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

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Onsite

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

Keppel Ltd.

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

Skills

SQL QueriesPythonData ScienceData Analysis

2 months ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

8 September 2026

What they need


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 analysis and data modeling to identify opportunities for improving business and investment decision-making

  • Assist in gathering and analyzing data related to investments, and asset operations
  • Work with cross-functional teams to understand business objectives and translate them into analytical problem statements
  • Conduct exploratory analysis to identify trends, risks, and opportunities
  • Evaluate potential solutions, including their risks, benefits, and impact, using data-driven approaches
  • Prepare clear analyses, presentations, and documentation to communicate insights to stakeholders
  • Contribute to analytics initiatives, dashboards, or prototypes that enable better decision-making for business users
  • Support workshops, user discussions, or training sessions where required
  • Assist in documenting processes, analytical frameworks, and data methodologies Learning Outcomes: 'Exposure to the various industries across Keppel businesses – asset management, energy & environment, connectivity and urban development. Gain a strong understanding of the investment life cycle.

Job Requirements Strong interest in data analytics, business analysis, or data science

  • Basic understanding of fund management, investments, real assets, or financial concepts is preferred
  • Comfortable working with data and analytical tools (e.g. SQL, Python, BI tools)
  • Strong analytical thinking and problem-solving skills
  • Clear written and verbal communication skills
  • Curious, proactive, and willing to learn in a fast-moving environment

BUSINESS SEGMENT Corporate

PLATFORM Operating Division

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