AI & Analytics Intern, Financial Management (Jun/Jul - Dec 2026) (1353841657A0)

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 .

Responsibilities

• Design and develop AI-enabled dashboards and reports using tools such as Streamlit, Tableau, and Snowflake Cortex to deliver actionable business insights to a wide range of business users across the firm
• Build, maintain, and govern semantic models in Snowflake (metrics, dimensions, hierarchies, relationships) to enable consistent analytics and Cortex AI-powered insights
• Support the pioneering phase of a data analytics hub, enabling generation of insights, trends, anomalies, and variance analysis across multiple entities and systems using AI capabilities
• Develop and implement process automation, end-to-end automated data pipelines and workflows to improve efficiency, reduce manual effort, and enhance scalability of existing processes
• Ensure robust documentation on dashboard builds, automation logic, specifications, and user guides to support transparency, maintainability, and knowledge transfer
• Collaborate closely with cross-functional teams to ensure data quality, governance, and sustainability of analytics and automaton solutions

Requirements

• Proficiency in SQL and/or Python for data manipulation and dashboard building; familiarity with common and AI data libraries (e.g., pandas, snowflake-ml-python) is a plus
• Strong analytical skills and problem-solving skills, with attention to detail. Comfortable working with large datasets and performing data cleansing/ validation/ quality checks
• Ability to gather reporting & business requirements and translate them into dashboards & automated solutions.
• Experience with data visualization tools (Streamlit preferred)
• Knowledge of automation tools (Power Automate or UiPath preferred)
• Good communication skills to work with internal and external stakeholders, ability to explain technical concepts to non-technical stakeholders
• Strong organizational abilities and demonstrated eagerness to learn
• Preferred: Experience building and maintaining governed semantic models/layers in Snowflake-translating business definitions into standardized metrics, dimensions, hierarchies, and relationships-with strong focus on data quality, lineage, and governance to support reliable Cortex AI-powered analytics and consistent insight generation.

What we offer

• Structured Internship Programs (20 - 24 weeks) with projects to tackle real business problems using latest AI and ML product suites from Snowflake
• To be part of a team driving change and transformation leveraging on AI and analytics backed with access to modern data stack & tooling Snowflake (incl. Cortex), BI/dashboard tools (Tableau/Streamlit), and automation platforms (UiPath/Power Automate)
• Mentorship from experienced professionals in finance and accounting
• The opportunity to see your solutions make a tangible impact on business operations across various functions
• The opportunity to engage with engage with various stakeholders to understand business challenges and reporting requirements, translating them into effective, automated data and analytics solutions
• Collaborative environment that values fresh perspectives and innovative thinking