Senior Data Scientist - Outside IR35

• Build and enhance entity resolution models using Splink
• Apply statistical and machine learning methods to improve match confidence and reduce false positives/negatives
• Design scalable architectures for linking records across large, diverse data sources
• Work closely with engineering teams to productionise solutions into operational environments
• Validate models and document methodologies for auditability and ongoing optimisation
• Contribute to delivery plans, stakeholder updates, and best-practice guidance within the project

• 5-7+ years' experience in data science or a closely related field
• Strong knowledge of financial services and/or regulatory data challenges
• Deep expertise in entity resolution (probabilistic and deterministic approaches)
• Hands-on experience using Splink for record linkage
• Strong Python and SQL programming skills
• Comfortable solving problems with incomplete, ambiguous, or noisy data
• Strong analytical thinking and ability to communicate complex concepts clearly

Desirable Experience

• Knowledge of graph-based technologies (Neptune, Neo4j, OpenCypher, etc.)
• Experience delivering within Agile teams
• Exposure to cloud deployments and DevSecOps principles