Sembcorp – Data Science Internship (Solar Business)
Location: Singapore
Company Overview:
Sembcorp is a leading energy and urban solutions provider, headquartered in Singapore. The company focuses on driving the energy transition and delivering sustainable energy and urban solutions leveraging global expertise and sector experience.
Role Overview
Interns will contribute to cutting-edge data science projects within Sembcorp’s Solar business, focusing on AI-driven solutions for digitalization, improving operational efficiency, and enhancing user experience.
Key Responsibilities
- Develop an AI-based 3D solar site survey platform using computer vision, multimodal deep learning models, and optimization algorithms.
- Enhance the existing Solar Digital-Twin Analytic and Management Platform through data ingestion, analytics, and modeling.
- Engage in web UI design to improve interface and user experience.
- Facilitate weekly meetings with internal stakeholders, ensuring clear communication and collaboration.
- Support internal and external initiatives through data-driven AI solutions.
Qualifications & Skills
- Currently pursuing a degree in Computer Science, Computer Engineering, Data Science, or related fields.
- Proficient in Python, SQL, Git, machine learning, and algebra.
- Hands-on experience with deep learning frameworks, especially PyTorch.
- Familiarity with data analysis and machine learning libraries: numpy, pandas, matplotlib, plotly, scikit-learn.
- Experience with Microsoft Azure is a plus.
- Strong team player with good communication skills; able to work independently.
Culture & Values
- Collaboration: Seamless teamwork across markets, businesses, and functions.
- Accountability: Ownership of commitments with integrity and excellence.
- Institution-first mindset: Focus on company success over individual interests.
- Interns will gain hands-on exposure to AI, digital twin analytics, and solar energy digitalization in a fast-paced, innovative environment.
This internship is ideal for students passionate about AI, deep learning, data science, and renewable energy technology.
