
Intern, Data Science
Sembcorp Industries
Company Overview
Sembcorp Industries
Singapore
1998
Business Model
Energy and Utilities
Power generation, water treatment, and waste management
Electricity sales, water supply, and waste management services
Locations & Geography
Singapore, China, India, Vietnam, and the United Kingdom
Company Culture
Their mission is to provide sustainable solutions for a better future, focusing on innovation and operational excellence.
They promote a collaborative and inclusive work environment that encourages employee engagement and development.
They offer various training programs and career advancement opportunities to support employee growth.
Activities & Projects
They are currently involved in renewable energy projects, including solar and wind energy initiatives.
They have developed advanced technologies for energy efficiency and waste management.
They are committed to reducing carbon emissions and promoting sustainable practices across their operations.
Career Opportunities
Typical job openings include roles in engineering, project management, and environmental science.
They offer competitive salaries, health benefits, and opportunities for professional development.
Contact Information
Last updated on 2025-03-25 | Report an issue
Job Description
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
This internship is intended to support data-driven projects, including but not limited to our current initiative, Thermal OS. The individual will work under the guidance of a senior team member to assist in data collection, preprocessing, analysis, model development, and dashboard deployment.
Key Responsibilities
- Data Collection & Cleaning:
Assist in gathering data from various sources and ensure its quality through thorough cleaning and preprocessing techniques. - Exploratory Data Analysis (EDA):
Perform initial data investigations to identify trends, patterns, and potential insights that guide further modeling efforts. - Model Training & Validation:
Support the development of predictive or classification models by helping train, evaluate, and refine them using standard machine learning libraries and frameworks. - Model Deployment:
Collaborate with engineers or senior data scientists to integrate models into production environments or applications. - Dashboard Development & Data Processing:
Contribute to building interactive dashboards for visualizing key data metrics and automating data pipelines for ongoing data tasks.
Qualifications, Skills & Experience
- Programming experience in Python.
- Hands-on experience with data manipulation and analysis using libraries such as NumPy, Pandas, and Matplotlib.
- Basic experience in machine learning modeling using Scikit-learn.
- Familiarity with SQL and working with relational databases.
- A strong willingness and eagerness to learn new skills and tools in the data science ecosystem.
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
About the role
May 27, 2025
Internship
Company
May 27, 2025
On-site
- Singapore
Internship level, no prior experience required
UTC+08:00
Apply now
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