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Royal Enfield logo — Royal Enfield Python Data Analyst Intern in Pune, Maharashtra
Royal Enfield VerifiedActively Hiring

Python Data Analyst Intern

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Location

Pune, Maharashtra

Work Mode

In Office

Duration

6 months

Stipend

₹21,000/mo

Start Date

Immediate / Rolling

Openings

12 positions

Type

Full-time

Category

Data Analyst

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

About the Internship

Royal Enfield is hiring a Python Data Analyst Intern in Pune — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to Python-based analytics and automation rather than a certificate-only programme. About the role As a Python Data Analyst Intern at Royal…

About Royal Enfield

Royal Enfield offers a mentor-led Python Data Analyst Intern in Pune 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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Pune, MaharashtraVerified employer12 openings
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Skills Required

PythonPandas & NumPyMatplotlib & SeabornSQLJupyter NotebooksData CleaningExploratory Data Analysis (EDA)APIs & JSONGitScripting & Automation

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), BCA/MCA, B.Sc/M.Sc (Statistics / Data Science) who are based in or willing to work from Pune. You should be keen to learn Python, Pandas & NumPy, Matplotlib & Seaborn 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. 2Technical interview on fundamentals and your projects
  3. 3HR discussion — stipend, start date, expectations and offer
21,000/month

Stipend · 6 months

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Openings12 positions
Applicants2 applied
ModeIn Office
CategoryData Analyst
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