Senior Data Scientist

Cari; Addlestone; Hybrid; GBP 129,000 - 166,000; Full time

Benefits offered by this job

Remote working

Job summary

Michael Page (UK) is seeking a Senior Data Scientist / Engineer to design and deliver enterprise-scale customer identity resolution capabilities within a data-driven transformation programme.

You will lead governance, ML-driven matching, and Golden Records work, collaborating with data engineering, architecture, and business stakeholders to deliver trusted customer views across domains.

Qualifications

• 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.

Responsibilities

• Designing and implementing customer identity resolution frameworks.
• Developing graph-based and ML-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 identity drift through ongoing optimisation and governance.
• Working with data engineering, architecture, and business stakeholders.
• Supporting MLOps deployment and model monitoring.

Skills

Graph identity

Entity matching

Record linkage

Fuzzy matching

ML identity models

MDM

Feature stores

ML platforms

MLOps

Python

Data engineering

Stakeholder mgmt

Tools

Cloud platforms

ML platforms

Job description

• 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.