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Qualcomm India

IoT Data & Analytics Intern

InternshipIn OfficePune, Maharashtra2 months31K/mo1 openingImmediate / Rolling

About this internship

Join Qualcomm India in Pune as a IoT Data & Analytics Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on sensor data analytics work. About the role As a IoT Data & Analytics Intern at Qualcomm India…

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Skills you'll use

PythonSQLTime-series AnalysisPandasData VisualisationAnomaly DetectionCloud IoT PlatformsGrafanaStatisticsReport Writing

What you'll do

  • Work on turning device telemetry into monitoring, alerts and insight alongside the core team
  • Apply Python, SQL, Time-series Analysis, Pandas to live, production-facing problems
  • Document your work clearly for reviewers and stakeholders
  • Participate in reviews and act on the feedback you receive
  • Collaborate across engineering, product, design or business as required
  • Follow the team's quality, testing and documentation standards

Who can apply

  • Pursuing or recently completed B.E./B.Tech/BCA/MCA/B.Sc (Statistics) — 2026 freshers & final-year students welcome
  • Working knowledge of Python, SQL, Time-series Analysis (or a genuine willingness to learn them)
  • Strong fundamentals in your discipline and clear problem-solving ability
  • Care with detail and the discipline to document your work
  • Clear written and verbal communication in English
  • Based in or willing to work from Pune, Maharashtra

Perks & benefits

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

Interview & selection process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit

About Qualcomm India

Qualcomm India operates in the iot sector and has an active presence in Pune. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The work runs at…
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