Patent Data Specialist (Enrichment Quality & AI Readiness)

Patent Data Specialist (Enrichment Quality & AI Readiness)

Do you enjoy working hands-on with messy patent data, using SQL, Python and AI tools?

Do you revel in finding the root cause of an error, then making sure it never happens again?

Come join us and help build the world's most trusted patent data, ready for the AI that professionals worldwide rely on.

About the team

LexisNexis Intellectual Property, part of RELX, helps the world's innovators, IP professionals, law firms, and investors understand patents: their own, their competitors', and those of the companies they are assessing. Our products, including PatentSight+, IPlytics and TotalPatent One, and the patent data we deliver directly into customers' own systems, inform decisions on R&D investment, licensing, litigation, M&A and competitive strategy.

Every one of those decisions rests on the same foundation: patent data that is grouped, attributed, and kept up to date correctly. We are looking for someone who wants to help get that foundation right.

About the role

Patent data is hard for people and machines alike. One invention can be filed in dozens of countries under different numbers and rules; one company can hold patents under many names, subsidiaries, and spellings; and whether a patent is still alive depends on events spread across years and jurisdictions. Any data or AI system built on top is only as good as the answers to a few basic questions. Which filings belong to the same family? Who really owns a patent once subsidiaries, acquisitions and spelling variants are untangled? Is a patent still in force, and do we know this for every country we are interested in? A single wrongly grouped family or misattributed owner can quietly change how a customer sees a competitor.

In this role, you will work alongside senior patent data experts to define what correct looks like for these foundations, test our data against it, and track down why things go wrong. It is a rare chance to combine patent knowledge with hands-on data work, and to grow into a recognised expert in an area that underpins everything we do.

Key Responsibilities

Work with our senior patent data experts to define and maintain governed quality standards and acceptance criteria for patent families, ownership, legal status, and coverage, including how to handle tricky edge cases.

Build and maintain versioned test sets and worked examples, such as correctly grouped families or correctly resolved owners, that engineering teams build closed-loop evaluations on, so data quality is checked automatically and continuously.

Analyse our data to find quality problems, investigate their root causes with engineering teams, recommend fixes, and help design checks so they do not recur.

Lead smaller quality-improvement projects end to end, with support from senior colleagues.

Assess the quality of data from new sources and patent authorities before and after it enters our platform.

Review the output of automated and AI-assisted enrichment, such as ownership mapping, and feed what you learn back into the standards and evaluations.

Document rules and decisions clearly so they can be applied consistently, by people and by automated tools, including agentic workflows.

Help resolve data questions raised by product teams and customers, sometimes against tight timelines, and turn recurring ones into reusable guidance.

Requirements

Experience working with patent data or patent information, for example as a patent analyst, patent information specialist, searcher, or in a data role at a patent office, data provider, or IP firm.