[Keppel Internship Programme 2027] Intern, P&R (Jan - May 2027)
Keppel·Singapore·Machine Learning Engineering
Keppel is hiring a [Keppel Internship Programme 2027] Intern, P&R (Jan - May 2027) in Singapore. Posted 2026-07-28; applications close 2026-10-20 (in 29 days).
Role details
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:
- Conducting research on emerging AI solutions relevant to the energy/renewables sector
- Developing simple AI use cases (e.g., price forecasting, demand/load forecasting, and contract review)
- Supporting the integration of AI tools into business processes
- Working with cross-functional teams to translate business needs into data/AI-driven solutions
Learning Outcomes
- Learn to identify where and how AI can optimize business processes, improve customer segmentation, and accelerate sales
- Understand how to evaluate the business impact of AI tools and track performance metrics
- Learn to ingest, clean, preprocess, and manage large datasets
Job Requirements
- Familiarity with machine learning or AI tools (e.g., ChatGPT APIs, Azure AI)
- Interest in AI, automation, and business applications
- Strong analytical thinking and problem-solving skills
- Good communication skills and ability to work with non-technical stakeholders
Business Segment
Infrastructure
Platform
Operating Division
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Applying to this role
This [Keppel Internship Programme 2027] Intern, P&R (Jan - May 2027) role at Keppel runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.
Jorb AI tracks details for [Keppel Internship Programme 2027] Intern, P&R (Jan - May 2027) at Keppel. Postings refresh hourly from primary careers pages. Job details mirror the firm's posting; the apply link goes directly to the source. Last refreshed 2026-09-20.
