officially disclosed the salary for this position. In addition to competitive compensation, selected candidates may receive benefits such as:
- Opportunity to work on large-scale AI and ML products.
- Exposure to real-world recommendation systems and optimization problems.
- Collaboration with experienced Data Scientists and Engineers.
- Learning opportunities in Generative AI, NLP, and LLM applications.
- Career growth in one of India’s leading technology companies.
Work Location
This position is based in Bangalore, Karnataka, where you’ll work closely with cross-functional teams in a collaborative and innovation-focused environment.
Ready to Apply?
If this opportunity matches your experience and career goals, you can submit your application through Swiggy’s official careers portal. Before applying, ensure your resume highlights relevant machine learning projects, technical expertise, and measurable achievements.
Official Application
Apply for Swiggy Data Scientist Job
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GoFresher Career Tip
Hiring managers for Data Scientist roles look beyond certifications. A portfolio that demonstrates how you’ve cleaned data, engineered features, trained models, evaluated performance, and delivered business impact is often more valuable than multiple certificates. Document your projects well and be prepared to explain your approach during interviews.
Frequently Asked Questions
Who can apply for these Data Scientist Jobs at Swiggy?
Candidates with a Bachelor’s or Master’s degree in a quantitative field and 1–3 years of relevant experience can apply.
Where is the job located?
The position is based in Bangalore, Karnataka.
Which programming languages are required?
Strong proficiency in Python and SQL is required. Knowledge of Spark and TensorFlow is also preferred.
Is experience with Generative AI required?
Experience with Generative AI, LLMs, and NLP is considered an advantage for this role.
Does Swiggy require production ML experience?
Experience deploying machine learning models to production and working with big data technologies is preferred.
How can I apply?
Eligible candidates can apply through Swiggy’s official careers portal after reviewing the eligibility criteria and updating their resume.