Senior Data Scientist: Identity & Master Data Architect

Hitachi, Ltd.; Greater London; Hybrid; GBP 100,000 - 130,000; Full time

Benefits offered by this job

Private healthcare

Pension scheme

Annual volunteering day

Social events

Job summary

GlobalLogic in London seeks a Senior Data Scientist/Engineer to evolve the customer identity architecture and ML platform. You will design advanced entity resolution, implement matching models, and build the data spine powering customer master records.

Key work includes scalable entity-resolution framework, governed identity hierarchies, and end‑to‑end MLOps pipelines to productionize identity models.

Qualifications

• Deep expertise in record linkage, fuzzy matching, graph algorithms and ML for entity resolution.
• Hands‑on experience building enterprise MDM/Customer 360 platforms.
• Proficient in modern MLOps practices including deployment pipelines and monitoring.
• Ability to define and track data quality, matching confidence and drift metrics.

Responsibilities

• Design and scale an entity-resolution framework using rules, fuzzy matching and ML.
• Develop the core customer spine and governed identity hierarchies to prevent drift.
• Build, deploy and monitor probabilistic and model‑based matching where rules fall short.
• Establish matching quality metrics, benchmarks and feedback loops for precision/recall.
• Integrate identities and Golden Layer records into enterprise data platforms.
• Manage end‑to‑end MLOps workflows and feature stores for scalable identity models.

Skills

Entity resolution

MDM / Customer 360

MLOps

Data quality metrics

Tools

Feature stores

Model deployment pipelines

Automated model monitoring

Job description

GlobalLogic in London seeks a Senior Data Scientist/Engineer to evolve the customer identity architecture and ML platform. You will design advanced entity resolution, implement matching models, and build the data spine powering customer master records.

Key work includes scalable entity-resolution framework, governed identity hierarchies, and end‑to‑end MLOps pipelines to productionize identity models.