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BP Wealth logo — BP Wealth Python Data Analyst Intern in Bhubaneswar, Odisha
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Python Data Analyst Intern

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Location

Bhubaneswar, Odisha

Work Mode

In Office

Duration

3 months

Stipend

₹12,000/mo

Start Date

Immediate / Rolling

Openings

7 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹12,000/moApply on Company Website ↗

About the Internship

BP Wealth has an open Python Data Analyst Intern position in Bhubaneswar for motivated freshers and final-year students. You will work on live Python-based analytics and automation projects and finish with something you can genuinely talk about in interviews. About the role As a Python Data…

About BP Wealth

BP Wealth offers a mentor-led Python Data Analyst Intern in Bhubaneswar with live project work in data analyst, a stipend of ₹12,000/month and a Pre-Placement Offer opportunity for strong performers.
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Bhubaneswar, OdishaVerified employer7 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 Bhubaneswar. 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

Live project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsBroad 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. 2Technical interview on fundamentals and your projects
12,000/month

Stipend · 3 months

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Openings7 positions
Applicants0 applied
ModeIn Office
CategoryData Analyst
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