Scoring Engineer/Data Scientist

• Design, build, unit test, and maintain ML models and ML pipelines on the Azure platform
• Support and enhance a fraud analytics platform (Quantexa experience preferred)
• Work closely with solution architects, data engineers, and cross-functional teams
• Deliver analytical solutions using a hypothesis-driven approach
• Translate complex analytical concepts into clear, actionable insights
• Support release activities, defect resolution, and production deployments
• Produce documentation, release notes, and model governance artefacts

• Strong experience in machine learning and statistical modelling
• Exposure to fraud, financial crime, compliance, or risk analytics
• Experience building ML pipelines, feature engineering, and working with large datasets
• Hands-on experience with MLOps (CI/CD, model deployment, unit testing)
• Strong SQL skills
• Experience with model governance, explainability, and observability
• Experience using Azure, Azure DevOps, and Git
• Programming experience in Python (Scala desirable)
• Excellent analytical and problem-solving skills
• Eligible for BPSS clearance
• Able to work onsite in London 2-3 days per week

Desirable

• Quantexa platform experience or certification
• Apache Spark experience
• Background in insurance, banking, or financial services
• Experience in enterprise-scale AI or data science programmes

Hybrid: WFH & London (2-3 days per week) - £525 per day (Inside IR35) Contract Posted by: Synergize Consulting Ltd Posted: Tuesday, 13 January 2026 Applicants must be eligible to work in the specified location