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Keka HR logo — Keka HR Customer Analytics Data Science Intern in Mangaluru, Karnataka
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Customer Analytics Data Science Intern

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Location

Mangaluru, Karnataka

Work Mode

In Office

Duration

2 months

Stipend

₹15,000/mo

Start Date

Immediate / Rolling

Openings

12 positions

Type

Full-time

Category

Data Science

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About the Internship

Keka HR has an open Customer Analytics Data Science Intern position in Mangaluru for motivated freshers and final-year students. You will work on live customer analytics projects and finish with something you can genuinely talk about in interviews. About the role As a Customer Analytics Data…

About Keka HR

Keka HR offers a mentor-led Customer Analytics Data Science Intern in Mangaluru 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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Mangaluru, KarnatakaVerified employer12 openings
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Skills Required

PythonChurn & Retention ModellingCustomer Lifetime ValueSQLSegmentation (RFM)Survival AnalysisScikit-LearnCohort AnalysisData VisualisationBusiness Communication

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech, MBA, B.Sc/M.Sc (Statistics / Economics) or MCA who are based in or willing to work from Mangaluru. You should be keen to learn Python, Churn & Retention Modelling, Customer Lifetime Value 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

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experience

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
  3. 3Technical interview on fundamentals and your projects
  4. 4HR discussion — stipend, start date, expectations and offer
₹15,000/month

Stipend · 2 months

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Openings12 positions
Applicants0 applied
ModeIn Office
CategoryData Science
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