Lead Data Scientist (Analytics)

Role Overview

As the Lead Data Scientist (Analytics), you will be the strategic voice behind product innovation, turning complex data into actionable experiments that shape the bank’s future. This isn’t just an analytics role; it’s an opportunity to own the data lifecycle, pioneer Generative AI initiatives, and directly influence how we build and scale products at GXBank.

What You Will Do

Partner with product, design, and engineering teams to derive insights, design experiments, and drive key product decisions. Analyze clickstream and transactional data to uncover insights on user behavior and drive product metrics.

Why It Might Be a Fit

You will need to have strong experience in translating data insights into relevant recommendations for non-technical and senior team members, and experience in designing, running, and analyzing A/B tests and product experiments.

Requirements

• Bachelor’s Degree in Statistics, Analytics, Economics, Mathematics, Engineering, or related fields.
• Minimum 7 years of experience in Analytics, Business Intelligence, or Data Science in a Bank or Tech (FinTech or E-Commerce) company.
• Proficient in writing advanced SQL queries, Python and querying large relational databases.
• Experience with data visualisation platforms like Tableau or HTML to present findings.
• Strong experience in translating data insights into relevant recommendations for non-technical and senior team members.
• Experience in designing, running, and analyzing 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 (create a benefits package that suits your needs and aspirations)
• Parental and Birthday leave
• Love-all-Serve-all (LASA) volunteering leave
• Grabber Assistance Programme (guidance and support through life’s challenges)
• FlexWork arrangements (balancing personal commitments and life’s demands)