AI & Analytics Intern, Financial Management (Jun/Jul - Dec 2026)
Singapore, SG, 238891
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
