Lead Data Scientist (Python) — Entity Resolution Expert

SR2 REC LTD

Greater London

On-site

GBP 90,000 - 120,000

Full time

3 days ago
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Job summary

SR2 REC LTD is seeking an experienced Lead Data Scientist to own data matching and entity resolution within a major public sector data transformation programme. The role is hands-on and leadership-focused, delivering scalable, explainable solutions for large datasets.

You will drive methodologies for deterministic, probabilistic and fuzzy matching, and work with data engineers to move solutions into production, coordinating with senior stakeholders to ensure measurable improvements in data

Qualifications

  • Active SC & NPPV3 clearance.
  • Senior/Lead data scientist experience.
  • Experience with entity resolution, fuzzy matching, record linkage or deduplication.
  • Advanced Python, SQL and statistical analysis skills.
  • Experience handling large, complex datasets.
  • Strong data quality, model evaluation and explainability knowledge.
  • Experience delivering production-ready data science solutions.

Responsibilities

  • Lead the development of entity resolution, record linkage and data matching methodologies.
  • Design deterministic, probabilistic and fuzzy matching approaches.
  • Analyse data quality, inconsistencies and matching confidence.
  • Develop and evaluate algorithms using Python, SQL and statistical techniques.
  • Define performance measures including precision, recall and false-positive rates.
  • Collaborate with data engineers to transition proofs of concept into production.
  • Provide technical leadership and engage with senior stakeholders.

Skills

Python
SQL
Statistical analysis
Data quality
Model evaluation
Explainability
Production-ready solutions

Tools

AWS
Redshift
Glue

Job description

SR2 REC LTD is seeking an experienced Lead Data Scientist to own data matching and entity resolution within a major public sector data transformation programme. The role is hands-on and leadership-focused, delivering scalable, explainable solutions for large datasets.

You will drive methodologies for deterministic, probabilistic and fuzzy matching, and work with data engineers to move solutions into production, coordinating with senior stakeholders to ensure measurable improvements in data

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