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Salary
≈ $56k – $137k per year (Estimated)
Location
In office (Singapore)
Employment
Contractor

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Aug 25, 2026.

Overview
Company
Impact
Profile match
The National University of Singapore (NUS) is the country's flagship public research university, offering undergraduate, graduate and professional programmes across schools including the Yong Loo Lin School of Medicine, NUS Business School, engineering, computing, science and the humanities. It traces its origins to a medical school founded in 1905 and took its present form in 1980 through the merger of the University of Singapore and Nanyang University, and it runs NUS Enterprise, its innovation and venture arm. It hires administrative executives, procurement and communications staff, teaching assistants, laboratory technologists, software engineers and research support personnel.

Job Purpose

The AI Centre for Educational Technologies (AICET) is a research centre that is focused on developing technologies to improve learning. AICET collaborates with the Ministry of Education, Singapore and the National University of Singapore on various projects to build systems that provide immediate personalised feedback to the students, providing content that adapts to their performance, and improve assessment and grading efficiency and effectiveness.

AICET is seeking a highly motivated and independent Data Scientist. Our research focuses on the impact of LLM platforms / tools on university student learning, both in general and in specific disciplines.

Only shortlisted applicants will be notified.

Key Responsibilities

  • Create data pipeline and repositories for mixed data set (structured and unstructured).
  • Analyse datasets, develop predictive models, create visualizations, and deploy AI or LLM-powered automation.

Requirements

  • Education: Bachelor's or Master's degree in Computer Science, Data Science, or Statistics. Strong proficiency in Python or R is preferred.
  • Experience: Demonstrated track record of creating data pipeline / repository of medium to large scale data set.
  • Soft Skills: Strong problem-solving abilities and excellent verbal and written communication skills in English. Strong ability to work both independently and collaboratively within a diverse team.

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Dean's Office (School of Computing)

Employee Referral Eligible:

Job requisition ID : 33915

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