Intern, Data Engineering & AI
- Singapore
- Internship
- Intern/New Grad
- Posted
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
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