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

Position:

• Data Scientist I

Company:

• Swiggy

Location:

• Bangalore, Karnataka, India

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• 25536

Years of experience:

• 0 to 3 years

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Company description:

• Swiggy is one of India’s leading technology-driven platforms focused on providing seamless convenience to urban consumers across multiple services.
• Established in 2014, the company has grown into a widely recognized name in the food delivery and quick commerce ecosystem, serving millions of users every month across hundreds of cities.
• The platform connects customers with a vast network of restaurants, enabling fast and reliable food delivery experiences while continuously enhancing user satisfaction through innovation and data-driven insights.
• Over time, Swiggy has expanded its offerings beyond food delivery, introducing services such as instant grocery delivery through its quick commerce arm, along with dining, pickup and drop, and lifestyle-oriented services.
• The organization places a strong focus on leveraging advanced technologies including data science, artificial intelligence, and machine learning to optimize operations, enhance logistics efficiency, and personalize customer experiences.
• Swiggy operates at a large scale, handling massive volumes of transactions and data, which creates opportunities for solving complex real-world problems using analytical and computational methods.
• With a strong engineering and product culture, the company encourages experimentation, innovation, and continuous improvement in its systems and offerings.
• Employees are given opportunities to work on impactful challenges that directly influence business outcomes as well as customer experience.
• Swiggy promotes collaboration across teams, ensuring that ideas and solutions are shared and implemented effectively across functions.
• The company also fosters an inclusive workplace where diversity is valued and individuals are encouraged to contribute their unique perspectives.

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Profile overview:

• This role is designed for early career professionals who are passionate about applying data science techniques to real-world business challenges.
• The Data Scientist I position focuses on building scalable and impactful machine learning solutions that contribute directly to business growth and customer satisfaction.
• Candidates in this role will work closely with cross-functional teams such as engineering, product management, and analytics to translate business problems into data-driven solutions.
• The position involves working across the entire lifecycle of a data science project, starting from understanding the problem statement to developing models and deploying them into production systems.
• Individuals will be expected to use their knowledge of machine learning, deep learning, and statistics to design innovative solutions that improve recommendation systems, campaign performance, and overall user experience.
• The role requires strong analytical thinking, as candidates will need to extract insights from large datasets and identify patterns that can be used to optimize decision-making.
• A key aspect of the job is ownership, where individuals are responsible for delivering high-quality outcomes and ensuring that their solutions have measurable impact.
• The role also emphasizes continuous learning, encouraging professionals to stay updated with the latest advancements in machine learning research and apply them in practical scenarios.
• Communication plays an important part, as data scientists are expected to present their findings and solutions to both technical and non-technical stakeholders.
• This position offers exposure to large-scale systems and real-world challenges, making it a strong starting point for a career in data science within a high-growth technology environment.

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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, or a related field.
• Applicants with early stage experience in industry or research environments are considered suitable for this role.
• A strong foundation in problem solving is essential, with the ability to break down complex challenges and approach them using structured methods.
• Hands-on experience with machine learning and deep learning techniques is required, along with the ability to apply these methods to solve business problems.
• Candidates should have a solid understanding of statistical concepts and their practical applications in data analysis and modeling.
• Proficiency in programming languages such as Python and SQL is necessary, as these are widely used in data processing and model development.
• Familiarity with tools and frameworks like Spark and TensorFlow is expected, especially for handling large datasets and building scalable solutions.
• Experience working with large-scale data systems or deploying models in production environments is considered advantageous.
• Strong communication skills are required, enabling candidates to explain complex technical concepts in a clear and concise manner.
• Exposure to domains such as ecommerce or logistics can be beneficial, as it provides context for the types of problems being solved.
• Knowledge of emerging areas like generative AI, large language models, and natural language processing is a plus.
• Demonstrated ability to build and deliver machine learning solutions that create measurable value is highly valued.

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Additional info:

• The role provides an opportunity to work on high-impact projects that influence both business performance and customer satisfaction.
• Candidates will engage in building and improving recommendation systems, especially in areas related to advertising and campaign optimization.
• The position involves working with large datasets, extracting meaningful insights, and using them to drive strategic decisions.
• Collaboration is a key aspect, as individuals will work alongside engineers, analysts, and product managers to develop integrated solutions.
• There is a strong focus on innovation, encouraging employees to experiment with new techniques and approaches to problem solving.
• The company supports knowledge sharing, allowing employees to present their work in internal discussions as well as external forums.
• Professionals will have the chance to stay updated with advancements in machine learning and apply cutting-edge research to real-world problems.
• The role includes responsibilities such as designing models, testing them, and ensuring they perform effectively in production environments.
• Candidates are expected to take full ownership of their projects, from initial concept to final deployment and monitoring.
• The organization promotes a culture of continuous improvement, where feedback is encouraged and used to refine solutions.
• Employees benefit from exposure to large-scale systems and complex operational challenges, helping them build strong technical and analytical skills.
• Swiggy follows equal opportunity employment practices, ensuring fair consideration for all applicants regardless of background.

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What will you get to do here?

• Develop machine learning and deep learning models to improve recommendation systems and campaign performance
• Apply statistical and optimization techniques to enhance advertising outcomes and user engagement
• Analyze large volumes of historical data to identify patterns and generate actionable insights
• Work on end-to-end data science projects, from problem definition to deployment
• Collaborate with cross-functional teams to design and implement scalable solutions
• Stay updated with advancements in machine learning and apply them to business problems
• Present findings and solutions to both technical and non-technical audiences
• Contribute to building data-driven systems that improve customer experience
• Take ownership of projects and ensure timely and high-quality delivery
• Work on challenging problems within the logistics and ecommerce domains

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What qualities are we looking for?

• Strong analytical and problem-solving abilities
• Hands-on experience in machine learning, deep learning, and statistics
• Proficiency in Python, SQL, Spark, and TensorFlow
• Ability to work with large datasets and build scalable solutions
• Strong communication and collaboration skills
• Interest in applying research concepts to real-world applications
• Experience or interest in ecommerce, logistics, or related domains
• Familiarity with emerging technologies such as generative AI and large language models
• Ability to take ownership and deliver impactful results
• Continuous learning mindset and adaptability to new challenges

Please click here to apply.