Data Scientist

Data Scientist375pd inside IR35London with Hybrid workingNumber of days a week worked in the office: 3 + on demand in case of any important meetingsInitially 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.

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