Siemens India

IoT Data & Analytics Intern

InternshipIn OfficeWarangal, Telangana3 months26K/mo3 openingsImmediate / Rolling

About this internship

Siemens India has an open IoT Data & Analytics Intern position in Warangal for motivated freshers and final-year students. You will work on live sensor data analytics projects and finish with something you can genuinely talk about in interviews. About the role As a IoT Data & Analytics Intern at…

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 Warangal, Telangana

Perks & benefits

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experience

Interview & selection process

3 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Technical interview on fundamentals and your projects
3HR discussion — stipend, start date, expectations and offer

About Siemens India

Siemens India operates in the iot sector and has an active presence in Warangal. 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…

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