Data Scientist
-375pd inside IR35
London with Hybrid working
Number of days a week worked in the office: 3 + on demand in case of any important meetings
Initially 3 months with possible extension

• 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 focus on using data and AI to improve outcomes and productivity.