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

Internal Audit provides independent and objective assurance and advisory services designed to add value and protect Temasek's reputation. Reporting functionally to the Audit Committee of the Board of Directors of Temasek Holdings, and administratively to the CEO, Internal Audit helps Temasek accomplish its objectives by bringing a risk-based, systematic and disciplined approach to efficiently evaluate and improve the effectiveness of its risk management, internal controls and governance processes.  

This intern will support the Internal Audit (IA) team in executing data analytics, data sciences, and automation projects and related initiatives to enhance the way audits are conducted and take part in the team's transformation efforts. They will be responsible for designing and testing data solutions, piloting new and innovative technologies, and playing a key role in modernizing IA at Temasek.

Responsibilities

Perform data extraction and transformation from various sources (structured, semi-structured, and unstructured data)
Design data models and execute data analytics procedures to identify trends, anomalies, and insights to support audit processes
Explore the application of natural language processing, unstructured data analytics, and other machine learning techniques to enhance audit procedures
Experiment with innovative technologies such as generative AI (GenAI) and data platforms such as Snowflake to modernize how audits and related efforts are performed
Collaborate with team members to develop reporting and operational dashboards and data applications

The incumbent will be able to gain the following competencies:

Experience in working with SaaS data cloud and reporting technologies such as Snowflake and Tableau
Real-world business application of data analytics/sciences, intelligent automation, machine learning, and GenAI
Experience in driving process alignment, stakeholder management, and cross-functional collaboration
Gain knowledge about audit methodology, risk monitoring, understanding of business processes, controls, and systems

Requirements

Currently pursuing a degree in a relevant field (e.g., Data Analytics, Business Analytics, Data Science, Computer Science, AI)
Strong analytical and problem-solving skills
Proficiency in data extraction, transformation, and analysis using programming languages such SQL, Python
Proficiency in data visualization tools (e.g., Tableau, Power BI)
Strong communication skills and ability to articulate and present work effectively
Highly professional and discreet, able to maintain confidentiality on projects, especially when dealing with sensitive information
Detail-oriented, organized, able to manage multiple tasks effectively
Experience working with various types of large and complex datasets, both structured (e.g. transactions, logs) and unstructured
Experience with large language models (LLM), GenAI use case development, prompt engineering, natural language processing (NLP) techniques and algorithms, unstructured data analysis and text mining
Strong interest in exploring the application of GenAI and use of LLMs within the audit domain
Audit, risk, or fraud investigation related experience

Interpersonal Skills:

Ability to work effectively with team members in a collaborative environment, actively contribute ideas, and be pleasant to work with
Intellectual curiosity and eagerness to learn
Capable of working autonomously, taking initiative, and managing time efficiently to meet deadlines
Strong sense of ownership, demonstrates accountability, and strives for high-quality outcomes

Data Analytics/Science Intern, Internal Audit (Transformation) - Jun/Jul - Dec