About this role
Salary: £? - ? per year
Requirements: Hands-on expertise building and validating statistical and machine learning models, including clustering, regression, and predictive analyticsStrong ability to take problems from framing through to deployment-ready outputsStrong data exploration, feature engineering, and model evaluation skillsAbility to communicate insights clearly to non-technical stakeholdersIdeally experience within demand-led public services, including predictive demand, prevention, and triage/segmentationWorking knowledge of data governance and responsible AI expectations, including privacy, bias awareness, and reproducibility Responsibilities: Build statistical and machine learning models using advanced techniques such as clustering, regression, and predictive analyticsDevelop and validate statistical and machine learning models from problem framing through to deployment-ready outputsExplore data, engineer features, and evaluate model performanceCommunicate findings and insights clearly to non-technical stakeholdersSupport the use of data and AI to improve outcomes and productivityApply data governance and responsible AI practices in model development and delivery Technologies: AISupportMachine Learning More:
We are hiring a Data Scientist for a hybrid role in London, with three days a week in the office and additional on-demand attendance for important meetings. This is an initial 3-month contract, with the possibility of extension, offered inside IR35 at £375 per day. We focus on using data and AI to improve outcomes and productivity, and we value candidates who can work responsibly and effectively in a data-driven environment.
last updated 29 week of 2026