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Bain & Company logo — Bain & Company Data Science Intern in Darjeeling, West Bengal
Bain & Company VerifiedActively Hiring

Data Science Intern

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Location

Darjeeling, West Bengal

Work Mode

Hybrid

Duration

2 months

Stipend

₹19,000/mo

Start Date

Immediate / Rolling

Openings

10 positions

Type

Full-time

Category

Data Analyst

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

About the Internship

Join Bain & Company in Darjeeling 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 science work. About the role As a Data Science Intern at Bain & Company, your core focus will…

About Bain & Company

Bain & Company offers a mentor-led Data Science Intern in Darjeeling with live project work in data analyst, a stipend of ₹19,000/month and a Pre-Placement Offer opportunity for strong performers.
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Darjeeling, West BengalVerified employer10 openings
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Skills Required

PythonSQLPandas & NumPyStatisticsScikit-learnHypothesis TestingData VisualisationFeature EngineeringJupyterStorytelling with Data

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (any branch), BCA/MCA, B.Sc (Statistics/Mathematics), B.Com/BBA or MBA who are based in or willing to work from Darjeeling. You should be keen to learn Python, SQL, Pandas & NumPy 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 hoursStructured onboarding and a formal mentor at a large, established employer

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
19,000/month

Stipend · 2 months

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Openings10 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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