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Cyient

IoT Data & Analytics Intern

InternshipIn OfficeMadurai, Tamil Nadu6 months35K/mo4 openingsImmediate / Rolling

About this internship

Cyient is hiring a IoT Data & Analytics Intern in Madurai — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to sensor data analytics rather than a certificate-only programme. About the role As a IoT Data & Analytics Intern at Cyient, your core focus…

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 Madurai, Tamil Nadu

Perks & benefits

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & selection process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team

About Cyient

Cyient operates in the iot sector and has an active presence in Madurai. 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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