Senior Data Scientist

In this contract role you will design and implement ML/graph-based identity resolution to strengthen customer identity matching and reduce drift in the customer spine. You will define metrics for matching quality and build a reusable identity-resolution framework that scales across systems. The role requires hands-on ML/MDM experience and MLOps practices, with a focus on consolidating customer data through a robust identity layer. You will work within a cross-functional environment to align data architecture with enterprise goals and governance. This is an opportunity to shape identity capabilities for a large-scale, regulated environment.

• market-leading benefits packages
• accommodation

• Build ML/graph-based identity resolution where rules aren’t enough
• Improve customer-spine architecture and reduce identity drift
• Define matching-quality metrics; support golden-layer integration
• Deliver reusable identity-resolution framework

• Entity resolution/record linkage + fuzzy matching
• ML-based identity resolution; MLOps; feature stores
• Customer Master/MDM experience
• Governed identity hierarchy; matching metrics; golden layer integration (nice-to-have)

• Entity resolution/record linkage
• fuzzy matching
• ML-based identity resolution
• MLOps
• feature stores
• Customer Master Data Management (MDM)