Senior Data Scientist

Senior Data Scientist - Contract £700-£850 per day | Inside IR35 | Hybrid (1 day per week London) We're looking for a Senior Data Scientist to design and deliver advanced risk and predictive models within complex, highly regulated environments. This role sits at the intersection of analytics, risk, and decision science, focusing on building models that enable organisations to identify emerging threats, quantify risk exposure, and make informed, evidence-based decisions.

You'll work across large, complex, and often sensitive data sets to develop modelling frameworks that support real-world, high-impact outcomes.

Key responsibilities:

Design and develop advanced risk models, including predictive, probabilistic, and scenario-based modelling approaches Apply data science techniques to risk scoring, anomaly detection, and threat assessment across complex datasets Build and deploy machine learning models into production, ensuring scalability and robustness Develop scenario simulations to model potential risks, behaviours, and outcomes under uncertainty Analyse patterns, trends, and outliers to identify emerging threats and risk indicators Translate business and regulatory requirements into practical analytical frameworks Communicate complex findings clearly to technical and non-technical stakeholders Essential experience:
Strong Python data science stack (pandas, Num Py, scikit-learn) Proven delivery of complex models (predictive, probabilistic, simulation-based) in real environments Deep experience in risk modelling, including risk scoring frameworks, predictive risk analytics, and scenario modelling Experience in threat detection / anomaly detection, such as fraud, compliance, safety, or security use cases Strong grounding in statistics, hypothesis testing, and experimental design Experience working with large, complex, and messy data sets Experience in life sciences, healthcare, or other highly regulated sectors This is a high-impact contract for a hands-on data scientist who thrives on solving complex risk problems, building sophisticated models, and helping organisations stay ahead of emerging threats in regulated environments.