Swiggy, India’s leading food delivery and hyperlocal services platform, is hiring Data Scientist I for its Bangalore office. This role is perfect for freshers and early-career professionals who want to work on real-world AI, ML, and large-scale data problems.

Swiggy uses advanced Machine Learning, Deep Learning, Generative AI, and Optimization techniques across multiple products. The Data Science team helps solve problems in logistics, customer experience, recommendations, and ad optimization.

Job Overview Table

Category	Details
Company	Swiggy
Role	Data Scientist I
Location	Bangalore, Karnataka
Experience Required	0–3 years
Qualification	Bachelor’s or Master’s in a quantitative field
Tech Skills	Python, SQL, Spark, TensorFlow, ML/DL
Domain	Ads, Recommendations, Logistics, Optimization
Employment Type	Full-time
Industry	Food Tech, Hyperlocal Services, AI/ML

Introduction

Data Science has become the backbone of Swiggy’s decision-making and product innovation. From delivery assignment to food recommendations to ads bidding, AI and ML power many real-time systems used by millions of customers daily.

The Data Scientist I role allows young professionals to work on cutting-edge problems using Deep Learning, Statistics, Generative AI, and Big Data systems. Swiggy is known for its fast-paced environment, strong engineering culture, and opportunities to publish and showcase innovative work.

About the Team & Work Culture

Swiggy’s Data Science team works closely with engineers, analysts, product managers, and business leaders. It is a collaborative, research-driven, and experimentation-friendly environment.

The team:

• Builds ML models from concept to production
• Publishes internal/external papers
• Works on high-impact projects
• Encourages innovation and open sharing of ideas
• Uses large-scale real-time data

This role helps you learn deeply, grow technically, and contribute to meaningful solutions.

Key Responsibilities

1. Build ML/DL Solutions

You will use Machine Learning, Deep Learning, and Statistics to build next-generation models for:

• Ads recommendation
• Campaign optimization
• Personalized suggestions
• Logistics and delivery systems

This includes experimenting with algorithms, preprocessing data, and improving accuracy.

2. Analyze and Mine Big Data

Swiggy has massive historical datasets, including customer behavior, order patterns, delivery networks, and restaurant insights.
You will extract meaningful insights to solve business and customer experience challenges.

3. Develop End-to-End ML Pipelines

You will work with engineers and stakeholders to build:

• Feature pipelines
• Inference systems
• Deployment workflows

The models you build will be used in real-time Swiggy systems.

4. Keep Up With ML Research

Swiggy encourages learning from global research in:

• Ads bidding algorithms
• Recommendation systems
• Deep learning trends
• Generative AI
• Agentic AI & LLM automation

You will adapt new techniques to Swiggy’s use cases.

5. Publish & Present Work

Data scientists at Swiggy often present in:

• Internal tech forums
• External meetups
• Blogs
• Conferences

This helps build your professional brand.

6. Collaborate With Cross-Functional Teams

You will work with:

• Software Engineers
• PMs
• Analysts
• Product Designers

This helps implement data-driven solutions into real systems.

7. Deploy ML Models

The job involves taking ownership of models from idea → development → testing → deployment.

You ensure the models are scalable, stable, and high-quality.

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Skill Requirements

Must-Have Skills

• Strong understanding of ML, DL, Statistics
• Excellent problem-solving & first-principles thinking
• Experience in Python, SQL, Spark
• Hands-on knowledge of TensorFlow or PyTorch
• Ability to explain technical concepts clearly
• Data cleaning, feature engineering, evaluation metrics

Good to Have

• Big Data experience
• ML model deployment experience
• E-commerce or logistics domain knowledge
• Generative AI or LLM experience
• NLP model experience
• Agentic AI knowledge

Swiggy values curiosity, ownership, and the ability to learn quickly.

Why This Role Is Great for Your Career

1. Real Impact on Millions

Your models will improve customer experience, reduce delivery time, optimize ads, and help restaurants grow.

2. Work on Modern AI

You will gain hands-on experience with:

• Recommendation engines
• Ads bidding systems
• Deep learning architectures
• Optimization algorithms
• LLMs & Generative AI

3. Strong Learning Culture

Swiggy provides exposure to:

• Open research discussions
• Expert mentorship
• Internal presentations
• Cross-team learning

4. Ownership & Growth

You will own projects end-to-end, which builds strong product thinking and technical leadership.

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Conclusion

Swiggy’s Data Scientist I role is a great opportunity for freshers and early-career professionals with strong ML/DL foundations. The role offers hands-on work with real data, exposure to cutting-edge AI techniques, and the chance to build products used at national scale.

If you want to grow your career in Data Science and work on meaningful, high-impact projects, this role is an excellent fit.