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, 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. 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.
• Present findings to colleagues and stakeholders.

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.
• Understanding of how patent data is structured: families, priority claims, kind codes, legal status, assignees, and the differences between patent authorities.
• Hands-on data skills: you are comfortable querying and analysing data yourself, for example in SQL, Python, or similar tools.
• A methodical approach to data quality: spotting anomalies, finding root causes and checking that fixes work.
• Practical use of AI tools in your own work beyond basic chat, for example AI-assisted data analysis, coding assistants or automated extraction, and an understanding of where automated and AI-based enrichment can go wrong.
• Precision and care with detail, combined with the judgment to know which problems matter most.
• Clear written communication: you can explain a data rule or an edge case so others can apply it.
• Typically, 2 or more years in patent information, patent analysis, or data roles involving patents or similarly complex data.
• A degree in a scientific, engineering, technical, information science or related subject, or equivalent practical experience.

It would be great if you also have:

• Experience with company ownership data, corporate hierarchies, or entity resolution.
• Experience with non-English patent data, for example Chinese, Japanese or Korean.
• Familiarity with data modelling, taxonomies, or classification systems.
• Experience with data quality tooling or automated testing of data.

This role is probably not for you if you'd rather analyse patents for specific end clients than work on the data behind the analysis, if you don't enjoy working hands-on with data, or if you're not keen to use AI tools in your work.

Why Join Us?

You'll help make sure the data behind patent decisions worldwide is right, learning from experienced experts, with the backing of a global group that has been building data, analytics and AI products for many years, and with colleagues who care about getting things right.

In your application:

Please tell us briefly about one of the following:

• A time you found an error in patent data or other complex data: how you spotted it, what caused it, and what you'd put in place to stop it happening again.
• A time you used an AI tool on a complex data analysis task, or to parse complex data: where it helped, where it got things wrong, and how you checked.

Work in a way that works for you:

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working for you:

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Generous holiday allowance with the option to buy additional days.
• Health screening, eye care vouchers, and private medical benefits.
• Wellbeing programs.
• Life assurance.
• Access to a competitive contributory pension scheme.
• Save As You Earn share option scheme.
• Maternity, paternity, and shared parental leave.
• Employee Assistance Programme.
• Access to employee resource groups with dedicated time to volunteer.
• Access to extensive learning and development resources.
• Access to employee discounts scheme via Perks at Work.

About the business:

At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data.