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Persistent Systems

Applied Data Scientist Intern

InternshipHybridNoida, Uttar Pradesh6 months26K/mo4 openingsImmediate / Rolling

About this internship

Persistent Systems has an open Applied Data Scientist Intern position in Noida for motivated freshers and final-year students. You will join a supportive team, take ownership of meaningful data science tasks, and grow the practical skills employers actually look for. As a Applied Data Scientist…

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Skills you'll use

PythonMachine LearningStatisticsSQLExperimentationPandas

What you'll do

  • framing business problems as data problems
  • building and validating predictive models
  • running experiments and A/B tests
  • communicating findings to stakeholders
  • Collaborate with the team and document your work
  • Take ownership of assigned tasks and act on feedback

Who can apply

  • Pursuing or recently completed a relevant degree (stream depends on the role) — 2026 freshers & final-year students welcome
  • Foundational knowledge of Python, Machine Learning, Statistics (or a strong willingness to learn them)
  • Good communication, problem-solving and a genuine eagerness to learn
  • Based in or willing to work from Noida
  • A portfolio, project or coursework you can show (a plus, not mandatory)

Perks & benefits

Letter of RecommendationMentorship from experienced professionalsReal-world project experienceHands-on with industry toolsPre-Placement Offer (PPO) opportunity

Interview & selection process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Case study or take-home assignment with a short presentation
  3. 3HR discussion — stipend, start date, expectations and offer

About Persistent Systems

Persistent Systems operates in the software space and actively invests in early-career talent across Noida. Its culture is practical and learning-oriented: mentorship, honest feedback and real project work are part of everyday life, and interns are treated as genuine members of the team. Working…
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