Overview
Keppel is seeking a Data & AI Intern to join its Corporate Operating Division, supporting projects that leverage modern data engineering and AI technologies. You will help build data pipelines, design workflows, and contribute to AI and cloud-based solutions, gaining hands-on experience in cutting-edge data operations while understanding how Keppel drives value across its global business.
What You'll Get Out of This Internship
- Exposure to modern data engineering tools, AI workflows, and cloud infrastructure.
- Hands-on experience building data models and automating processes with workflow orchestration.
- Understanding of enterprise-scale business operations and data-driven decision making.
- Mentorship from experienced data engineers and AI specialists.
- Opportunity to apply Python, SQL, and other technologies in real-world business contexts.
Key Responsibilities
- Build and maintain data pipelines to support analytics and AI initiatives.
- Develop and manage workflow orchestration for complex data processes.
- Assist in creating and refining data models for business insights.
- Support AI engineering tasks, including developing and testing models.
- Work with cloud and DevOps tools to deploy scalable data solutions.
- Collaborate with cross-functional teams to ensure data quality and accessibility.
Requirements
- Proficiency in Python and SQL.
- Basic understanding of AI concepts and model building.
- Familiarity with workflow orchestration tools (e.g., Airflow, DBT) and data warehouses (e.g., Snowflake) is a plus.
- Basic knowledge of data warehouse design principles.
- Strong analytical skills, attention to detail, and willingness to learn.
Who This Internship Is Ideal For
Students passionate about data engineering, AI, and cloud technologies who want to gain hands-on experience in a global, innovative corporate environment.
About the Company
Keppel is a global asset manager and operator specializing in real estate, infrastructure, and connectivity. Headquartered in Singapore, Keppel manages diverse assets worldwide, providing sustainable solutions across renewables, urban development, and digital infrastructure.
Internship Details
Location: Singapore
Duration: 6 months
Commitment: Full-time
Working Arrangement: Onsite/Hybrid (confirm with recruiter)
Stipend: Provided
Application Deadline: [Insert date]
