-Build statistical and machine learning models using advanced techniques such as clustering, regression, predictive analytics.
-Hands-on expertise building and validating statistical/ML models (e.g., clustering, regression, predictive analytics) with ability to take problems from framing through to deployment-ready outputs. -Must be strong in data exploration, feature engineering, model evaluation, and communicating insights clearly to non-technical stakeholders ideally within demand-led public services (predictive demand, prevention, triage/segmentation).
-Needs working knowledge of data governance and responsible AI expectations (privacy, bias awareness, reproducibility), aligned to Brent’s focus on using data and AI to improve outcomes and productivity.