Associate Data Scientist (12-Month Contract) - Organisation & People

About Temasek

Temasek is a globally recognized investment firm based in Singapore, managing a net portfolio valued at S$518 billion as of 31 March 2026. Driven by the purpose "So Every Generation Prospers," Temasek aims to create enduring sustainable returns to benefit present and future generations. The company operates from 13 offices in 9 countries, including key locations throughout Asia and Western cities like London and New York.

Role Overview

The Organisation & People (O&P) team at Temasek is expanding its data science capabilities to foster advanced analytics and AI-driven workforce insights. The Associate Data Scientist on a 12-month contract will collaborate closely with data scientists, product managers, and business units to execute predictive modeling, AI experiments, and data preparation that support decision-making across the enterprise.

Key Responsibilities

• Develop, test, and refine predictive models focused on workforce planning, talent insights, and skills analysis.
• Utilize statistical and machine learning methods to analyze employee data and deliver actionable insights.
• Contribute to the creation and ongoing enhancement of AI-powered agents that automate analytic processes and produce decision-support outputs.
• Implement and monitor agent-based AI workflows to promote autonomous insight generation.
• Manage connected data models such as graph representations to enable AI-ready analytics.
• Perform data ingestion, validation, reconciliation, and maintain high data quality across multiple people data sources.
• Help maintain data governance practices including data dictionaries, access controls, and compliance with established data and AI standards.
• Create and upkeep dashboards and visualizations using Tableau, Qlik Sense, and prototype analytics apps via Streamlit.
• Collaborate with stakeholders to translate business challenges into analytical solutions and support prototype testing and iterative enhancements.

Qualifications & Skills

• Degree in Data Science, Computer Science, Statistics, Engineering, or closely related fields.
• Between one to three years of relevant experience in data science, analytics, or AI-related positions; strong internship or project experience also considered.
• Proficiency in Python for data analysis and foundational machine learning applications.
• Familiarity with Streamlit or comparable frameworks for building data applications.
• Experience with data visualization tools like Tableau or Qlik Sense.
• Knowledge of data modeling techniques, both relational and graph-based.
• Exposure to large language models (LLMs), prompt engineering, or agent-based AI platforms is advantageous.
• Understanding of data governance including access control and data privacy considerations is a plus.

Personal Attributes

• Detail-oriented, proactive, and enthusiastic about continuous learning.
• Able to engage effectively with both technical experts and non-technical colleagues.
• Curious and adaptable, driven to leverage data and AI for solving organizational challenges.