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ReNew logo — ReNew Data Science Intern (Freshers) in Vadodara, Gujarat
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Data Science Intern (Freshers)

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Location

Vadodara, Gujarat

Work Mode

In Office

Duration

3 months

Stipend

₹15,000/mo

Start Date

Immediate / Rolling

Openings

6 positions

Type

Full-time

Category

Data Science

Apply Now — ₹15,000/moApply on Company Website ↗

About the Internship

ReNew is hiring a Data Science Intern (Freshers) in Vadodara — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to applied data science rather than a certificate-only programme. About the role As a Data Science Intern (Freshers) at ReNew, your core…

About ReNew

ReNew offers a mentor-led Data Science Intern (Freshers) in Vadodara with live project work in data science, a stipend of ₹15,000/month and a Pre-Placement Offer opportunity for strong performers.
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Vadodara, GujaratVerified employer6 openings
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Skills Required

PythonPandas & NumPyScikit-learnSQLStatistics & ProbabilityExploratory Data AnalysisMachine Learning BasicsData VisualisationJupyterModel Evaluation

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech, B.Sc/M.Sc (Statistics / Mathematics / Data Science / Computer Science), BCA/MCA or MBA (Analytics) who are based in or willing to work from Vadodara. You should be keen to learn Python, Pandas & NumPy, Scikit-learn 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
15,000/month

Stipend · 3 months

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Openings6 positions
Applicants0 applied
ModeIn Office
CategoryData Science
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