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Nice Systems (NICE) logo — Nice Systems (NICE) Data Science Intern in Purnia, Bihar
Nice Systems (NICE) VerifiedActively Hiring

Data Science Intern

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Location

Purnia, Bihar

Work Mode

Hybrid

Duration

3 months

Stipend

₹20,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

Data Science

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About the Internship

Join Nice Systems (NICE) in Purnia as a Data Science Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on data and analytics work. About the role As a Data Science Intern at Nice Systems (NICE), your…

About Nice Systems (NICE)

Nice Systems (NICE) offers a mentor-led Data Science Intern in Purnia with live project work in data science, a stipend of ₹20,000/month and a Pre-Placement Offer opportunity for strong performers.
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Purnia, BiharVerified employer3 openings
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Skills Required

PythonMachine LearningStatisticsPandasSQLData VisualisationFeature EngineeringModel EvaluationJupyterStorytelling with Data

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech/M.Sc (Statistics, Maths)/MCA/MBA (Analytics) who are based in or willing to work from Purnia. You should be keen to learn Python, Machine Learning, Statistics 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

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours

Interview & Selection Process

4 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
  3. 3Discussion with the hiring manager on the role and your fit
  4. 4HR discussion — stipend, start date, expectations and offer
20,000/month

Stipend · 3 months

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Openings3 positions
Applicants1 applied
ModeHybrid
CategoryData Science
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