Swiggy is hiring for a fresher entry level Data Scientist role in India

Position:

• Data Scientist I

• Entry-level position designed for candidates who are beginning their careers in data science and applied machine learning

• Focus on solving business-critical problems using mathematical modeling, machine learning, and data-driven decision making

• Core responsibilities include applying ML/DL techniques, statistical models, and optimization strategies to real-world problems at scale

Company:

• Swiggy

• Leading food delivery and convenience platform in India

• Known for integrating advanced technology and data science into its everyday operations to improve customer experiences and business outcomes

• Operates across multiple verticals including food delivery, grocery, and logistics services

Location:

• Bangalore, Karnataka, India

• Primary hub for Swiggy’s data science and technology teams

• Access to Swiggy’s large ecosystem of operational, customer, and business data for experimentation and production work

Job type:

• Full-time position

• Permanent employment with opportunities for long-term growth and career progression

• Access to benefits, internal learning resources, and mentorship

Job mode:

• Onsite/Hybrid (primarily Bangalore-based)

• Requires collaboration with cross-functional teams, hence significant in-office interaction

• Flexibility for remote working on project-specific needs may exist but is not the core mode

Job requisition id:

• 21603

Years of experience:

• 0 to 3 years

• Suitable for fresh graduates, early-career professionals, or candidates with limited applied experience in research labs or industry settings

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Company description:

• Swiggy is one of India’s most recognized technology-driven consumer platforms, best known for revolutionizing the food delivery space and expanding into multiple verticals such as groceries, instant convenience, and last-mile logistics.

• With a mission to bring convenience to every Indian household, Swiggy integrates innovative business models with cutting-edge technology. Its strong foundation in data science, machine learning, and artificial intelligence powers many of its business decisions and customer-facing features.

• The company encourages a collaborative and open culture where employees are motivated to think critically, innovate, and share their insights both internally and externally.

• Swiggy’s engineering and data science teams operate at the heart of its operations, ensuring products and services are optimized for performance, reliability, and customer delight.

• With a massive scale of data generated from millions of transactions daily, Swiggy has built one of the largest data ecosystems in India. This ecosystem provides unique opportunities for data scientists to solve challenging and impactful problems that directly influence customer experience, operational efficiency, and revenue growth.

• As an equal opportunity employer, Swiggy values inclusivity, diversity, and merit-based growth. It ensures that all applicants, regardless of background, are considered fairly for opportunities.

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Profile overview:

• The Data Scientist I role at Swiggy is tailored for individuals who are passionate about applying data-driven approaches to real-world challenges in the consumer tech and logistics domain.

• The position requires strong analytical and problem-solving skills, combined with a solid foundation in statistics, machine learning, and programming.

• The selected candidate will join Swiggy’s data science team, which is deeply embedded in product development and business decision-making processes.

• This team works end-to-end, starting from problem formulation, data exploration, and algorithm design to deploying ML/DL solutions at production scale.

• Responsibilities span across improving ad recommendation systems, enhancing campaign performance, developing bidding algorithms, and driving innovation in personalization and logistics optimization.

• The role offers exposure to cutting-edge techniques in deep learning, recommendation systems, generative AI, and large language models.

• It provides an opportunity to collaborate with engineers, analysts, and product managers, ensuring solutions are implemented effectively and achieve measurable business impact.

• The position also encourages thought leadership, with opportunities to publish, present, and share findings across internal and external forums.

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Qualifications:

• A Bachelor’s or Master’s degree in a quantitative discipline such as Computer Science, Data Science, Statistics, Mathematics, Operations Research, or a related field.

• Strong foundation in problem-solving, with the ability to break down complex challenges into structured, solvable components.

• Hands-on knowledge and application of statistical modeling, machine learning, and deep learning techniques.

• Proficiency in programming languages and tools such as Python, SQL, TensorFlow, and Spark.

• Strong communication skills, both written and verbal, enabling effective collaboration and presentation of ideas to both technical and non-technical audiences.

• Exposure to working with large datasets and familiarity with concepts of big data infrastructure.

• Experience in deploying ML/DL models into production is highly valued, though not mandatory for entry-level candidates.

• Added advantage if the candidate has experience in e-commerce, logistics, or related consumer-facing industries.

• Preferred exposure to emerging areas such as generative AI, agentic AI, natural language processing, and advanced recommendation systems.

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Additional info:

• The role is designed to give early-career professionals exposure to impactful projects that operate at the intersection of technology, data, and consumer behavior.

• Candidates will get the chance to work on real-world challenges with tangible outcomes for millions of users across India.

• There is a strong emphasis on ownership, where individuals are expected to take charge of projects from ideation to deployment, ensuring quality and scalability.

• Swiggy’s collaborative culture allows data scientists to learn from peers, contribute to cross-functional projects, and grow in both technical and business acumen.

• The company stays aligned with the latest in global research and actively encourages employees to adapt new techniques to practical use cases.

• Thought leadership is supported by platforms to present work, share knowledge, and gain recognition both within and outside the company.

• Swiggy provides equal opportunities, with policies ensuring no discrimination based on race, gender, religion, or disability.

• Employees are encouraged to bring their authentic selves to work, fostering a healthy and productive environment.

Please click here to apply.