Data Scientist - Responsible AI Governance

About the role

Activate Interactive, a technology consultancy in Singapore, is hiring a Data Scientist for its Co-Development Business Unit. The role supports Responsible AI (RAI) within the SWDA Data Strategy and Analytics Division, combining technical evaluation of AI systems with the implementation and operation of agency AI governance processes. It is a fixed-term contract of 1 year.

Key responsibilities

• Evaluate AI use cases, data suitability, modelling assumptions, validation methods and performance measures, and run reproducible tests of accuracy, reliability, robustness, fairness and explainability
• Assess AI risks using government and agency frameworks, test risks such as hallucination, prompt injection and sensitive data disclosure for LLM and agentic systems, and recommend safeguards
• Review submissions for completeness and policy compliance, coordinate clarifications, prepare assessment recommendations and route cases to the approving authority
• Translate IM8, Whole-of-Government RAI and agency requirements into checklists, assessment templates and workflows, and update them as needs change
• Adapt Python scripts, test sets and RAI tools with project teams, define acceptance criteria and monitoring measures, and support reassessment after material changes or incidents
• Provide monthly updates on cases, risks and progress, and hand over evaluation code, documentation and procedures to designated officers before the contract ends

Required profile

• Experience with LLM safety testing, prompt injection testing, fairness assessments, explainability methods or guardrails such as NeMo Guardrails and LLM Guard
• Experience adapting RAI evaluation tools, building test datasets or integrating evaluations and monitoring into AI workflows with engineering teams
• Experience reviewing vendor-developed AI systems, cloud-based ML or LLM deployments, and supporting technical assurance or audit evidence
• Familiarity with IM8 and its requirements, and ability to translate them into practical checks
• Strong analytical judgement, clear written and verbal communication, and ability to manage concurrent cases and work independently

Required skills

• Strong technical understanding of LLMs, prompt engineering and app development with them
• Competence in Python programming
• Some familiarity with cloud deployments for ML models and LLMs
• Understanding of AI safety and algorithmic fairness concepts

What we offer

• Competitive market salary and a variable performance bonus
• Medical coverage, life and health insurance, and flexible benefits or allowance
• Wellness support, learning programmes, certification support and a staff development budget
• Structured career pathways on a technical/expert or leadership track
• Flexible work arrangements (flexi-place, flexi-time, flexi-load)