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

Keppel Capital International Pte Ltd
πŸ‡ΈπŸ‡¬ Singapore
On-site
Internship
1 month ago
  • AI/ML
  • AI
  • Data Modeling
  • SQL
  • Python
  • AWS
  • Snowflake
  • ETL
  • ELT
  • Machine Learning
  • Pandas
  • NumPy
  • scikit-learn
  • Azure
  • GCP
  • NoSQL
  • BigQuery
  • Databricks
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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 PipelinesSupport AI/ML Model Development & DeploymentContribute to Data Platform & AI/Agentic SolutionsLearning Outcomes:'Understand how large-scale data platforms and architectures are designedLearn best practices in data security, access control, and responsible AI usageDevelop practical experience contributing to production-grade data/AI solutions in a business contextGain hands-on experience in building and managing end-to-end data pipelinesDevelop strong understanding of data modeling, data quality checks, and transformation techniquesBecome 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 fieldStrong fundamentals in programming (preferably Python) and SQLBasic understanding of data structures, algorithms, and software engineering principles 2. Data & AI KnowledgeFamiliarity 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 ExposureExposure to cloud platforms (e.g., AWS, Azure, or GCP) and modern data ecosystems is advantageousFamiliarity with databases (SQL/NoSQL) and data warehousing concepts (e.g., Snowflake, BigQuery, Databricks) 4. Problem-Solving & MindsetStrong analytical thinking and problem-solving skillsAbility to break down complex problems into structured solutionsEagerness to learn and adapt in a fast-paced, technology-driven environment 5. Communication & CollaborationGood communication skills, with the ability to explain technical concepts clearlyTeam player with a proactive and ownership-driven attitudeAbility to work with cross-functional teams (analytics, business stakeholders)

BUSINESS SEGMENT

Corporate

PLATFORM

Operating Division

[Keppel Internship Programme 2027] Intern, Data/AI Engineering (Jan - May 2027) Β· Keppel Capital International Pte Ltd

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