Senior Data Scientist, People Analytics & AI

Grab; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex benefits package

Parental leave

Birthday leave

LASA volunteering leave

Grabber Assistance Programme

FlexWork hours

Job summary

Grab is seeking a Data Scientist in People Analytics to apply strategic consulting, applied research, and structured problem solving to complex organisational challenges. You will build AI systems and agents that automate People Science workflows and advise leaders on real problems, reporting to the Head of People Science.

This is a hands‑on, research‑driven role with a strong product mindset. The role requires research rigour, analytical judgement, and an ability to turn evidence into practical

Qualifications

• 8 - 12 years of experience in strategic consulting, applied research, organisational research, decision science, analytics, or a related field, with hands‑on end‑to‑end problem solving.
• Experience advising senior stakeholders by defining ambiguous problems, diagnosing root causes, evaluating options, and translating evidence into practical decisions.
• Strong applied research capability across qualitative and quantitative methods, including research design, hypothesis development, surveys, interviews, experiments, and mixed‑method approaches.
• Practical knowledge of programme evaluation, experimental design, causal or quasi‑experimental analysis, and the ability to interpret evidence and its limitations.
• Experience synthesise data, research findings, and user perspectives into clear recommendations.
• Working proficiency in at least one analytical language, such as SQL, Python, or R, with the ability to conduct and interpret analysis.
• Experience engaging with AI tools and emerging technologies to improve research, analysis, workflows, and decision support, with an understanding of responsible AI, privacy, and bias considerations.

Responsibilities

• Build an organisational listening and action engine using employee listening, workforce, behavioural, and operational data to identify signals, diagnose root causes, and guide action.
• Build user‑centric AI systems and agents that automate People Science workflows, from data discovery and analysis to hypothesis testing, programme evaluation, insight generation, and recommendations.
• Conduct applied organisational research using qualitative and quantitative methods, including surveys, interviews, experiments, and mixed‑method approaches.
• Design hypotheses and evaluate People programmes or interventions using appropriate research, experimental, or quasi‑experimental methods.
• Act as a strategic advisor to People and business leaders by framing ambiguous problems, conducting analysis, evaluating options, and translating evidence into practical decisions.
• Democratise people data through accessible AI agents, self‑service tools, and data products that help non‑technical users make better decisions.

Skills

Strategic consulting

Applied research

Stakeholder management

Data synthesis

SQL

Python

R

Analytical thinking

Tools

SQL

Python

R

Job description

Grab is seeking a Data Scientist in People Analytics to apply strategic consulting, applied research, and structured problem solving to complex organisational challenges. You will build AI systems and agents that automate People Science workflows and advise leaders on real problems, reporting to the Head of People Science.

This is a hands‑on, research‑driven role with a strong product mindset. The role requires research rigour, analytical judgement, and an ability to turn evidence into practical