If you’re aiming to build a career in Artificial Intelligence, Machine Learning, or Data Science, the Data Scientist I role at Swiggy is an exciting opportunity you should not miss. With 0–3 years of experience required, this position is ideal for freshers and early-career professionals who want to work on real-world problems at scale.
In today’s data-driven world, companies rely heavily on intelligent systems to optimize operations, improve user experience, and drive business growth. At Swiggy, data science is not just a support function it is deeply embedded into product development and decision-making. This means your work as a data scientist will directly influence millions of users and business outcomes.
About the Company
Swiggy is one of India’s leading food delivery and quick-commerce platforms, known for revolutionizing how people order food and groceries.
Founded with a vision to make food ordering seamless and convenient, Swiggy has grown into a tech-driven organization that leverages advanced analytics, machine learning, and AI to optimize delivery logistics, recommendations, and customer experience.
The company operates at massive scale, handling millions of orders daily, making it an ideal environment for data scientists to work on complex, high-impact problems.
Role Overview
As a Data Scientist I, you will work on building and deploying machine learning models that enhance user experience and business performance. The role involves solving real-world problems such as recommendation systems, ad optimization, and logistics efficiency.
You will collaborate with engineers, product managers, and analysts to design scalable solutions and take them from concept to production. This role is perfect for individuals who enjoy combining mathematics, programming, and business understanding to create impactful solutions.
Key Responsibilities
- Develop machine learning and deep learning models for recommendation systems and ads optimization
- Analyze large-scale datasets to extract meaningful insights and patterns
- Translate business problems into mathematical and ML-based solutions
- Work on end-to-end deployment of ML models at scale
- Collaborate with cross-functional teams (engineering, product, analytics)
- Stay updated with latest research in ML, DL, and AI technologies
- Optimize campaign performance using advanced algorithms
- Work on logistics and customer experience improvement projects
- Communicate findings to both technical and non-technical stakeholders
- Take ownership of projects from ideation to production
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Who Can Apply (Eligibility)
| Criteria | Details |
|---|---|
| Experience | 0–3 Years |
| Job Type | Full-Time |
| Location | Bangalore |
| Education | Bachelor’s/Master’s in a quantitative field |
| Skills Required | ML, DL, Statistics, Programming |
Salary (Estimated) 💰
For a Data Scientist I at Swiggy, the salary typically varies based on experience, skills, and interview performance.
- Estimated Salary Range: ₹10 LPA – ₹18 LPA
- High performers or candidates with strong ML/AI experience may receive higher packages
Preferred Skills
- Strong knowledge of Machine Learning, Deep Learning, and Statistics
- Proficiency in Python, SQL, Spark, TensorFlow
- Experience with big data technologies
- Knowledge of recommendation systems and optimization algorithms
- Understanding of Generative AI, NLP, and LLMs
- Strong problem-solving and analytical thinking
- Good communication and collaboration skills
- Experience in e-commerce or logistics (plus point)
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Perks & Benefits 🎁
- Competitive salary and performance bonuses
- Opportunity to work on large-scale real-world problems
- Exposure to advanced ML and AI technologies
- Collaborative and innovative work environment
- Learning and development opportunities
- Health and wellness benefits
- Flexible work culture (role-dependent)
What You’ll Gain
Working at Swiggy as a Data Scientist offers immense career growth opportunities:
- Hands-on experience with production-grade ML systems
- Exposure to large-scale data and real-time decision-making
- Opportunity to work on recommendation engines and AI-driven systems
- Strong foundation in applied machine learning and analytics
- Opportunity to publish and share your work internally and externally
How to Apply 🚀
To improve your chances of selection, follow these steps:
- Build strong projects in machine learning, NLP, or recommendation systems
- Showcase your work through GitHub or portfolio
- Practice data structures, algorithms, and ML concepts
- Prepare for case studies and real-world problem-solving questions
- Highlight internships or research experience in your resume
👉 Apply by clicking the button below and submitting your application
Final Thoughts
The Swiggy Data Scientist I role is a fantastic opportunity for candidates who want to work at the intersection of data, AI, and real-world impact. With access to massive datasets and challenging business problems, this role can significantly accelerate your career in data science.
If you’re passionate about solving complex problems using data and want to work in a fast-paced tech-driven company, this job is definitely worth applying for.
Disclaimer
This job information is collected from official or public sources. We do not charge any fees for job applications and do not guarantee recruitment. Candidates are advised to verify details from the official source before applying. We are not responsible for any loss arising from reliance on this information.
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