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LiquiLoans logo — LiquiLoans Data Science Intern in Sri Ganganagar, Rajasthan
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Data Science Intern

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Location

Sri Ganganagar, Rajasthan

Work Mode

In Office

Duration

3 months

Stipend

₹21,000/mo

Start Date

Immediate / Rolling

Openings

8 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹21,000/moApply on Company Website ↗

About the Internship

Start your career in data science with LiquiLoans as a Data Science Intern in Sri Ganganagar. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a Data Science Intern at LiquiLoans, your core focus will be…

About LiquiLoans

LiquiLoans offers a mentor-led Data Science Intern in Sri Ganganagar with live project work in data analyst, a stipend of ₹21,000/month and a Pre-Placement Offer opportunity for strong performers.
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Sri Ganganagar, RajasthanVerified employer8 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 Sri Ganganagar. 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

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityBroad ownership and direct exposure to founders and senior decision-makers

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Practical assignment or case study with a short walkthrough
21,000/month

Stipend · 3 months

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Openings8 positions
Applicants0 applied
ModeIn Office
CategoryData Analyst
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