Patent Data Quality & AI Readiness Specialist

RELX Group

United Kingdom

Remote

GBP 50,000 - 75,000

Full time

6 days ago
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Benefits offered by this job

Generous holiday allowance
Private medical benefits
Wellbeing programs
Parental leave

Job summary

RELX Group's LexisNexis Intellectual Property unit seeks a Patent Data Specialist (Enrichment Quality & AI Readiness) to work hands-on with patent data, using SQL, Python and AI tools. You will define quality standards, build test sets, analyze data, investigate root causes, and drive improvements end-to-end across patent families and ownership attributes.

The role combines deep domain knowledge of patents with practical data work, offering opportunities to shape how data supports AI-powered

Qualifications

  • Experience with patent data or patent information in a data role.
  • Hands-on data skills: querying and analysing data using SQL/Python.
  • Methodical approach to data quality: spotting anomalies and root causes.
  • Experience with AI-assisted data analysis and automated enrichment is a plus.

Responsibilities

  • Define and maintain governed quality standards for patent families and ownership.
  • Build and maintain versioned test sets and worked examples used by engineering teams.
  • Analyse data to identify quality problems and investigate root causes with engineering teams.
  • Lead small quality-improvement projects end-to-end with senior support.
  • Assess data quality from new sources before and after it enters the platform.
  • Review AI-assisted enrichment outputs and feed learnings back into standards.

Skills

SQL
Python
Data analysis
AI tools

Education

Bachelor's degree in science/engineering/information science

Tools

AI tools

Job description

RELX Group's LexisNexis Intellectual Property unit seeks a Patent Data Specialist (Enrichment Quality & AI Readiness) to work hands-on with patent data, using SQL, Python and AI tools. You will define quality standards, build test sets, analyze data, investigate root causes, and drive improvements end-to-end across patent families and ownership attributes.

The role combines deep domain knowledge of patents with practical data work, offering opportunities to shape how data supports AI-powered

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