Intern, Data Engineering & AI
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Summary
An intern at Sembcorp supports data engineering and AI initiatives: monitoring and maintaining production data pipelines, working with big data and cloud resources, and helping build ML retraining and monitoring frameworks for renewable analytics and AI assistant projects. Requires a CS/Data Science background and basic SQL and Python.
About Sembcorp
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.
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.
Qualifications, Skills & Experience
Background in Data Science, Computer Science or equivalent Basic knowledge in SQL and Python
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
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.
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.
Qualifications, Skills & Experience
Background in Data Science, Computer Science or equivalent Basic knowledge in SQL and Python
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