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

Position:

• Data Scientist

Company:

• Swiggy

Location:

• India

Job type:

• Full Time

Job mode:

• Onsite

Job requisition id:

• Not specified

Years of experience:

• 0 to 3 years

Company description

• Swiggy is one of India’s most recognized technology driven consumer platforms that focuses on making everyday life easier for people in urban areas by providing fast and reliable access to food, groceries, and several other services.

• The company was established in 2014 with a vision to transform how people order food and access daily necessities using digital platforms and efficient delivery networks.

• Over the years, Swiggy has grown into a large scale organization with operations across hundreds of cities in India, connecting millions of customers with restaurants, delivery partners, and service providers through its mobile and web platforms.

• Swiggy’s food delivery service allows users to browse restaurants, explore cuisines, read reviews, and place orders from thousands of eateries within minutes.

• In addition to food delivery, the company has expanded its services to address other everyday needs such as grocery shopping and instant delivery of essential items.

• Swiggy Instamart enables customers to receive groceries and household products quickly by leveraging local warehouses and a strong logistics infrastructure.

• The platform is designed to support quick order fulfillment and reliable last mile delivery, ensuring that customers receive their items within a short time frame.

• Swiggy also introduced other offerings such as Dineout services, which help users discover restaurants and reserve tables while benefiting from dining deals.

• Another offering, Swiggy Genie, allows users to send packages, documents, or small parcels across the city using delivery partners.

• These services together make Swiggy a multi service convenience platform that focuses on solving multiple consumer needs through a single application.

• The company operates through a strong combination of technology innovation, data driven decision making, and operational excellence.

• Swiggy continuously invests in improving its algorithms, delivery logistics, and product features to ensure smooth experiences for customers, restaurants, and delivery partners.

• With millions of orders processed every month, the company handles large volumes of data that help improve recommendations, optimize delivery routes, and enhance operational efficiency.

• The organization believes in fostering a work environment where employees are encouraged to experiment, learn, and contribute new ideas.

• Teams work closely across product, engineering, operations, and analytics functions to build solutions that improve customer experience.

• Swiggy also emphasizes building a culture that encourages curiosity, ownership, and collaboration.

• Employees are encouraged to explore new perspectives, challenge assumptions, and create solutions that can scale across millions of users.

• The company places strong importance on hiring individuals who are eager to learn, passionate about solving real world problems, and comfortable working in fast moving environments.

• With thousands of employees working across engineering, analytics, operations, marketing, and product teams, Swiggy continues to expand its capabilities in order to serve the evolving needs of modern consumers.

• As digital commerce continues to grow in India, Swiggy aims to remain a leader in convenience driven services by building innovative solutions powered by technology and data.

Profile overview

• The Data Scientist role at Swiggy provides an opportunity for early career professionals to work on large scale data problems within a fast growing consumer technology platform.

• Individuals in this position work closely with product managers, engineers, analysts, and business stakeholders to develop insights that improve decision making across the company.

• The role focuses on transforming raw data into meaningful insights that can guide product development, operational improvements, and customer experience enhancements.

• Data Scientists are expected to explore complex datasets generated from millions of transactions and interactions on the Swiggy platform.

• These datasets include user behavior data, delivery logistics data, restaurant partner information, transaction records, and several operational metrics.

• The objective is to analyze this information and identify patterns that help optimize product features, improve service efficiency, and drive better outcomes for customers and partners.

• Professionals working in this role may contribute to building predictive models that forecast demand, estimate delivery times, or identify user preferences.

• Machine learning techniques may be used to improve recommendation systems that suggest restaurants or products based on user activity and preferences.

• Another key focus area involves building analytical frameworks that help measure the success of new features and experiments.

• Data Scientists often collaborate with product teams to design experiments, evaluate results, and interpret findings in order to guide product strategy.

• The role also involves working with engineering teams to deploy models and analytical pipelines that can operate at scale within production systems.

• This requires an understanding of how models integrate with real world applications and how they impact product performance.

• Candidates may also support operational teams by analyzing logistics data and identifying opportunities to improve delivery efficiency.

• Insights derived from analysis can help optimize delivery routes, reduce wait times, and improve service reliability.

• The position requires curiosity and a strong interest in solving real business problems using data driven approaches.

• Individuals are encouraged to ask questions, test ideas, and explore multiple methods for solving analytical challenges.

• Swiggy values team members who are comfortable working in collaborative environments where cross functional communication is essential.

• Data Scientists may present their findings to stakeholders across product, engineering, and leadership teams.

• Clear communication of insights is important so that analytical results can be translated into practical actions.

• The role offers exposure to large scale real world data problems and provides opportunities to work with modern tools and technologies used in analytics and machine learning.

• This position is suitable for fresh graduates or early career professionals who are interested in applying statistical thinking and programming skills to solve problems in a high impact consumer platform.

Qualifications

• Candidates applying for the Data Scientist position are expected to have a strong academic background in quantitative fields such as computer science, statistics, mathematics, engineering, data science, or related disciplines.

• A solid understanding of statistical concepts and probability is important for analyzing datasets and building predictive models.

• Applicants should be comfortable working with structured and unstructured data, performing data cleaning, transformation, and exploratory analysis.

• Proficiency in programming languages commonly used for data analysis is expected.

• Programming knowledge in languages such as Python or R is helpful for building analytical models and processing datasets efficiently.

• Familiarity with data querying languages such as SQL is useful for extracting and manipulating data stored in relational databases.

• Candidates should understand fundamental machine learning techniques such as regression, classification, clustering, and basic model evaluation methods.

• Knowledge of data visualization tools and techniques can help in presenting analytical insights in a clear and understandable way.

• Applicants may also benefit from understanding common data analysis libraries and frameworks used for machine learning and statistical analysis.

• Experience with libraries used for numerical computation, data manipulation, and machine learning can support faster experimentation and model development.

• Strong analytical thinking and problem solving abilities are essential in order to interpret data correctly and generate meaningful insights.

• Candidates should be able to approach problems in a structured way and identify appropriate analytical techniques to solve them.

• Communication skills are important because Data Scientists frequently collaborate with teams from different functional backgrounds.

• The ability to explain technical findings in simple terms helps business stakeholders understand how insights can influence decisions.

• Exposure to projects involving data analysis, predictive modeling, or machine learning during academic studies or internships can strengthen an application.

• Candidates who have worked on real datasets and demonstrated their analytical approach through projects are often well prepared for the responsibilities of the role.

• Curiosity and a strong interest in learning new analytical tools and methods are also important qualities.

• The field of data science continues to evolve quickly, and professionals must remain open to learning and adapting to new technologies.

• Candidates should also demonstrate attention to detail while working with datasets to ensure accuracy in analysis.

• Time management and organizational skills help in handling multiple tasks or projects effectively.

• Individuals who enjoy exploring data, identifying patterns, and developing data driven solutions are likely to thrive in this position.

Additional info

• Swiggy’s hiring process is designed to identify individuals who are enthusiastic about solving problems and contributing to a fast growing technology company.

• Candidates usually begin by submitting their application through the company’s career portal.

• Applications are reviewed by the recruitment team to determine whether the candidate’s profile aligns with the role requirements.

• Shortlisted applicants may be invited to participate in a written or technical assessment that evaluates their analytical and problem solving abilities.

• This stage may include questions related to statistics, programming, data analysis, or case based problem solving.

• Candidates who perform well in the technical assessment may move forward to interview rounds with team members or hiring managers.

• These interviews often focus on technical knowledge, analytical thinking, and the ability to apply concepts to real world scenarios.

• Interviewers may also explore a candidate’s previous academic projects or internship experiences to understand how they approach problem solving.

• A personal interview stage allows the hiring team to evaluate communication skills, teamwork ability, and alignment with the company’s values.

• Applicants may discuss their motivations for joining Swiggy and their interest in working within the technology driven consumer services industry.

• Following the interview rounds, a conversation with the human resources team may take place.

• During this stage, candidates can ask questions about the role, work environment, company culture, and career development opportunities.

• The HR team may also provide information related to compensation structure, benefits, and workplace policies.

• After all evaluation stages are completed, the company conducts an internal review before making the final hiring decision.

• Successful candidates receive an offer outlining the details of the position and the onboarding process.

• Employees at Swiggy often have opportunities to work with cross functional teams and participate in initiatives that impact millions of users.

• The organization encourages continuous learning and professional growth through challenging projects and collaboration with experienced professionals.

• Data Scientists joining the company gain exposure to large scale operational data and advanced analytical challenges.

• The role provides opportunities to contribute to products and services that influence everyday consumer experiences.

• Individuals who are passionate about technology, analytics, and solving practical problems can build rewarding careers within the company.

• Swiggy continues to expand its services and technological capabilities, creating opportunities for professionals who want to work in high impact roles within the digital commerce ecosystem.

Please click here to apply.