Intern, Data Science (Wind Turbine)

Department

Data Science & Analytics

Job posted on

Jun 25, 2025

Employment type

Attachment

Sembcorp is a leading energy and urban solutions provider headquartered in Singapore. Led by its purpose to drive energy transition, Sembcorp delivers sustainable energy solutions and urban developments by leveraging its sector expertise and global track record.

Project: Predictive Asset performance model enhancements for Renewable Wind assets; deep integration in cloud ecosystem and scale-out to new markets.

The objective of the internship is to build and enhance predictive capabilities capabilities using AI for Predictive Asset Management (PAM) of Wind renewable assets on Azure cloud platform.

The solution will be deployed and scaled out implementing best cloud practices to new markets with full-fledged dashboarding and notification capabilities.

This is an excellent opportunity for the intern to learn about end-to-end data science solution development, deployment in Azure cloud and dashboard development.

The intern will also gain first-hand domain knowledge in IoT data pipelining and predictive maintenance for renewable wind assets.

At Sembcorp, our culture is shaped by a strong set of shared behaviours that guide the way we work and uphold our commitment to driving the energy transition.

We foster an institution-first mindset, where the success of Sembcorp takes precedence over individual interests. Collaboration is at the heart of what we do, as we work seamlessly across markets, businesses, and functions to achieve our goals together. Accountability is a core principle, ensuring that we take ownership of our commitments and deliver on them with integrity and excellence. These values define who we are and create a workplace where our people can thrive while making a meaningful impact on driving energy transition.

Join us in making a real impact!

Work Location: 30 Hill Street Singapore 179360

Only Shortlisted Candidates will be notified.