SC-Cleared Senior Data Scientist: Entity Resolution

SR2 - Socially Responsible Recruitment; Greater London; On-site; GBP 104,000 - 136,000; Part time

Job summary

SR2 - Socially Responsible Recruitment is seeking a Senior Data Scientist with active SC clearance for a government programme in London. The role focuses on improving a large-scale data matching engine, refining rules to reduce false positives and boost efficiency.

You will analyse entity resolution across systems and work with engineering to push changes into production. The ideal candidate has strong Python (pandas, NumPy, scikit-learn), SQL skills, and experience with Elasticsearch,

Qualifications

• Experience with entity resolution/record linkage or fuzzy matching.
• Strong Python experience with pandas, NumPy and scikit-learn.
• Solid SQL skills and experience working with large datasets.
• Experience with Elasticsearch, Kubernetes and Docker.
• Understanding of precision, recall and false-positive optimisation.
• Exposure to Kafka, AWS, PostgreSQL, Bash, Jenkins or Ansible would be beneficial.
• Previous government/defence/security/identity matching environments are advantageous.

Responsibilities

• Analyse and optimise entity resolution and data matching performance.
• Refine, test and implement matching rules using data-driven insights.
• Improve matching accuracy, precision and recall.
• Work closely with engineering teams to deliver improvements into production.
• Support performance testing and ongoing optimisation.

Skills

Entity resolution

Python

pandas

NumPy

scikit-learn

SQL

precision recall

Elasticsearch

Kubernetes

Docker

Kafka

AWS

PostgreSQL

Bash

Jenkins

Ansible

Government/defence experience

Tools

Elasticsearch

Kubernetes

Docker

AWS

PostgreSQL

Bash

Jenkins

Ansible

Job description

SR2 - Socially Responsible Recruitment is seeking a Senior Data Scientist with active SC clearance for a government programme in London. The role focuses on improving a large-scale data matching engine, refining rules to reduce false positives and boost efficiency.

You will analyse entity resolution across systems and work with engineering to push changes into production. The ideal candidate has strong Python (pandas, NumPy, scikit-learn), SQL skills, and experience with Elasticsearch,