Job Description

About Sembcorp

Sembcorp is a leading energyand 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.

Key Roles and Responsibilities

Work closely with data science and architecture team to deliver impactful solutions for the Renewables and Utilities space. Work with a wide variety of Big Data and Cloud resources . Developing retraining pipeline framework and ML monitoring system along with Data Scientists and Data Engineers Contribute to a team that focuses on data engineering worklows, AI pipelines The role entails a larger focus on data engineering, data-driven automation,data analysis Other key responsibilities will include managing and maintaining Data engineering pipelines in production systems. The projects are focused on Renewable Analytics products, AI assistant related data pipelines

Qualifications, Skills & Experience

Project work/github experiments/knowledge in python Software engineering experience Data engineering tools like spark, ADX is a plus ML Projects implemented in the past SQL knowledge Participation in hackathons/Kaggle a plus but not required Prior experience with small IT/ data projects

Our Culture at Sembcorp

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!

Working Location: 30 Hill Street Singapore 179360

Job Snapshot

Updated Date
31-10-2025
Job ID
Job ID3631
Department
Data Science & Analytics
Location
Singapore, Central, Singapore
Employee Type
Attachment
Employee Sub Type*