IoT Cloud & Data Intern - Year-End Program

PwC Singapore

Singapore

On-site

SGD 20,000 - 27,000

Full time

31 hours ago
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Job summary

PwC Singapore invites penultimate-year students in Computer Science, Computer Engineering, Electronics Engineering or Information Systems to join our Digital, Cloud, Data team as an Intern/Trainee from December 2026 to February 2027. You will work on building and deploying an industrial IoT platform for enterprise clients across SEA.

You will gain hands-on experience with IoT sensors, PLCs, MES/SCADA, and Azure services, while collaborating with mentors to deliver real-world data-driven

Qualifications

  • Penultimate-year student in Computer Science, Computer Engineering, Electronics Engineering, Information Systems or related IoT/SCADA/PLC field.
  • Good understanding of IoT communication protocols.
  • Familiarity with PLCs and manufacturing systems (MES/SCADA) is a plus.

Responsibilities

  • Configure and deploy PwC-built IoT platform for industrial clients across on-prem and Azure environments.
  • Integrate sensors (flow, pressure, level, quality, asset health) with Azure IoT Hub and SCADA systems.
  • Support real-time monitoring, automated control, alerting, and reporting for production and processes.
  • Lead client workshops translating requirements into platform configurations, data models, and dashboards.
  • Participate in PoCs and go-lives: device onboarding, gateway setup, edge processing, OT/IT integration.

Skills

IoT/SCADA/PLC

Education

Bachelor's Degree

Tools

Azure IoT Hub
MES

Job description

PwC Singapore invites penultimate-year students in Computer Science, Computer Engineering, Electronics Engineering or Information Systems to join our Digital, Cloud, Data team as an Intern/Trainee from December 2026 to February 2027. You will work on building and deploying an industrial IoT platform for enterprise clients across SEA.

You will gain hands-on experience with IoT sensors, PLCs, MES/SCADA, and Azure services, while collaborating with mentors to deliver real-world data-driven

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