Senior Data Scientist: NLP & LLM for IP Insights

Senior Data Scientist: NLP & LLM for IP Insights

Full-Time 56250 - 68750 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and validate AI-driven capabilities for scalable IP analytics.
  • Company: Join RELX INC’s innovative LexisNexis team focused on intellectual property solutions.
  • Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Make a global impact by driving NLP/LLM research and delivering user-facing solutions.
  • Qualifications: Experience in data science, NLP, and machine learning required.

The predicted salary is between 56250 - 68750 £ per year.

RELX INC’s Lexis Nexis Intellectual Property Solutions seeks a Senior Data Scientist I to design and validate AI-driven capabilities within Protégé in Patent Sight.

You will drive NLP/LLM research, experiments, and ML engineering to deliver scalable IP analytics features for users worldwide.

You will collaborate with engineers, IP experts, and product teams to translate research into user-facing solutions, measure model performance, and guide product decisions.

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Senior Data Scientist: NLP & LLM for IP Insights employer: RELX INC

LexisNexis Risk Solutions is an exceptional employer located in Cardiff, offering a vibrant work culture that prioritises employee well-being and professional growth. With generous benefits such as a competitive pension scheme, health screening, and extensive learning resources, employees are supported in their career journeys while contributing to meaningful solutions in risk assessment. Join a collaborative team where your contributions matter and enjoy the unique advantage of working for a company dedicated to making a positive impact on society.

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Contact Details:

RELX INC Recruitment Team

We think you need these skills to ace Senior Data Scientist: NLP & LLM for IP Insights

Natural Language Processing (NLP)
Large Language Models (LLM)
Machine Learning (ML) Engineering
AI-driven Capabilities Design
Scalable Analytics Features Development
Collaboration with Engineers and Product Teams
Model Performance Measurement