Data Scientist (Analytics), Financial Services

📋 Description

• Deliver reliable analysis: Take clearly defined problems and deliver accurate answers with minimal
• Learn the experimentation craft: Help design, run and read A/B tests with support from senior
• Reporting: Build and maintain dashboards, metric definitions and the data your partners rely on.
• Work AI-first: Use AI tools every day to write SQL and Python, explore data and speed up your work.
• Keep partners in the loop: Share progress, changes and findings early. Explain what the data says
• Own your growth: Ask for feedback, act on it and pick up our best practices quickly.

🎯 Requirements

• 0 to 3 years in analytics, data science or a related role. Strong internships or research projects
• 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: You use AI tools in your daily work and can show us something you built
• Clear communication. You can explain an analysis to someone who isn't a data person.

🎁 Benefits

• Term Life Insurance and comprehensive Medical Insurance
• GrabFlex benefits package
• Parental and Birthday leave
• Love-all-Serve-all (LASA) volunteering leave
• Confidential Grabber Assistance Programme
• FlexWork arrangements such as differentiated hours