3 of 3 Model Validation Jobs in Central London

We are looking to onboard two AI Validation Specialists to support the Model Validation/AI Risk & Oversight team at a large UK bank on a contract basis. The roles are primarily aligned to London or Edinburgh with hybrid working, however we can consider strong candidates in other locations within the UK. This is an initial … relatively short notice. Background and Role The bank is scaling the use of AI-enabled solutions across operational efficiency and customer-facing journeys. This includes a growing pipeline of model validations, including early agentic AI validations, alongside use cases such as complaints automation and enhancements to customer-facing chatbots. To alleviate near-term pressure on the validation function … accelerate delivery through H1 2026, we are seeking individuals with strong Python capability and proven experience working in an AWS environment, combined with a sound, pragmatic approach to AI model risk management. The focus is not on hiring AI research gurus, but on bringing in practical validators who can assess what can go wrong, apply proportionate risk management, and More ❯

We are looking to onboard two AI Validation Specialists to support the Model Validation/AI Risk & Oversight team at a large UK bank on a contract basis. The roles are primarily aligned to London or Edinburgh with hybrid working, however we can consider strong candidates in other locations within the UK. This is an initial More ❯

and preprocess structured and unstructured data from multiple internal and external sources. Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Design and implement data pipelines for model-ready datasets in collaboration with data engineering teams. Apply feature engineering and selection techniques to improve model accuracy and interpretability. Develop and validate machine learning and statistical models … models using appropriate metrics and perform hyperparameter tuning for optimal performance. Convert proof-of-concept models into production-grade pipelines in collaboration with MLOps and engineering teams. Required: Translate model outcomes into actionable insights through clear storytelling and visualizations. Build dashboards and reports using Power BI, Tableau, or Python-based visualization tools. Communicate findings to both technical and non … Partner with business analysts, architects, and domain experts to define use cases and success metrics. Contribute to the enterprise AI roadmap, bringing thought leadership on analytical methodologies. Document methodologies, model logic, and validation results for audit and reproducibility. Participate in Agile ceremonies, sprint planning, and client showcases. If you'd like to discuss this data scientist role in More ❯