Lead Data Scientist - Python - SC & NPPV3 Cleared

SR2 - Socially Responsible Recruitment; Greater London; Presencial; GBP 85.000 - 120.000; Jornada completa

Descripción de la vacante

SR2 - Socially Responsible Recruitment seeks a Lead Data Scientist to own data matching and entity resolution in a complex public sector data transformation. This hands-on leadership role focuses on scalable, explainable approaches to analyzing and linking large datasets, with close collaboration to data engineers and senior stakeholders.

Essential experience includes clearance and a strong background as a Senior/Lead Data Scientist, with expertise in entity resolution, fuzzy matching and

Formación

• Strong domain expertise in entity resolution, data matching and deduplication.
• Advanced Python and SQL skills with statistical analysis.
• Experience delivering production-ready data science solutions in large datasets.

Responsabilidades

• Lead 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.
• Work with data engineers to transition solutions from PoC to production.
• Provide technical leadership and collaborate with senior stakeholders.

Conocimientos

Entity resolution

Fuzzy matching

Record linkage

Deduplication

Python

SQL

Statistical analysis

Data quality

Model evaluation

Explainability

Production-ready DS

Herramientas

AWS

Redshift

Glue

Descripción del empleo

Lead Data Scientist - Python - SC & NPPV3 Cleared

We\'re looking for an experienced Lead Data Scientist to take ownership of data matching and entity resolution approaches within a complex public sector data transformation programme.

This is a hands-on leadership opportunity focused on developing reliable, explainable and scalable approaches to analysing and linking large datasets.

Key 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.
• Work closely with data engineers to transition solutions from proof of concept into production.
• Provide technical leadership and collaborate with senior stakeholders.

Essential experience:

• Active SC & NPPV3 clearance
• Strong background as a Senior or Lead Data Scientist.
• Proven experience in entity resolution, fuzzy matching, record linkage or deduplication.
• Advanced Python, SQL and statistical analysis skills.
• Experience processing large, complex and imperfect datasets.
• Strong understanding of data quality, model evaluation and explainability.
• Experience delivering production-ready data science solutions.

AWS, Redshift, Glue and government programme experience would be advantageous.