Senior Data Scientist - NLP & AI for IP Insights

Relx Plc; United Kingdom; Remote; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Health benefits

Flexible work options

Job summary

LexisNexis Risk Solutions is seeking a Senior Data Scientist I to design and validate AI-driven features within Protégé in PatentSight. You will define what to build, leveraging NLP, LLMs, and retrieval systems to solve complex IP workflows.

You will collaborate with engineers, IP experts, and product teams to translate experimental results into scalable, customer-facing solutions that deliver business impact.

Qualifications

• Degree in a quantitative or technical field.
• Strong experience in ML, NLP, and LLM-based modeling.
• Experience designing and running experiments, including model evaluation and iteration.

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).
• Analyze 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.
• Collaborate with product, IP experts, and engineers to align solutions with user needs.

Skills

NLP

LLM modeling

Machine learning

Python

Experimentation

Prompt engineering

RAG

Hybrid search

Data analysis

Education

Bachelor's degree in Statistics, Computer Science, Mathematics, Data Science

Tools

Python

vector databases

LangChain

LangGraph

AutoGen

Job description

LexisNexis Risk Solutions is seeking a Senior Data Scientist I to design and validate AI-driven features within Protégé in PatentSight. You will define what to build, leveraging NLP, LLMs, and retrieval systems to solve complex IP workflows.

You will collaborate with engineers, IP experts, and product teams to translate experimental results into scalable, customer-facing solutions that deliver business impact.