Swiggy is hiring for a fresher entry level Data Scientist 1 role in India

Position:

• Data Scientist I

• Entry level analytical role focused on building data powered solutions

• Involves work across the full project cycle from idea to deployment

• Requires curiosity, structured thinking, and strong command of computational methods

• Involves supporting product and engineering groups with measurable outcomes

Company:

• Swiggy

• Technology first consumer platform with a strong focus on research driven work

• Known for large scale delivery systems and complex operational challenges

• Encourages experimenting, publishing, and internal knowledge exchange

• Fosters a culture where data teams influence strategy through factual insights

Location:

• Bangalore

• Karnataka

• Set within a major technology ecosystem with access to a wide pool of experts

• Work environment shaped by fast moving product cycles and collaboration

• City culture supports constant learning and exploration in engineering fields

Job type:

• Full time role

• Demands consistency and accountability throughout the year

• Team driven problem solving with regular communication across departments

• Requires comfort with evolving priorities and dynamic targets

• Continuous focus on strengthening product quality and flow of decisions

Job mode:

• Onsite or hybrid based on company guidelines

• Encourages day to day interaction with team members

• Helps in faster exchange of ideas and quicker project iterations

• Offers a supportive environment with access to internal tools and systems

Job requisition id:

• 22970

• Refers to the internal identifier for tracking this position

Years of experience:

• Zero to three years (0-3 years)

• Suitable for a fresh graduate or someone in the early phase of their data career

• Encourages applicants who are still building confidence but show strong foundational skills

• Accepts candidates who are self taught or academically trained

• Focuses more on ability than long work history

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Company description

• Swiggy started in 2014 with a clear intention to simplify life for urban users through a single platform

• It gradually expanded from food delivery to a larger multi service ecosystem that includes groceries, daily items, restaurant offers, and convenient pickups

• The organisation now collaborates with thousands of restaurants and works across many cities

• Its platforms operate with tight timelines, heavy traffic, and continuous decision making

• The company invests deeply in technology and aims to improve the experience of its users by understanding behavioural patterns, operational signals, and contextual needs

• Swiggy Instamart, one of its major offerings, focuses on quick delivery and shows how the company uses modern tools to manage inventory, routing, and customer expectations

• The organisation constantly pilots new ideas and encourages innovation within its internal teams through research, experimentation, and sharing insights

• Swiggy One membership program unifies benefits across multiple services, which requires coordination across data teams, engineering, logistics, and product groups

• The company believes in collaborative growth, encourages inclusive work environments, and welcomes people from all backgrounds

• It continues to evolve as a major player in the consumer convenience space while building systems that balance scale, speed, and accuracy

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Profile overview

• This role deals with building intelligent systems that support recommendations, campaign decisions, and customer experience improvements

• The position places the candidate within the data science team that works closely with advertising groups, product managers, and backend engineering teams

• The role expects the person to examine large historical datasets, identify actionable patterns, and support strategic choices that guide product changes

• The day to day work includes designing experiments, creating prediction models, testing multiple approaches, and refining solutions until they meet expected goals

• Candidates will shape algorithms that influence how customers see suggestions, how advertisers reach audiences, and how campaigns perform across segments

• Work involves understanding product needs, turning them into mathematical problems, evaluating several techniques, and ensuring the final method can run at scale

• Swiggy encourages team members to share their findings internally and externally which often results in internal talks, papers, or informal sessions

• This role offers exposure to operational logistics, advertising technology, customer intelligence, and data based product innovation

• It also pushes candidates to interact with many units which creates opportunities to learn about engineering constraints, product priorities, and business realities

• The overall expectation is that the person will steadily grow into someone who can handle complex projects from start to finish with clarity and confidence

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Qualifications

• Bachelor or Master degree in a quantitative area such as mathematics, computer science, statistics, data science, electronics, economics, or related programs

• Zero to three years of experience in industry or research based settings where problem solving was a prominent part of the work

• Ability to simplify complex concerns, structure them logically, and turn them into clean problem statements that guide the entire project approach

• Detailed understanding of machine learning concepts and comfort applying deep learning methods where required

• Practical experience with creating models that solve classification, regression, ranking, and pattern detection tasks

• Strong command of Python, SQL, and tools such as Spark that handle distributed datasets

• Familiarity with frameworks like Tensorflow and other libraries commonly used in modelling

• Experience deploying models is appreciated but not mandatory for entry level applicants

• Clear communication habits both written and spoken

• Interest in ecommerce or logistics domains is seen as an added advantage

• Experience with text models, generative systems, large language models, or agent style workflows is beneficial

• Enthusiasm for hands on work with real systems and readiness to learn quickly

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Additional info

• This role is ideal for those who enjoy experimenting with different techniques and refining them based on feedback from real usage

• Candidates will have the chance to work on advertising related optimisation which includes bidding strategies, ranking logic, and balancing competing requirements

• Exposure to real world scale allows new data professionals to understand how theoretical ideas behave in operational settings where latency, reliability, and interpretability matter

• The team works with a culture of discussion, shared learning, and friendly collaboration with engineering and product groups

• Work often requires switching between high level understanding and detailed technical analysis

• Projects involve continual updates since product needs shift as user behaviour and market conditions change

• The organisation encourages reading new research, attending internal talks, and staying updated with fresh methods

• The company follows equal opportunity principles and welcomes everyone who meets the required standards

• The broader environment rewards curiosity, discipline, and active contribution to team goals

• Applicants who join this team will gradually gain the confidence to guide data driven decisions and support major product directions

Please click here to apply.