People Research Scientist, People Analytics

About the role

Grab's People Science team, part of the Office of Organisational Capabilities, turns people data, research and AI into better organisational decisions. As Research Scientist, People Analytics you will apply strategic consulting, applied research and structured problem-solving to complex people and organisational challenges, build AI systems and agents that automate People Science workflows, and advise People and business leaders. The role reports to the Head, People Science and is a 5-day onsite position.

Key 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.
• Develop 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 research, experimental or quasi-experimental methods.
• Advise People and business leaders by framing ambiguous problems, analysing, evaluating options and turning evidence into practical decisions.
• Democratise people data through accessible AI agents, self-service tools and data products for non-technical users.

Required profile

• 8-12 years of experience in strategic consulting, applied research, organisational research, decision science, analytics or a related field, with end-to-end problem solving.
• Experience advising senior stakeholders by defining ambiguous problems, diagnosing root causes 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 methods.
• Practical knowledge of programme evaluation, experimental design and causal or quasi-experimental analysis, and ability to interpret evidence and its limitations.
• Experience synthesising data, research findings and user perspectives into clear recommendations.

Required skills

• Working proficiency in at least one analytical language such as SQL, Python or R.
• Experience engaging with AI tools and emerging technologies, with an understanding of responsible AI, privacy and bias.
• Nice to have: People analytics, organisational psychology, behavioural science, workforce strategy or social research; building or prototyping AI systems, AI agents or LLM-enabled workflows; employee listening, behavioural interventions, productivity measurement or organisational change.

What we offer

• Term life insurance and comprehensive medical insurance.
• GrabFlex benefits package tailored to individual needs.
• Parental and birthday leave, plus LASA volunteering leave.
• A confidential assistance programme for Grabbers and their loved ones.
• FlexWork arrangements such as differentiated hours.