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Meesho logo — Meesho Financial Data Science Intern in Gandhinagar, Gujarat
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Financial Data Science Intern

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Location

Gandhinagar, Gujarat

Work Mode

Hybrid

Duration

6 months

Stipend

₹21,000/mo

Start Date

Immediate / Rolling

Openings

6 positions

Type

Full-time

Category

Data Science

Apply Now — ₹21,000/moApply on Company Website ↗

About the Internship

Meesho is hiring a Financial Data Science Intern in Gandhinagar — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to data science in financial services rather than a certificate-only programme. About the role As a Financial Data Science Intern at…

About Meesho

Meesho offers a mentor-led Financial Data Science Intern in Gandhinagar with live project work in data science, a stipend of ₹21,000/month and a Pre-Placement Offer opportunity for strong performers.
Gandhinagar, GujaratVerified employer6 openings
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Skills Required

PythonStatistical ModellingTime-Series AnalysisSQLRisk & Credit MetricsFinancial Data SourcesModel ValidationBacktestingModel ExplainabilityRegulatory Awareness

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech, M.Sc (Statistics / Mathematics / Financial Engineering), MBA (Finance) or CA/CFA-track who are based in or willing to work from Gandhinagar. You should be keen to learn Python, Statistical Modelling, Time-Series Analysis 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

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3HR discussion — stipend, start date, expectations and offer
21,000/month

Stipend · 6 months

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Openings6 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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