Data Scientist – Risk Analytics

Role Overview

The Data Scientist will leverage advanced analytics, machine learning, and data science techniques to transform data into actionable business insights, supporting risk management, operational efficiency, and strategic decision-making.

What You Will Do

Design, develop, and implement advanced analytics and machine learning solutions, build and maintain scalable data pipelines, build predictive models, develop automated reporting, and analyze large datasets.

Why It Might Be a Fit

This role requires collaboration with cross-functional teams, communication of findings to technical and non-technical audiences, and promotion of data-driven decision making.

Requirements

• Design, develop, and implement advanced analytics and machine learning solutions
• Build and maintain scalable data pipelines
• Build predictive, descriptive, and diagnostic models
• Develop automated reporting, dashboards, and data products
• Analyze large and complex datasets
• Collaborate with cross-functional teams
• Communicate findings to technical and non-technical audiences

Benefits

• Equality of opportunity of benefits
• Reasonable adjustments to support people with individual physical or mental health requirements