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Indifi Technologies logo — Indifi Technologies Analytics & Data Science Intern in Haldia, West Bengal
Indifi Technologies VerifiedActively Hiring

Analytics & Data Science Intern

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Location

Haldia, West Bengal

Work Mode

Hybrid

Duration

4 months

Stipend

₹11,000/mo

Start Date

Immediate / Rolling

Openings

12 positions

Type

Full-time

Category

Data Science

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About the Internship

Join Indifi Technologies in Haldia as an Analytics & 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 applied data science work. About the role As an Analytics & Data Science Intern at…

About Indifi Technologies

Indifi Technologies offers a mentor-led Analytics & Data Science Intern in Haldia with live project work in data science, a stipend of ₹11,000/month and a Pre-Placement Offer opportunity for strong performers.
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Haldia, West BengalVerified employer12 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 Haldia. 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

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. 2Online aptitude / domain assessment
  3. 3HR discussion — stipend, start date, expectations and offer
11,000/month

Stipend · 4 months

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Openings12 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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