Senior Data Scientist, AI for Public Learning (2-Year Contract)

Tech; Singapore; Remote; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Leave benefits

Wellness programmes

Flexible work arrangements

Job summary

GovTech, Singapore's Government Technology Agency, is seeking a hands-on Senior Data Scientist for the AI Programme at MOE to translate user needs into practical AI solutions and measurable outcomes in education.

You will work closely with product teams, domain experts and engineers to build, evaluate and improve AI applications, including LLM-based systems, and mentor colleagues while delivering high-impact results within a flexible, innovative environment.

Qualifications

• Substantial experience in applied data science or ML
• Hands-on experience building/evaluating AI applications including LLM-based systems
• Strong Python and SQL skills with reproducible analyses
• Solid foundations in statistics and experimental design
• Ability to translate product goals into measurable criteria

Responsibilities

• Collaborate with product managers, engineers and domain experts to define measurable outcomes
• Build and iterate AI prototypes and workflows (ML, LLMs, retrieval, tools)
• Improve AI behaviour via prompts, experiments and error analysis
• Design evaluation methods with representative datasets and quality rubrics
• Mentor colleagues and share practical methods across teams
• Develop reusable evaluation tools and regression checks with engineers
• Communicate limitations and trade-offs to stakeholders
• Apply data-protection and responsible-AI practices

Skills

Python programming

SQL

Statistics

Experiment design

LLM/AI applications

Education

Master's degree in Data Science or related field

Tools

Git

Docker

Cloud platforms (AWS/GCP)

Job description

GovTech, Singapore's Government Technology Agency, is seeking a hands-on Senior Data Scientist for the AI Programme at MOE to translate user needs into practical AI solutions and measurable outcomes in education.

You will work closely with product teams, domain experts and engineers to build, evaluate and improve AI applications, including LLM-based systems, and mentor colleagues while delivering high-impact results within a flexible, innovative environment.