People Analytics Scientist - AI-Driven Insights

Grab; Petaling Jaya; On-site; MYR 180,000 - 340,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex benefits

Parental leave

Birthday leave

LASA volunteering leave

Grabber Assistance Programme

Flexible Work arrangements

Job summary

Grab is seeking a People Research Scientist to translate people data and research into actionable organizational insights. You will design AI-enabled workflows, apply rigorous research methods, and advise leaders on people strategy. This is a highly practical, hands-on role reporting to the Head of People Science.

The position emphasizes end-to-end problem solving, data-driven decision making, and collaboration with business leaders to drive organisational outcomes in a fast-paced environment.

Qualifications

• 5+ years of experience in strategic consulting, applied research, organisational research, decision science, analytics, or a related field.
• Experience advising senior stakeholders by defining ambiguous problems and translating evidence into practical decisions.
• Strong applied research capability across qualitative and quantitative methods, including design of surveys, interviews, experiments, and mixed-method approaches.
• Practical knowledge of programme evaluation, experimental design, causal or quasi-experimental analysis, and interpreting evidence.
• Ability to synthesise data, research findings, and user perspectives into clear recommendations.
• Working proficiency in SQL, Python, or R, with ability to conduct and interpret analysis.
• Experience engaging with AI tools and emerging technologies to improve research and decision support, with understanding of responsible AI, privacy, and bias considerations.

Responsibilities

• Build an organisational listening and action engine using multiple data streams to identify signals and guide action.
• Develop user-centric AI systems and agents that automate People Science workflows from data discovery to recommendations.
• Conduct applied organisational research using qualitative and quantitative methods, including surveys, interviews, experiments, and mixed methods.
• Design hypotheses and evaluate People programmes using appropriate research or quasi-experimental methods.
• Act as a strategic advisor to leaders by framing ambiguous problems and translating evidence into practical decisions.
• Democratise people data through accessible AI agents and self-service tools for non-technical users.

Skills

Strategic consulting

Applied research

Qualitative methods

Quantitative methods

Hypothesis testing

Data synthesis

SQL/Python/R

AI tools

Tools

SQL

Python

R

LLM workflows

Job description

Grab is seeking a People Research Scientist to translate people data and research into actionable organizational insights. You will design AI-enabled workflows, apply rigorous research methods, and advise leaders on people strategy. This is a highly practical, hands-on role reporting to the Head of People Science.

The position emphasizes end-to-end problem solving, data-driven decision making, and collaboration with business leaders to drive organisational outcomes in a fast-paced environment.