Senior Data Scientist (Analytics), Financial Services

Role Overview

The Senior Data Scientist (Analytics) will report into the Senior Analytics Manager and work onsite in Grab One North Singapore office. The role will use data to understand user needs and be the de-facto Voice of the Customer (users, driver-partners, merchants, agents) across the Save and Spend TF suite of products.

What You Will Do

The Senior Data Scientist (Analytics) will use data to unveil insights to help launch, improve and scale our products. The role will champion data-driven decision-making within Grab Financial Services and partner with Product Managers, Business Owners, UX Designers, Marketing and Engineers to design analytical solutions that drive the Product roadmap.

Why It Might Be a Fit

The role requires a Senior Data Scientist (Analytics) with at least 4 years of experience in Analytics, Business Intelligence, or Data Science, in a Tech (FinTech or E-Commerce) company or Financial Institution. The ideal candidate will have a Bachelor’s Degree in Statistics, Analytics, Economics, Mathematics, Engineering, or related fields.

Requirements

• at least 4 years of experience in Analytics, Business Intelligence, or Data Science
• Bachelor’s Degree in Statistics, Analytics, Economics, Mathematics, Engineering, or related fields
• proficient in writing advanced SQL queries and querying large relational databases
• hands-on experience with data analysis and programming tools such as Python or R
• skill in data visualisation platforms like Tableau or PowerBI or D3.js to present findings
• experience designing, running, and analysing A/B tests and product experiments, with knowledge of hypothesis testing and the basic principles of Design of Experiments (DoE)

Benefits

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