Swiggy is hiring Data Scientists to work on machine learning, deep learning, and AI-driven solutions that impact business growth and customer experience. The Swiggy Data Scientist Jobs offer a challenging and innovative environment where candidates will develop ML algorithms, optimize ads, and work on recommendation systems.
If you have a strong background in Python, SQL, AI/ML models, and data-driven problem-solving, this is an opportunity to work at one of India’s fastest-growing tech companies with a remote-friendly work model.
About Swiggy
Swiggy is India’s leading food delivery, quick commerce, and logistics platform, operating in 500+ cities. The company leverages data science, AI, and ML to enhance its services, optimize delivery logistics, and improve customer experiences.
As a Data Scientist at Swiggy, you will work on cutting-edge AI solutions that drive advertising efficiency, logistics optimization, and customer personalization.
Job Overview
- Role: Data Scientist
- Location: Bangalore (Remote Work Available)
- Salary: Up to ₹8 LPA
- Qualification: Any Graduate in a quantitative field (Computer Science, Statistics, AI/ML, etc.)
- Experience: 0-3 Years
- Employment Type: Full-Time
Key Responsibilities
Machine Learning & Data Modeling
- Develop ML/DL models to improve advertisement recommendations and campaign performance.
- Optimize bidding algorithms and AI-based ad ranking models.
- Work on big data analytics to enhance customer engagement and experience.
Data Engineering & AI Development
- Mine large datasets and extract actionable insights to solve business challenges.
- Develop and deploy Generative AI, LLMs (Large Language Models), and NLP-based solutions.
- Work with Python, SQL, TensorFlow, and Spark for data analysis and model training.
Business Impact & Product Development
- Collaborate with product managers, engineers, and business teams to integrate AI-driven solutions.
- Research state-of-the-art AI techniques and implement them at Swiggy scale.
- Publish findings in internal and external AI/ML communities.
Who Can Apply? (Eligibility Criteria)
Educational Qualification
- Bachelor’s or Master’s Degree in Computer Science, Statistics, AI, Data Science, or a related field.
Technical Skills & Expertise
- Strong Python programming skills.
- Proficiency in SQL, TensorFlow, Spark, and AI/ML frameworks.
- Hands-on experience in machine learning, deep learning, NLP, and big data processing.
- Strong problem-solving and analytical thinking ability.
Preferred Experience
- 0-3 years of experience in AI, ML, or data analytics.
- Experience working in eCommerce, logistics, or advertising AI models.
- Familiarity with agentic AI, reinforcement learning, and automated ML pipelines.
Why Join Swiggy?
Competitive Salary & Work Flexibility
- Attractive salary package up to ₹8 LPA.
- Remote-friendly work model with flexible schedules.
Innovative AI & ML Research
- Work on cutting-edge AI projects in advertising, recommendation systems, and customer engagement.
- Opportunities to publish research and collaborate with global AI/ML teams.
Learning & Career Growth
- Access to AI/ML certifications, mentorship programs, and skill development courses.
- Opportunities for promotions into AI leadership roles.
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Application Process
Follow these steps to apply for Swiggy Data Scientist Jobs:
- Online Registration – Visit the Swiggy Careers page and submit your application.
- Resume Screening – Applications are shortlisted based on qualifications and technical expertise.
- Online Technical Assessment – Candidates complete coding, SQL, and ML problem-solving tests.
- Technical Interview – Evaluation of ML/DL concepts, AI algorithms, and data engineering skills.
- HR Discussion – Salary negotiation, role expectations, and Swiggy’s work culture discussion.
- Final Offer & Onboarding – Selected candidates receive an offer letter and onboarding details.
Hiring & Selection Process
Swiggy follows a structured selection process for Data Scientist roles:
- Initial Resume Review – Focus on AI/ML expertise, project experience, and coding skills.
- Online Technical Test – Evaluation of Python, SQL, TensorFlow, and problem-solving abilities.
- Technical Interviews – Assessment of ML techniques, data modeling, and optimization approaches.
- HR Discussion – Final evaluation on salary, work expectations, and company policies.
- Final Offer & Training – Selected candidates undergo training on Swiggy’s AI/ML ecosystem.
Apply Now
Swiggy is offering a high-impact career opportunity for Data Scientists to work on AI-driven solutions, ML modeling, and big data analytics. If you are passionate about AI, data-driven decision-making, and cutting-edge technology, this role is for you.
Start your career as a Swiggy Data Scientist and contribute to AI innovation, customer experience optimization, and business growth.
Here is the Apply Link: Click Here
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Important Hiring Information
- Swiggy does not charge any fees for job applications. Report any fraudulent job offers immediately.
- Remote work is available, with periodic in-office meetings required.
- All selected candidates will undergo structured technical training before onboarding.
Job Application Tips
- Optimize Your Resume – Highlight experience in AI, ML, NLP, and data engineering.
- Prepare for Technical Assessments – Focus on coding, SQL, and TensorFlow-based problem-solving.
- Develop Advanced AI Skills – Learn about Generative AI, Agentic AI, and Deep Learning.
- Enhance Problem-Solving Abilities – Practice real-world AI/ML case studies and data-driven projects.