AI & Data Software Tester is required to join a team working on a large scale AI-enabled data programme. You will lead the testing of AI tools that categorise documents, making sure they are accurate, reliable and explainable.
Responsibilities:
- Validating AI-enabled categorisation of unstructured documents, ensuring results are accurate, precise, reliable and explainable
- Validating document migration processes, ensuring document handling, classification, transfer, event monitoring and audit controls work accurately and reliably
- Working closely with technical teams and business stakeholders to identify risks, improve quality and build confidence in AI-driven decision making
- Providing technical assurance across all stages of the project life cycle
- Reviewing and validating epics, user stories, tasks, acceptance criteria, defects and other Agile artefacts for quality, completeness and alignment with business outcomes
- Monitoring delivery performance and reporting to project managers on progress, risks, dependencies and quality indicators
- Assessing the readiness of deliverables to progress through key delivery stages
- Identifying technical, delivery, operational and strategic risks, and developing and maintaining mitigation plans, tracking actions through to resolution
Skills and experience:
- Extensive experience in software testing, with a strong focus on AI/ML, data quality and data pipeline testing
- Experience validating AI-driven classification or categorisation
- Strong understanding of Agile delivery frameworks and the software development life cycle
- Strong analytical skills, with excellent attention to detail
- Experience of document or data migration testing, including audit controls will be an advantage
