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UrbanPiper logo — UrbanPiper Data Science Internship in Nashik, Maharashtra
UrbanPiper VerifiedActively Hiring

Data Science Internship

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Location

Nashik, Maharashtra

Work Mode

Hybrid

Duration

6 months

Stipend

₹20,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹20,000/moApply on Company Website ↗

About the Internship

UrbanPiper is hiring a Data Science Internship in Nashik — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to data science rather than a certificate-only programme. About the role As a Data Science Internship at UrbanPiper, your core focus will be…

About UrbanPiper

UrbanPiper offers a mentor-led Data Science Internship in Nashik with live project work in data analyst, a stipend of ₹20,000/month and a Pre-Placement Offer opportunity for strong performers.
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Nashik, MaharashtraVerified employer2 openings
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Skills Required

PythonStatisticsMachine LearningPandas & NumPySQLData VisualisationFeature EngineeringModel EvaluationJupyterCommunication of Results

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 Nashik. You should be keen to learn Python, Statistics, Machine Learning 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 CertificateDirect access to the team that owns the data you work on

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
20,000/month

Stipend · 6 months

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Openings2 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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