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.