The role involves executing functional and non-functional testing for data and machine learning workloads. The individual will be responsible for validating outputs against legacy system benchmarks and managing test datasets for system and user acceptance testing. Tasks include performing data reconciliation, metric comparison, and defect reporting. The position also requires supporting parallel run testing and regression cycles. Additionally, the role entails maintaining accurate test evidence and execution reports to support large-scale analytics and platform migrations.

The role requires 47 years of experience in Python-based data testing. Candidates must possess strong hands-on experience with Python, SQL, and Pandas. A solid understanding of machine learning workflows, model outputs, and metric validation is necessary. Furthermore, experience working in Agile delivery environments is required.