Data Scientist (Analytics), Financial Services

Role Overview

As a Data Scientist in Grab’s Financial Services team, you will use data to understand user needs, unveil insights to scale products, and promote data-driven decision-making. You will work alongside AI agents, learn analytics in an AI-first world, and partner with Product, Business, Risk, Design, and Engineering teams.

What You Will Do

Deliver reliable analysis, design and run A/B tests, build and maintain dashboards, and work with AI tools to speed up your work. You will also share progress, changes, and findings with partners and explain data insights in plain language.

Why It Might Be a Fit

We are looking for a candidate with 0-3 years of experience in analytics, data science, or a related role, with strong internships or research projects. You should have a degree in Statistics, Economics, Mathematics, Engineering, Computer Science, or a related field, and solid SQL and Python skills.

Requirements

• 0 to 3 years in analytics, data science or a related role
• A degree in Statistics, Economics, Mathematics, Engineering, Computer Science or a related field
• Solid SQL and working Python
• A good grasp of statistics and hypothesis testing
• Hands-on A/B testing experience is a plus
• You already work with AI
• Clear communication
• Curiosity and a fast learning curve

Benefits

• Term Life Insurance
• comprehensive Medical Insurance
• GrabFlex benefits package
• Parental and Birthday leave
• Love-all-Serve-all (LASA) volunteering leave
• FlexWork arrangements

Tagged as: Data Analysis, Python, SQL