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GoKwik logo — GoKwik Junior Data Scientist Intern in Thane, Maharashtra
GoKwik VerifiedActively Hiring

Junior Data Scientist Intern

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Location

Thane, Maharashtra

Work Mode

Hybrid

Duration

6 months

Stipend

₹23,000/mo

Start Date

Immediate / Rolling

Openings

13 positions

Type

Full-time

Category

Data Science

Apply Now — ₹23,000/moApply on Company Website ↗

About the Internship

GoKwik is hiring a Junior Data Scientist Intern in Thane — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to entry-level data science rather than a certificate-only programme. About the role As a Junior Data Scientist Intern at GoKwik, your core focus…

About GoKwik

GoKwik offers a mentor-led Junior Data Scientist Intern in Thane with live project work in data science, a stipend of ₹23,000/month and a Pre-Placement Offer opportunity for strong performers.
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Thane, MaharashtraVerified employer13 openings
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Skills Required

PythonSQLPandasDescriptive & Inferential StatisticsData CleaningMatplotlib & SeabornScikit-Learn BasicsJupyter NotebooksExcelAnalytical Thinking

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech, B.Sc/M.Sc (Statistics / Mathematics), BCA/MCA or B.Com with analytics coursework who are based in or willing to work from Thane. You should be keen to learn Python, SQL, 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

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit
  3. 3HR discussion — stipend, start date, expectations and offer
23,000/month

Stipend · 6 months

Apply Now →
Openings13 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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