[Hiring] Patent Data Specialist @LexisNexis UK

Role Description

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.

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.

Qualifications

• 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: 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: able to 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.

Requirements

• 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.
• You do not need to have worked for a data or software company before.

Benefits

• 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.