[Keppel Internship Programme 2027] Intern, Data/AI Engineering (Jan - May 2027)

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 for:

• Building and maintaining data pipelines
• Supporting AI/ML model development and deployment
• Contributing to data platform and 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 building and managing end-to-end data pipelines
• Develop a 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

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

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

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)

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

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