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Intern, Data Engineering & AI

Sembcorp Group

Skills

Required

  • Data Science
  • SQL
  • Python

Preferred

  • Data Engineering
  • resolution
  • pipeline monitoring
  • Big Data technologies
  • Cloud-based resources
  • machine learning
  • data engineering workflows
  • AI-driven pipelines
  • automation
  • data-driven solutions

About Sembcorp Group

  • 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.
  • 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!

Responsibilities

  • Key Roles and Responsibilities Handle diverse Data Engineering tasks, including issue resolution, pipeline monitoring, and operational support.
  • Work extensively with Big Data technologies and Cloud-based resources.
  • Collaborate with Data Scientists and Data Engineers to develop retraining pipeline frameworks and machine learning monitoring systems.
  • Contribute to the design and implementation of data engineering workflows and AI-driven pipelines.
  • Focus on data engineering, automation through data-driven solutions, and analytical insights.
  • Manage and maintain production-grade data engineering pipelines to ensure reliability and scalability.
  • Engage in projects centered around Renewable Analytics products and AI assistant-related data pipelines.

Requirements

  • Background in Data Science, Computer Science or equivalent
  • Basic knowledge in SQL and Python

Working Location

30 Hill Street Singapore 179360