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

Position:

• Data Scientist I

Company:

• Swiggy

Location:

• Bangalore, Karnataka, India

Job type:

• Full-time

Job mode:

• Remote (with quarterly in-person meetups at base location)

Job requisition id:

• 21071

Years of experience:

• 0 to 3 years

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Company Description :

• Swiggy is one of India’s leading on-demand convenience platforms.

• Established in 2014 with the aim of providing superior convenience to urban consumers.

• It facilitates food delivery in partnership with more than 2 lakh restaurants across over 600 Indian cities.

• Swiggy’s quick commerce vertical, Instamart, delivers groceries and daily essentials in under 10 minutes, currently operating in 120+ cities.

• The company has diversified into additional services including Swiggy Dineout and Swiggy Genie to form a multi-functional convenience platform.

• Swiggy One, its membership program, integrates benefits across various services, improving user experience across food, groceries, dining, and logistics.

• Innovation and tech-led decision-making are embedded in Swiggy’s DNA.

• Swiggy operates at the intersection of technology, logistics, and consumer service, aiming to elevate the standard of urban life through convenience.

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Profile Overview :

• This is an entry-level opportunity for freshers or early-career professionals passionate about machine learning and applied data science.

• The role sits within the core Data Science team, contributing directly to product development, customer experience, and business outcomes.

• You will be part of a high-impact team that regularly collaborates with engineering, product, and analytics teams.

• The work goes beyond experimentation and includes full-cycle involvement from problem formulation to model deployment.

• Swiggy emphasizes real-world impact, so your work will directly contribute to campaign performance, ad recommendations, and decision systems.

• The environment fosters learning through research, idea-sharing, publishing internally and externally, and experimentation with the latest AI methods.

• Your contributions will support Swiggy’s core initiatives in logistics, personalization, and advertising systems.

• The company provides a remote-first work culture with periodic in-person collaborations to maintain team synergy.

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Qualifications:

• A bachelor’s or master’s degree in a quantitative or technical discipline (e.g., Computer Science, Statistics, Mathematics, Engineering, etc.)

• 0 to 3 years of experience in applied data science or machine learning roles in industry or research labs.

• Strong proficiency in Python programming, along with working knowledge of SQL.

• Experience or familiarity with ML libraries and frameworks such as TensorFlow, PyTorch, Spark.

• Solid problem-solving skills with the ability to break down complex problems into logical components and create innovative solutions.

• Deep understanding of machine learning and statistical modeling techniques such as regression, clustering, classification, and optimization.

• Exposure to deep learning, recommendation systems, bidding algorithms, or personalization engines is highly preferred.

• Hands-on experience with deploying models in production is a strong plus.

• Prior work in ecommerce, advertising, or logistics domains is considered an advantage.

• Familiarity or prior experience with LLMs, Generative AI, or Agentic AI will give you an edge.

• Strong verbal and written communication abilities to explain technical concepts to both experts and non-technical stakeholders.

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Additional Info:

• You will work on real-world ML problems such as ad recommendation optimization and campaign performance improvement.

• Your projects will involve designing and building machine learning solutions end-to-end, including data extraction, model building, and deployment.

• You'll have access to large-scale data generated by millions of customer transactions and platform interactions.

• The role emphasizes research and development, encouraging reading the latest literature and applying it to Swiggy's use cases.

• You will collaborate with engineers, analysts, and product managers to create robust and scalable solutions.

• High ownership is expected; you will be responsible for the quality, impact, and outcomes of your work.

• Opportunities to publish your work in internal blogs, forums, or external platforms are actively encouraged.

• The company encourages creativity, experimentation, and continuous learning through tech talks and workshops.

• Your role will require both innovation and execution, contributing directly to Swiggy's customer experience and business KPIs.

• You will contribute to a diverse team environment with a culture of openness, respect, and equal opportunity for all.

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Please click here to apply.