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

Position:

• Data Scientist I

• Entry level individual contributor role focused on applied data science and machine learning

• Designed for freshers and early career professionals starting their journey in industrial data science

• Role emphasizes problem solving using data, statistics, machine learning, and deep learning

• Opportunity to work on real world business problems with visible customer and revenue impact

• Position involves close collaboration with product, engineering, analytics, and business teams

• Ownership driven role where the individual contributes from problem framing to deployment

• Exposure to large scale data systems and production grade ML workflows

• Strong focus on experimentation, modeling, and inference systems

• Ideal role for candidates looking to build a strong foundation in applied ML within a fast growing consumer tech company

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Company:

• Swiggy

• India based consumer technology and on demand convenience platform

• Known for large scale operations across food delivery, quick commerce, and logistics

• Technology driven organization with strong data culture

• Millions of active users across hundreds of cities

• Data science plays a central role in decision making and product innovation

• Company encourages experimentation, learning, and internal knowledge sharing

• Engineers and data scientists work on problems with direct customer and business outcomes

• Strong emphasis on innovation, ownership, and measurable impact

• Recognized brand in Indian consumer internet ecosystem

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Location:

• Bangalore

• Karnataka

• Primary technology and data science hub for the company

• Role based out of corporate technology offices

• Exposure to cross functional teams located in the same region

• City offers strong data science and startup ecosystem

• Opportunities for collaboration with experienced professionals

• Access to internal tech events, learning sessions, and knowledge sharing forums

• Location supports hybrid collaboration across teams

• Central base for many product and platform teams

• Work environment designed to support innovation and experimentation

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Job type:

• Full time

• Permanent role

• Long term career opportunity within the organization

• Structured role with scope for growth and internal mobility

• Designed for sustained contribution rather than short term engagement

• Performance driven role with learning and development opportunities

• Access to company benefits as per full time employment

• Opportunity to work on core business systems

• Stability combined with fast paced work environment

• Suitable for candidates seeking long term career in data science

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Job mode:

• Onsite

• Based primarily from Bangalore office

• Close collaboration with engineers and product teams

• Regular interaction with stakeholders and leadership

• Access to internal systems and data platforms

• In person discussions for design, reviews, and brainstorming

• Participation in office based learning sessions

• Opportunity to build strong professional network

• Direct exposure to company culture and work practices

• Enables faster feedback and iteration cycles

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Job requisition id:

• 23413

• Internal reference for hiring and tracking

• Used for application and recruitment processes

• Helps align role with internal team requirements

• Identifies this role uniquely within company systems

• Relevant for communication with hiring and recruitment teams

• Used across internal approvals and documentation

• Important for applicants to mention during application

• Ensures correct role mapping

• Helps streamline hiring workflow

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Years of experience:

• 0 to 3 years

• Suitable for freshers and early career professionals

• Open to candidates with academic or industry exposure

• Allows entry into professional data science roles

• No requirement for long prior work history

• Focus on skills and problem solving rather than tenure

• Ideal for recent graduates and young professionals

• Encourages learning and growth on the job

• Supports transition from academic projects to industry scale work

• Emphasizes potential and capability over years spent

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Company description

• Swiggy is one of India’s leading on demand convenience platforms serving millions of consumers every month

• Founded with the mission of improving urban life through technology driven convenience

• Operates across food delivery, grocery delivery, and logistics services

• Collaborates with a vast network of restaurant partners across hundreds of cities

• Instamart enables ultra fast delivery of daily essentials across multiple categories

• Company continuously expands its service offerings within a single integrated app

• Focuses strongly on customer experience, reliability, and speed

• Uses advanced technology to optimize logistics, recommendations, and operations

• Membership programs enhance customer value across services

• Data and machine learning power decision making across all verticals

• Culture encourages innovation, experimentation, and ownership

• Technology teams work at scale with real world constraints

• Organization values diversity, fairness, and equal opportunity

• Swiggy provides a platform for technologists to solve meaningful problems

• Continuous learning and improvement are deeply embedded values

• Teams are encouraged to share learnings internally and externally

• Strong employer brand within Indian technology ecosystem

• Combines startup agility with large scale impact

• Enables employees to work on problems that affect daily life of millions

• Recognized for its data driven approach to growth and efficiency

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Profile overview:

• Role focuses on applied data science and machine learning within core business systems

• Data scientists work closely with multiple teams including product, engineering, and analytics

• Responsibility begins from understanding business problems and translating them into analytical or ML formulations

• Role involves designing models, running experiments, and interpreting results

• Candidates contribute to end to end lifecycle of data products

• Includes feature engineering, model selection, training, validation, and deployment

• Exposure to real time and batch inference systems

• Work impacts customer experience as well as revenue and operational metrics

• Opportunity to improve advertising recommendations and campaign effectiveness

• Role encourages ownership of projects from start to finish

• Strong focus on experimentation and iteration

• Data scientists are expected to communicate insights clearly

• Interaction with both technical and non technical stakeholders

• Encouragement to document and present work internally

• Opportunity to publish learnings in internal and external forums

• Role blends research mindset with practical delivery

• Exposure to large scale historical data

• Opportunity to apply optimization techniques to business problems

• Work environment supports learning of new ML methods

• Suitable for candidates who enjoy solving open ended problems

• Balance of analytical rigor and practical constraints

• Role offers visibility into how data drives large consumer platforms

• Ideal for those aiming to grow into senior data science roles

• Provides strong foundation in production grade ML systems

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Qualifications:

• Bachelor’s or Master’s degree in a quantitative discipline

• Educational background may include engineering, computer science, statistics, mathematics, or related fields

• Candidates with strong academic training in analytical subjects preferred

• Exposure to machine learning and statistics concepts required

• Practical experience through projects, internships, or research valued

• Strong problem solving ability expected

• Ability to break down complex business problems into solvable components

• Hands on experience with Python for data analysis and modeling

• Working knowledge of SQL for data extraction and manipulation

• Familiarity with big data tools such as Spark is beneficial

• Experience with machine learning libraries and frameworks

• Exposure to TensorFlow or similar deep learning frameworks

• Understanding of supervised and unsupervised learning techniques

• Knowledge of model evaluation and validation methods

• Ability to work with large datasets

• Clear written and verbal communication skills required

• Ability to explain technical concepts to non technical audiences

• Experience or interest in ecommerce or logistics is beneficial

• Familiarity with recommendation systems or advertising models is a plus

• Exposure to generative AI concepts is valued

• Awareness of LLMs, NLP, or agent based systems adds advantage

• Proven ability to learn and adapt quickly

• Curiosity about latest developments in machine learning research

• Willingness to apply research ideas to practical problems

• Commitment to building reliable and scalable solutions

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Additional info:

• Role provides opportunity to work on advertising and recommendation systems

• Focus on improving relevance and efficiency of ad campaigns

• Application of optimization techniques to improve performance metrics

• Opportunity to work with massive historical datasets

• Projects have direct business and customer impact

• Collaboration with cross functional teams is a core part of the role

• Engineers and product managers work closely with data scientists

• Exposure to logistics and supply chain related challenges

• End to end ownership from ideation to deployment expected

• Learning oriented environment with mentorship opportunities

• Encouragement to share knowledge through talks and blogs

• Internal platforms exist for publishing technical work

• Company supports fair and inclusive hiring practices

• Equal opportunity employer with strong ethical standards

• Selection based on skills and potential

• Diverse perspectives are welcomed and valued

• Role offers exposure to real world ML challenges at scale

• Opportunity to influence how millions interact with the platform

• Continuous feedback and performance driven growth

• Strong foundation for long term career in data science

• Suitable for candidates seeking impact driven work

• Fast paced environment with challenging problem statements

• Balance between research and delivery

• High expectations coupled with strong support systems

• Role aligns well with candidates interested in consumer technology

• Opportunity to learn from experienced practitioners

• Platform to build visible and meaningful data products

Please click here to apply.