Data Scientist I, Risk Analytics

We are looking for a highly technical, problem-solving Data Scientist I to join our Risk Analytics team in Ebene, Mauritius. You will be joining our dedicated Data Analytics and Tooling squad — the team responsible for building the robust data pipelines, interactive dashboards, and custom applications that empower our global Risk Operations to make fast, accurate decisions.

You will help build and scale data infrastructure to run predictive anomaly detection models, and have the opportunity to integrate AI tools and shape the team's modern tech stack.

What You Will Be Doing

• Data Infrastructure & Pipeline Execution — develop and maintain robust ETL pipelines, data models, and data controls using GCP, BigQuery, dbt, and Cloud Composer
• Tooling & Process Optimization — build intuitive custom UIs to directly support the Risk Operations team
• Actionable Dashboarding — design, build, and maintain Looker dashboards
• AI Innovation & Modeling Infrastructure — build the data infrastructure required to run anomaly detection and credit risk models, and help integrate new AI-based tools into risk decisioning workflows
• Cross-Functional Partnership — act as the trusted data partner for the Risk Operations team

About You

• 2+ years of applied working experience in Data Science, Data Engineering, or Data Analytics
• Advanced SQL fluency; good understanding of database management, ETL pipelines, and data orchestration
• Hands-on with tools like GCP, BigQuery, dbt, Looker, Cloud Composer, Databricks, GitHub, and ReTool
• Bonus: domain experience in Payments, Fraud, E-commerce, or Credit Risk