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Reliance Retail logo — Reliance Retail Data Science Intern in Panaji, Goa
Reliance Retail VerifiedActively Hiring

Data Science Intern

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Location

Panaji, Goa

Work Mode

Hybrid

Duration

6 months

Stipend

₹23,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Data Science

Apply Now — ₹23,000/moApply on Company Website ↗

About the Internship

Join Reliance Retail in Panaji as a Data Science Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on data and analytics work. About the role As a Data Science Intern at Reliance Retail, your core focus…

About Reliance Retail

Reliance Retail offers a mentor-led Data Science Intern in Panaji with live project work in data science, a stipend of ₹23,000/month and a Pre-Placement Offer opportunity for strong performers.
Panaji, GoaVerified employer4 openings
Apply to Reliance Retail

Skills Required

PythonMachine LearningStatisticsPandasSQLData VisualisationFeature EngineeringModel EvaluationJupyterStorytelling with Data

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech/M.Sc (Statistics, Maths)/MCA/MBA (Analytics) who are based in or willing to work from Panaji. You should be keen to learn Python, Machine Learning, Statistics on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit
  3. 3Team-fit / behavioural interview with the team
  4. 4HR discussion — stipend, start date, expectations and offer
23,000/month

Stipend · 6 months

Apply Now →
Openings4 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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