Senior NLP & LLM Scientist for AI-Powered IP Workflows

RELX Group; Poltimore; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Generous holiday allowance

Private medical benefits

Pension scheme

Share option scheme

Travel season ticket loan

Electric Vehicle Scheme

Dental Insurance

Life assurance

Employee learning & development

Job summary

LexisNexis Intellectual Property Solutions (LNIP) seeks a Data Scientist III to design and validate AI-driven capabilities for Protégé in PatentSight. You will lead NLP/LLM modeling, RAG prompts, and hybrid search to tackle multi-step IP tasks and deliver actionable insights for patent workflows.

You will partner with engineers to translate experiments into scalable, customer-facing solutions, establishing rigorous evaluation and benchmarking to influence product strategy and business impact.

Qualifications

• Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science).
• Strong experience in machine learning, NLP, and LLM-based modeling.
• Strong experience designing and running experiments, including model evaluation and coding skills in Python.
• Experience with generative AI techniques (e.g., prompt engineering, RAG).
• Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector designing agent workflows, with hands-on experience applying agent frameworks.
• Proficiency in data analysis tools.
• Strong foundation in statistics, modeling, and large-scale text processing.

Responsibilities

• Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search).
• Define agentic workflows and reasoning strategies for multi-step IP tasks.
• Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).
• Analyse large-scale IP datasets to extract insights and improve model performance.
• Establish best practices for model evaluation, validation, and benchmarking.
• Translate experimental results into clear product recommendations and business impact.

Skills

NLP

LLM modeling

Machine learning

Python

RAG

Prompt strategies

Patent search

Experiment design

Embeddings

Hybrid search

Education

Degree in a quantitative field

Statistics

Computer Science

Data Science

Tools

LangChain

LangGraph

AutoGen

Google ADK

Embeddings

Job description

LexisNexis Intellectual Property Solutions (LNIP) seeks a Data Scientist III to design and validate AI-driven capabilities for Protégé in PatentSight. You will lead NLP/LLM modeling, RAG prompts, and hybrid search to tackle multi-step IP tasks and deliver actionable insights for patent workflows.

You will partner with engineers to translate experiments into scalable, customer-facing solutions, establishing rigorous evaluation and benchmarking to influence product strategy and business impact.