Swiggy Off-Campus Hiring 2025 – Data Scientist I Role
Swiggy Off-Campus Hiring 2025: Are you enthusiastic about using data to address real-world issues? Are you a natural in a fast-paced, dynamic working environment in which your work directly impacts customer experience and business growth? If yes, then this Data Scientist I job at Swiggy, located in Bangalore, Karnataka, might be the perfect chance to start or grow your career in the field of data science.
This position, which is specifically targeted for those who have 0-3 years of work experience, is a rare mix of remote working that is flexible, hands-on machine-learning (ML) as well as deep learning (DL) tasks, as well as the opportunity to use cutting-edge technologies in the logistics and e-commerce sector. Let’s explore what makes this position fascinating and how to make yourself an ideal candidate.
Why Choose Swiggy for Your Data Science Career?
Swiggy is a leading food logistics and delivery platform in India, and is deeply dedicated to making decisions based on data. The team of data scientists at the company is a key factor in shaping the development of products and the business strategy. As a Data Scientist I you’ll be involved in a variety of impactful projects that help improve customer experiences and improve business metrics. Swiggy encourages a community-based culture by encouraging open sharing of ideas and even publishing your work on external and internal forums. Additionally, thanks to the remote-first approach to work, it gives you the freedom to work all year round, while meeting your colleagues in Bangalore every quarter to promote collaboration and ingenuity.
This position is ideal for young professionals or new graduates with a solid foundation of ML, DL or statistics who are looking to make their mark in the e-commerce and logistics field. When you’re mining huge datasets or using advanced recommendation systems, you’ll be given the chance to solve difficult problems and watch the solutions you devised become reality on a large scale.
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What You’ll Do as a Data Scientist at Swiggy
As you work as a Data Scientist at Swiggy, your job will be focused on creating and deploying ML and DL models to address customer experience and business (CX) issues. Here’s a more detailed view of the responsibilities you’ll be assuming:
- Create Next-Generation Solution: Make use of your experience with ML, DL and statistics to develop new solutions for ad recommendation systems as well as optimisation of the performance of campaigns. You’ll employ advanced methods to make sure that ads are effective and relevant.
- Mining and Analysing Big Data: Take a dive into the huge historical data of Swiggy to uncover actionable information. Your ability to recognise patterns and offer solutions directly impacts the business strategy and satisfaction of customers.
- Collaboration across functions: Collaborate closely with product managers, engineers and analysts to determine specifications, create technical solutions, and set up end-to-end systems of inference at the scale of Swiggy.
- Stay ahead of the curve with ML Research: Keep current with the most recent developments in the field of ad bidding algorithms, recommendation systems, bidding algorithms, along with related disciplines, adjusting them to the unique requirements of Swiggy.
- Make Your Work Available: Your findings should be presented and solutions to technical and non-technical audience members via internal forums, external conferences or in publications.
- Create your impactful projects: You can take full control of your projects in the logistics domain, from concept to implementation, ensuring top-quality outcomes that yield quantifiable results.
What Swiggy Looks for in Candidates
To be successful in this job, it is necessary to have a blend of technical knowledge along with problem-solving capabilities and a love of data-driven innovations. This is what Swiggy is searching for:
- Education Background: A Bachelor’s degree or Master’s degree that is a quantitative area like statistics, computer science, engineering, mathematics, or a related field.
- Experience: 3 to 5 years of research lab or industrial experience using data sciences, machine learning or DL. Fresh graduates who have strong academic projects or internships are invited to apply.
- Technical Skills:
- Essential Proficiency in Python, SQL, Spark and TensorFlow to create and deploy models using ML/DL.
- Preferred: Experience using big data platforms and sending ML/DL models to production.
- Bonus: Experience with agentsic AI, generative AI and large language models (LLMs) and natural processing of language (NLP).
- Problem-Solving: Ability to analyse complex problems and develop solutions based on fundamental foundational principles.
- Communication: Strong oral and written skills in communication to work in cross-functional teams and professionally communicate your work.
- Domain Expertise: Experience in logistics or e-commerce is a huge advantage, since it’s in sync with the Swiggy core business.
Why This Role Stands Out
The Data Scientist I role at Swiggy is more than the job itself. It’s an opportunity to develop in a high-impact and innovative work environment. This is why it’s unique:
- Highly Impactful projects: Do projects that directly improve customer service and help drive business growth, for example, optimising ads or improving logistics efficiency.
- Advanced Technology: Experience hands-on learning using the generative AI, LLMs, and NLP, which puts you at the cutting-edge of innovation in data science.
- Flexible Work Method: Enjoy the flexibility of remote work, utilising quarterly meetings in person, providing an ideal balance of autonomy and collaboration.
- Career Development: Swiggy’s culture of collaboration and focus on publishing offer opportunities to enhance your professional profile and increase your connections.
- Logistics and E-Commerce Exposure: Get invaluable experience in one of the fastest-growing industries in India and prepare yourself for a successful career as a data scientist.
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How to Prepare for the Role
To make yourself stand out as a potential candidate, concentrate on the following factors:
- Get a head start on your technical skills: Make sure you are proficient in Python, SQL, Spark and TensorFlow. Build models using ML/DL and practice using them in real-world scenarios.
- Showcase your problem-solving skills: Highlight projects in which you’ve solved complex problems using first-principles thinking. Include these on your resume or portfolio.
- Learn about Swiggy’s Domain: Explore logistics and e-commerce challenges, such as recommendation systems and supply chain optimisation.
- Build a Strong Portfolio: Add personal or academic projects involving intelligent AI, NLP, or recommendation systems to show your skills.
- Training in Communication: Prepare to communicate the technical aspects to nontechnical people, since this is an essential element of the job.
How to Apply
Are you ready for that next step? Visit Swiggy’s careers site or browse the job listings via LinkedIn (Job ID number: 210771) and apply. Make sure your resume is tailored to highlight your relevant expertise and projects, as well as your cover letter, to demonstrate your love for data science and align with the goals of Swiggy.
