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CoinDCX logo — CoinDCX Scikit-learn Modelling Intern in Jaipur, Rajasthan
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Scikit-learn Modelling Intern

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Location

Jaipur, Rajasthan

Work Mode

Hybrid

Duration

4 months

Stipend

₹16,000/mo

Start Date

Immediate / Rolling

Openings

6 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹16,000/moApply on Company Website ↗

About the Internship

CoinDCX is hiring a Scikit-learn Modelling Intern in Jaipur — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to classical machine learning rather than a certificate-only programme. About the role As a Scikit-learn Modelling Intern at CoinDCX, your…

About CoinDCX

CoinDCX offers a mentor-led Scikit-learn Modelling Intern in Jaipur with live project work in machine learning, a stipend of ₹16,000/month and a Pre-Placement Offer opportunity for strong performers.
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Jaipur, RajasthanVerified employer6 openings
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Skills Required

Scikit-learnPythonPandasRegression & ClassificationCross-ValidationHyperparameter TuningFeature SelectionModel MetricsStatisticsMatplotlib

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (any branch), BCA/MCA or B.Sc/M.Sc (Statistics / Mathematics / Computer Science) who are based in or willing to work from Jaipur. You should be keen to learn Scikit-learn, Python, Pandas 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 workflowsDirect access to the team that owns the data you work on

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3HR discussion — stipend, start date, expectations and offer
16,000/month

Stipend · 4 months

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Openings6 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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