Keppel
[Keppel Internship Programme 2027] Intern, Data/AI Engineering (Jan - May 2027)
Singapore
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- Seniority
- Internship
- Country
- SG
- Work mode
- On-site / unstated
- First seen by hirly
- 27 Sept 2026
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the posting
JOB DESCRIPTION
Keppel is a leading global asset manager and operator with strong capabilities in energy & environment, urban development and connectivity, creating solutions for a sustainable future.
- The intern will be responsible in the following:
- 'Build & Maintain Data Pipelines
- Support AI/ML Model Development & Deployment
- Contribute to Data Platform & AI/Agentic Solutions
- Learning Outcomes:
- 'Understand how large-scale data platforms and architectures are designed
- Learn best practices in data security, access control, and responsible AI usage
- Develop practical experience contributing to production-grade data/AI solutions in a business context
- Gain hands-on experience in building and managing end-to-end data pipelines
- Develop strong understanding of data modeling, data quality checks, and transformation techniques
- Become proficient in working with modern data stack tools (e.g., SQL, Python, cloud data platforms like AWS/Snowflake)
JOB REQUIREMENTS
1. Educational Background & Technical Foundations
- Pursuing a degree in Computer Science, Data Science, Engineering, or a related field
- Strong fundamentals in programming (preferably Python) and SQL
- Basic understanding of data structures, algorithms, and software engineering principles
2. Data & AI Knowledge
- Familiarity with data processing concepts (ETL/ELT, data modeling, data cleaning)
- Exposure to machine learning fundamentals (e.g., supervised/unsupervised learning, model evaluation)
- Experience with common data/ML libraries (e.g., Pandas, NumPy, scikit-learn) is a plus
3. Tools & Platform Exposure
- Exposure to cloud platforms (e.g., AWS, Azure, or GCP) and modern data ecosystems is advantageous
- Familiarity with databases (SQL/NoSQL) and data warehousing concepts (e.g., Snowflake, BigQuery, Databricks)
4. Problem-Solving & Mindset
- Strong analytical thinking and problem-solving skills
- Ability to break down complex problems into structured solutions
- Eagerness to learn and adapt in a fast-paced, technology-driven environment
5. Communication & Collaboration
- Good communication skills, with the ability to explain technical concepts clearly
- Team player with a proactive and ownership-driven attitude
- Ability to work with cross-functional teams (analytics, business stakeholders)
BUSINESS SEGMENT
Corporate
PLATFORM
Operating Division
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