Senior Data Scientist

• Shape enterprise-scale customer identity solutions
• Lead a high-impact customer data transformation

About Our Client

Our client is a globally recognised organisation undergoing a significant data and digital transformation programme. They are investing heavily in advanced data capabilities, customer intelligence, and AI-driven solutions to improve customer understanding and create a single, trusted view of customers across multiple business domains.

Job Description

As a Senior Data Scientist / Engineer, you will play a critical role in designing and delivering enterprise-scale customer identity resolution capabilities. Working within a highly skilled data team, you will lead the development of governed customer identity frameworks and leverage advanced matching techniques to improve customer data quality and accuracy.

Key responsibilities include:

• Designing and implementing customer identity resolution frameworks.
• Developing graph-based and machine learning-driven entity resolution solutions.
• Building model-based matching capabilities where deterministic rules are insufficient.
• Creating and maintaining customer master data and identity governance processes.
• Implementing matching quality metrics and monitoring frameworks.
• Delivering Golden Layer integration to create trusted customer records.
• Developing reusable identity resolution components and frameworks.
• Reducing customer identity drift through ongoing optimisation and governance.
• Working closely with data engineering, architecture, and business stakeholders.
• Supporting MLOps deployment, model monitoring, and continuous improvement initiatives.

The Successful Applicant

The ideal candidate will possess a strong blend of data science, machine learning, and data engineering expertise, with a track record of delivering large-scale customer identity and master data initiatives.

Essential Skills & Experience

• Strong experience with graph-based identity resolution and entity matching.
• Expertise in record linkage and fuzzy matching techniques.
• Experience building ML-driven identity resolution models.
• Strong understanding of Customer Master Data Management (MDM).
• Experience with feature stores and modern machine learning platforms.
• Proven MLOps experience, including deployment, monitoring, and model lifecycle management.
• Strong Python and data engineering capabilities.
• Experience working with complex customer data ecosystems.
• Ability to define and measure matching-quality metrics.
• Strong stakeholder management and communication skills.

Highly Desirable

• Experience creating governed customer identity hierarchies.
• Knowledge of customer-spine architectures.
• Experience integrating trusted Golden Records/Golden Layers.
• Background building reusable identity resolution frameworks.
• Experience reducing identity drift across enterprise platforms.
• Exposure to cloud-based enterprise data platforms and large-scale transformation programmes.

What's on Offer

• Competitive day rate of £700-£900 per day (Inside IR35), depending on experience.
• Initial 12-month contract
• Primarily remote working arrangement with occasional engagement linked to Canary Wharf.
• Opportunity to work on one of the most challenging and impactful customer data programmes in the market.
• Exposure to advanced AI, machine learning, graph analytics, and data platform technologies.
• Immediate start available.