[Keppel Internship Programme 2027] Intern, Data/AI Engineering (Jan - May 2027)
Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Jul 28, 2026. Keppel scores B on the Alion truth index.
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 FoundationsPursuing 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)