Solution Internship

Temasek is a global investment company headquartered in Singapore, with a net portfolio value of S$434 billion (US$324 billion, €299 billion, £250 billion, and RMB2.35 trillion) as at 31 March 2025. Marking our unlisted assets to market would provide S$35 billion of value uplift and bring our mark to market net portfolio value to S$469 billion. Our Purpose So Every Generation Prospers guides us to make a difference for today's and future generations. Operating on commercial principles, we seek to deliver sustainable returns over the long term. We have 13 offices in 9 countries around the world: Beijing, Hanoi, Mumbai, Shanghai, Shenzhen, and Singapore in Asia; and Brussels, London, Mexico City, New York, Paris, San Francisco, and Washington, DC outside Asia. For more information on Temasek, please visit www.temasek.com.sg . For Temasek Review 2025, please visit www.temasekreview.com.sg. For Sustainability Report 2025, please visit https://www.temasek.com.sg/content/dam/temasek-corporate/sustainability/2025/Temasek-Sustainability-Report-2025.pdf. Introduction Rapid AI advancements, an ageing society, geopolitical forces and other megatrends are having an impact on jobs, skills and ways of working. In this dynamic and turbulent time, Temasek's Workforce 4.0 team has a mission to shape the future of work and influence the strategy for boosting workforce resilience in Temasek's extensive ecosystem of strategic assets and investments. At Workforce 4.0, you will be part of a team that helms strategic initiatives to drive our Workforce 4.0 agenda, towards Temasek's T2030 strategy of building a resilient and forward-looking portfolio. The team leverages Temasek's ecosystem footprint, Centres of Excellence, as well as catalytic capital to advance human capital through workforce-related strategies and initiatives. You will gain first-hand insight and access to thought leadership on how organisations are rethinking traditional talent management and workforce development strategies in light of AI and other megatrends. You'll get the opportunity to shape transformative strategies in this area. You will also get to network with influential stakeholders in business, government and the labour movement. Responsibilities Contribute to the conceptualisation and validation of workforce resilience proposals/ideas Contribute to the development of strategies to obtain buy-in for these proposals/ideas, and contribute to the implementation of these proposals/ideas Conduct horizon scans of emerging workforce-related trends, technologies and regulations, deploying the use of AI as needed to ensure timely updates so that the team is 'ahead of the curve' Support the planning, organisation and management of workforce-related initiatives, including engagement and networking platforms,and executive briefing sessions Support implementation of the annual Temasek Tripartite Conversations (content development and stakeholder management) Incumbent Will Be Able to Gain the Following Competencies Research and analytical skills Stakeholder engagement and executive engagement Specific domain knowledge, e.g. workforce development, AI/digital, sustainability, energy Effective communication through presentation materials High-profile / executive-level events and workshop organisation and management Requirements Currently pursuing a Degree in Business, Economics, Environmental Sciences, HR, Humanities/Social Sciences, International Relations, Public Policy, Law or related fields. Year 2 and 3 students are welcomed to apply. Relevant internship experience in government/trade relations/public policy or working in a matrix organisation would be a plus Strong analytical and problem-solving skills Strong communication skills and ability to articulate and present work effectively Detail-oriented, organized, able to manage multiple tasks effectively Highly professional and discreet, able to maintain confidentiality on projects, especially when dealing with sensitive information Experience with emerging skills in the new AI-led economy such as familiarity with large language models (LLM), GenAI use case development and prompt engineering would be a plus