Swiggy is Hiring for Freshers | Role Data Scientist

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Swiggy, India’s leading on-demand delivery platform, is seeking a talented Data Scientist to join our dynamic team in Bangalore. This role offers an exciting opportunity to work on challenging projects that directly influence customer experience and business strategies.

Company Overview

Founded in 2014 and headquartered in Bangalore, Swiggy has rapidly evolved into India’s premier online food ordering and delivery platform, operating in over 500 cities. Beyond food delivery, Swiggy has expanded its services to include quick commerce through Instamart and same-day package deliveries via Swiggy Genie. Our commitment to innovation and customer satisfaction has positioned us at the forefront of the industry.

Job Details

Position: Data Scientist
Experience: 0 to 3 years
Location: Bangalore, India
Employment Type: Full-time
Work Model: Remote, with quarterly in-person meetings at the base location

Roles and Responsibilities

Machine Learning Solutions: Develop and implement ML/DL models to enhance ad recommendations and optimize campaign performance.
Data Analysis: Extract and analyze data from Swiggy’s extensive datasets to identify solutions for business and customer experience challenges.
Cross-Functional Collaboration: Work closely with engineers, product managers, and analysts to design and deploy end-to-end data solutions.
Research and Development: Stay updated with the latest advancements in ML research, particularly in Ads Bidding algorithms and Recommendation Systems, and apply relevant findings to Swiggy’s projects.
Communication: Present findings and insights to both technical and non-technical audiences within and outside the organization.

Eligibility Criteria

Educational Qualification:

Bachelor’s or Master’s degree in a quantitative field.

Required Skills:

Problem-Solving: Strong analytical skills with the ability to approach problems from first principles.
Technical Proficiency: Hands-on experience with ML/DL techniques, statistical methods, and tools such as Python, SQL, Spark, and TensorFlow.
Communication: Excellent verbal and written communication skills.

Preferred Skills:

Big Data Experience: Familiarity with handling large-scale datasets and deploying ML/DL models in production environments.
Domain Knowledge: Experience in e-commerce and logistics sectors.
Generative AI: Knowledge of Generative AI, Agentic AI, Large Language Models (LLMs), and Natural Language Processing (NLP).

Salary Details

Swiggy offers a competitive salary package of up to 8 LPA, along with benefits such as health insurance, performance bonuses, and opportunities for professional development.

Application Process

Online Application: Visit the Swiggy Careers Portal and complete the application form with your updated resume and relevant details.
Assessment: Shortlisted candidates will be invited to participate in an online assessment to evaluate technical skills and problem-solving abilities.
Interview Process: Successful candidates from the assessment stage will proceed to technical interviews, followed by an HR discussion.

Selection Process

Initial Screening: Review of applications to shortlist candidates based on qualifications and experience.
Technical Assessment: Evaluation of technical skills through coding tests or case studies.
Technical Interviews: In-depth discussions to assess problem-solving abilities, technical expertise, and cultural fit.
HR Interview: Final discussion covering compensation, role expectations, and organizational culture.

Apply Now

Join Swiggy’s innovative team and contribute to shaping the future of on-demand delivery services. Apply today to embark on a rewarding career journey.

Here is the Apply Link: Click Here

Conclusion

The Data Scientist role at Swiggy offers a unique opportunity to work on impactful projects in a fast-paced environment. With a focus on innovation and customer satisfaction, Swiggy provides the ideal platform for data professionals to advance their careers.

Tips for Job Seekers

Highlight Relevant Experience: Emphasize your experience with ML/DL techniques, data analysis, and problem-solving skills in your resume.
Showcase Technical Skills: Demonstrate proficiency in programming languages and tools relevant to data science.
Prepare for Assessments: Practice coding challenges and case studies to excel in technical evaluations.
Research Swiggy: Understanding Swiggy’s services, culture, and recent projects can help you align your application with the company’s goals

Swiggy is Hiring for Freshers | Role Data Scientist – Apply Now