Swiggy Offering Data Science Internship [6 Month, Stipend Available] Apply Now in 2025

If you’re passionate about data, analytics, and innovation, here’s your chance to work with one of India’s most dynamic tech companies. Swiggy is inviting applications for its Data Science Internship 2025, a 6-month full-time program that offers hands-on experience along with a competitive stipend.

This internship is perfect for students and recent graduates eager to explore applied machine learning, data modeling, and statistical analysis in real business scenarios. Let’s dive into all the details — from eligibility to application process, key responsibilities, and benefits.

About Swiggy

Swiggy, one of India’s biggest online food delivery and logistics platforms, has transformed the way cities eat and move. Founded in 2014, the company has become synonymous with convenience and innovation in the food-tech sector.

Beyond its popular delivery service, leverages advanced data science, AI, and machine learning models to optimize operations — from predicting delivery times and managing logistics to offering personalized recommendations.

That’s why Swiggy’s Data Science Internship is one of the most sought-after student programs in India — it gives applicants the chance to solve real-world tech challenges at scale.

About the Data Science Internship

The Data Science Internship 2025 is designed to give students deep exposure to real-life data science projects. Over six months, interns will collaborate with Data Science and Analytics teams to work on high-impact problems across customer personalization, forecasting, and logistics optimization.

Internship Type: Full-time
Location: Bengaluru (Hybrid options may be available)Duration: 6 Months
Internship Year: 2025Stipend: Competitive monthly stipend
Department: Data Science & Analytics

Through this program, interns will gain hands-on experience with advanced data pipelines, statistical models, and business insights — the same systems that power India’s largest on-demand logistics network.

Roles and Responsibilities

As a Swiggy Data Science Intern, you’ll be part of a dynamic team working on data-driven solutions that directly impact millions of users. Here’s what you’ll be doing:

• Assisting in the design, training, and deployment of machine learning models.
• Conducting exploratory data analysis (EDA) to identify patterns, insights, and anomalies.
• Collaborating with engineers and business analysts to translate data findings into actionable recommendations.
• Cleaning, organizing, and validating large-scale real-world datasets.
• Performing feature engineering and model evaluation for performance tuning.
• Building dashboards and visualizations to communicate insights effectively.
• Participating in team discussions to conceptualize data-driven strategies for core services.

Each intern at works under the mentorship of experienced data scientists and engineers, ensuring continuous learning and feedback.

Eligibility Criteria

Applicants for the Data Science Internship must meet the following criteria:

• Pursuing or recently completed a B.E./B.Tech/M.Tech/M.Sc in Computer Science, Statistics, Mathematics, Data Science, or relevant fields.
• Strong foundation in probability, statistics, and data analysis.
• Proficiency in Python, SQL, and relevant data libraries (like NumPy, Pandas, Scikit-learn).
• Basic understanding of machine learning models and algorithms.
• Excellent analytical, communication, and problem-solving skills.
• Availability for a full-time, 6-month internship in 2025.

Students graduating in 2025 or 2026 with relevant coursework or project experience in data science, AI, or analytics are highly encouraged to apply.

Key Skills Required

To make the most of this opportunity, candidates should bring both technical and analytical skills to the table.

Technical skills:

• Python or R programming
• SQL and database management
• Data visualization tools (Tableau, Power BI, or Matplotlib/Seaborn)
• Machine learning models (linear regression, classification, clustering)
• Understanding of statistics and probability

Soft skills:

• Team collaboration
• Communication and presentation skills
• Curiosity for solving business problems with data
• Self-motivation and time management

These skills not only make you a strong intern but also prepare you for future roles in analytics, data engineering, or applied AI.

Internship Benefits

At Swiggy, the internship isn’t just about completing projects—it’s about creating value while learning from India’s best data professionals. Here are some benefits you can expect:

• Hands-on Industry Experience: You’ll work on live projects directly tied to Swiggy’s core operations.
• Stipend: Interns receive a monthly stipend, ensuring that your dedication is rewarded.
• Mentorship: Learn from senior data scientists and domain experts in analytics and AI.
• Networking: Connect with professionals across engineering, product, and business teams.
• Certification: Receive an official internship certificate upon successful completion.
• Career Pathways: Top-performing interns often gain pre-placement opportunities (PPOs) or full-time employment consideration within Swiggy’s data teams.

This internship provides a unique blend of technical growth, business impact, and career-building experience.

Work Culture at Swiggy

Swiggy’s workplace culture is defined by creativity, innovation, and experimentation. Interns are encouraged to take ownership of projects, share ideas, and learn continuously.

Even as an intern, you become part of a team that experiments with AI-driven forecasting, delivery optimization, and personalized recommendation systems.

The fast-paced environment and open communication structure ensure that you learn not only data skills but also how data shapes decisions in modern tech companies.

Application Process

Ready to apply? Follow these steps to apply for the Swiggy Data Science Internship 2025:

1. Visit the Swiggy Careers portal.
2. Search for “Data Science Internship 2025” under the Internship section.
3. Click Enroll For Free and log in or sign up on the Swiggy career site.
4. Fill out your personal, academic, and technical details.
5. Upload your resume, projects, or GitHub profile showcasing your data or ML work.
6. Submit your application before the listed deadline.

Shortlisted candidates will be contacted by the Swiggy recruitment team for interviews, which may include:

• A short online technical assessment or case challenge.
• One or more rounds of interviews (technical and HR).

The process is designed to identify candidates who combine analytical ability with problem-solving creativity.

Why You Should Apply

With massive data volumes flowing through its platform daily, Swiggy operates at a scale that provides unmatched learning for data science aspirants. You’ll learn to analyze user behaviors, design predictive models, and improve operational algorithms — skills that put you miles ahead in your career.

Whether you aim to work in AI, analytics, or product data, this internship is your stepping-stone to a high-impact career in data science and technology.

Here’s why this opportunity stands out:

• Exposure to real business data problems at large scale.
• 1-on-1 mentorship from experienced data scientists.
• Stipend-backed, professionally structured internship experience.
• A chance to transition into a full-time role post-internship.

So if you’re driven by data, fascinated by AI, and ready to take on analytical challenges at India’s leading tech platform, this internship is for you.

How to Apply?

If you are an Interested Candidate, you can apply for the Swiggy Offering Data Science Internship [6 Month, Stipend Available] Enroll For Free in 2025 Click Here.

Final Thoughts

The Swiggy Data Science Internship 2025 is a golden opportunity for aspiring data professionals to bridge the gap between academic learning and industry application. Over six months, you’ll experience how data transforms user experiences, logistics networks, and strategic decision-making.

With a generous stipend, professional mentorship, and access to real-world problems, this program promises both learning and career growth.

If you’ve been waiting for the perfect mix of data science and practical business impact, your wait is over.