Senior Data Scientist role in City of London, United Kingdom, working in the Customer Data Science function. This hybrid position focuses on building systems for personalised customer decisioning—from segmentation to offer optimisation and cross-channel experiences. The team aims to personalise offers, online recommendations, digital experiences, and communications using a rich data asset and state-of-the-art machine learning and AI. As a senior individual contributor, you will design, build, and improve algorithms and data pipelines, drive real-time decisioning, and own sub-projects while coaching junior colleagues. You will align with best practices across modelling, experimentation, deployment, and model lifecycle management, and contribute as a technical expert within a large Data & Analytics community. The role requires extensive production-grade data science experience, strong Python and SQL skills, experience with production codebases, CI/CD, and cloud-based ML platforms, and the ability to communicate complex ideas to audiences with varying technical backgrounds. You will work in an Agile environment balancing immediate value with long-term technical rigour, and enjoy a comprehensive benefits package and flexible working.

Senior Data Scientist role in City of London, United Kingdom, working in the Customer Data Science function. This hybrid position focuses on building systems for personalised customer decisioning—from segmentation to offer optimisation and cross-channel experiences. The team aims to personalise offers, online recommendations, digital experiences, and communications using a rich data asset and state-of-the-art machine learning and AI. As a senior individual contributor, you will design, build, and improve algorithms and data pipelines, drive real-time decisioning, and own sub-projects while coaching junior colleagues. You will align with best practices across modelling, experimentation, deployment, and model lifecycle management, and contribute as a technical expert within a large Data & Analytics community. The role requires extensive production-grade data science experience, strong Python and SQL skills, experience with production codebases, CI/CD, and cloud-based ML platforms, and the ability to communicate complex ideas to audiences with varying technical backgrounds. You will work in an Agile environment balancing immediate value with long-term technical rigour, and enjoy a comprehensive benefits package and flexible working.