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

Position:

• Data Scientist I

Company:

• Swiggy

Location:

• Bengaluru, Karnataka, India

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• 25043

Years of experience:

• 0 to 3 years

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Company description:

• Swiggy is one of India’s leading digital platforms focused on providing convenience services to urban consumers through technology driven solutions.

• Founded in 2014, the organization has built a strong presence across multiple service categories including food delivery, grocery delivery, dining experiences, and hyperlocal logistics.

• The company operates at a massive scale, serving millions of users across hundreds of cities, with a strong network of restaurant and delivery partners.

• Its food delivery vertical connects users with a wide range of restaurants, enabling seamless ordering and delivery experiences across different cuisines and price segments.

• The quick commerce arm, known for delivering groceries and daily essentials within minutes, reflects the company’s focus on speed, reliability, and operational excellence.

• Swiggy continues to expand its service portfolio by introducing new offerings such as dining out solutions and pickup and drop services, aiming to become a one stop convenience platform.

• The platform is powered by advanced data systems, artificial intelligence, and machine learning, which play a central role in optimizing logistics, personalizing user experiences, and improving business outcomes.

• With a strong emphasis on innovation, the company constantly experiments with new ideas and integrates emerging technologies into its ecosystem.

• Swiggy also offers a membership program that enhances customer experience by providing benefits across its various services.

• The organization promotes a culture of collaboration, curiosity, and continuous learning, where teams are encouraged to explore ideas and contribute to impactful solutions.

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Profile overview:

• The role of Data Scientist I is designed for individuals who are passionate about solving real world problems using data, machine learning, and statistical techniques.

• The position involves working closely with cross functional teams such as product managers, engineers, and analysts to design and deploy scalable data driven solutions.

• Data scientists in this role are expected to take ownership of projects from the early problem definition stage to final deployment and monitoring.

• The role requires translating business challenges into mathematical or machine learning problems and developing models that deliver measurable impact.

• Candidates will work on large scale datasets and build intelligent systems that improve customer experience, optimize operations, and enhance revenue generating processes.

• The position offers exposure to advanced domains such as recommendation systems, ad optimization, and predictive analytics.

• Professionals in this role are encouraged to continuously upgrade their knowledge by following the latest developments in machine learning and artificial intelligence.

• The job also involves presenting insights and solutions to both technical and non technical audiences, ensuring clarity in communication.

• The role is ideal for early career professionals who want to work on high impact projects in a fast paced environment driven by data and experimentation.

• It provides an opportunity to build strong technical expertise while contributing to meaningful business outcomes.

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Qualifications:

• Candidates should hold a Bachelor’s or Master’s degree in a quantitative discipline such as computer science, statistics, mathematics, engineering, or a related field.

• Strong analytical thinking and problem solving skills are essential, with the ability to break down complex problems into manageable components.

• Hands on experience with machine learning, deep learning, and statistical modeling techniques is required.

• Proficiency in programming languages such as Python and strong command over SQL for data manipulation and querying is expected.

• Familiarity with big data technologies and distributed computing frameworks like Spark is considered valuable.

• Experience working with machine learning frameworks such as TensorFlow or similar tools is important for model development and deployment.

• Good communication skills are necessary to collaborate effectively with cross functional teams and present findings clearly.

• Exposure to domains such as ecommerce, logistics, or digital platforms can provide an added advantage.

• Knowledge of emerging areas such as generative AI, large language models, and natural language processing is a plus.

• Candidates should demonstrate a track record of applying data science techniques to solve real world problems or building deployable models.

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Additional info:

• The role offers the opportunity to work on large scale and impactful projects that directly influence customer experience and business performance.

• Data scientists are encouraged to contribute ideas, experiment with new approaches, and participate in knowledge sharing within the organization.

• The work environment promotes collaboration across teams, enabling professionals to gain exposure to different aspects of product development and analytics.

• Employees may also get opportunities to present their work in internal forums or external platforms, enhancing their professional visibility.

• The organization values continuous learning and supports individuals in staying updated with advancements in machine learning and artificial intelligence.

• The role involves working on challenging problem statements related to logistics, recommendation systems, and optimization.

• Candidates will gain experience in building end to end data products, from data extraction and modeling to deployment and monitoring.

• The company follows inclusive hiring practices and provides equal opportunities to all applicants regardless of background.

• This position is suitable for individuals who are eager to grow in a dynamic environment and contribute to innovative solutions.

• The role provides a strong foundation for long term career growth in data science and applied machine learning.

Please click here to apply.