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Protean eGov Technologies logo — Protean eGov Technologies Data Science Intern in Vellore, Tamil Nadu
Protean eGov Technologies VerifiedActively Hiring

Data Science Intern

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Location

Vellore, Tamil Nadu

Work Mode

Hybrid

Duration

6 months

Stipend

₹19,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Data Science

Apply Now — ₹19,000/moApply on Company Website ↗

About the Internship

Join Protean eGov Technologies in Vellore 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 Protean eGov…

About Protean eGov Technologies

Protean eGov Technologies offers a mentor-led Data Science Intern in Vellore with live project work in data science, a stipend of ₹19,000/month and a Pre-Placement Offer opportunity for strong performers.
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Vellore, Tamil NaduVerified employer4 openings
Apply to Protean eGov Technologies

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 Vellore. 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

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
19,000/month

Stipend · 6 months

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Openings4 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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