Senior Data Scientist – AI/NLP for Agentic IP in London

Senior Data Scientist – AI/NLP for Agentic IP in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
LexisNexis

At a Glance

  • Tasks: Lead ML/NLP projects and design experiments to enhance AI capabilities.
  • Company: Join LexisNexis, a leader in intellectual property solutions.
  • Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic London-based role with a focus on innovation.
  • Why this job: Shape the future of AI in IP and make a real impact.
  • Qualifications: Strong Python skills and experience in data analysis and machine learning.

The predicted salary is between 60000 - 80000 Β£ per year.

Lexis Nexis Intellectual Property (LNIP) is seeking a Senior Data Scientist I to shape agentic AI capabilities for ProtΓ©gΓ© in Patent Sight.

Lead ML/NLP work, design experiments, and collaborate with engineers to deliver scalable, customer-facing insights.

Role focuses on defining what to build and why, leveraging LLMs, RAG, and hybrid search to solve complex IP workflows, with strong Python coding and data-analysis skills.

London-based with flexible working options.

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Senior Data Scientist – AI/NLP for Agentic IP in London employer: LexisNexis

At LexisNexis Risk Solutions, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through our comprehensive benefits package and opportunities for professional development, ensuring that you can thrive in your role as Vice President of Strategy, Data Services. Located in a dynamic environment, we empower our team to make impactful decisions that shape the future of data services while enjoying a supportive work atmosphere that values well-being and work-life balance.

LexisNexis

Contact Details:

LexisNexis Recruitment Team

We think you need these skills to ace Senior Data Scientist – AI/NLP for Agentic IP in London

Machine Learning (ML)
Natural Language Processing (NLP)
Python Coding
Data Analysis
Experiment Design
Collaboration with Engineers
Large Language Models (LLMs)