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Keppel

[Keppel Internship Programme 2027] Intern (Jan - May 2027)

Keppel is hiring a [Keppel Internship Programme 2027] Intern (Jan - May 2027) in Singapore, Singapore. Level rates it ; you can apply on Keppel.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Level classes it as an internship.
  • Keppel has 196 other open roles on Level.

AI in this role

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: 'Support O&M department in term of digitalisation effort, i.e., GoArc, ePTW, daily operation processes Involved in daily O&M activities to provide new insights and suggestion to improve and streamline the workflow Shadow and support maintenance engineers to conduct boiler overhaul meeting, monitor and update the boiler overhaul activities progress, thus gaining project management skills Conduct problem analysis and troubleshooting on plant processes Support O&M in project Innovation (PI) and Safety Innovation Team Projects (SIT) Engage and support O&M in different audits, i.e., ISO50001, Energy Conservation Act, Carbon Pricing Act, ISO140001, ISO45001, ISO9001 etc. Engage in and support overseas WTE projects" Learning Outcomes: '• Gain industrial insights of the Environment Business. • Gain commercial experience. • Apply and connect academic theories with real-time applications.

JOB REQUIREMENTS

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BUSINESS SEGMENT

Infrastructure

PLATFORM

Operating Division

How we rate this

[Keppel Internship Programme 2027] Intern (Jan - May 2027) at Keppel rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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