Senior Data Scientist - NLP & AI for IP Insights

LexisNexis IP; United Kingdom; Remote; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Private medical benefits

Pension scheme

Share option scheme

Travel season ticket loan

Electric Vehicle Scheme

Maternity/paternity leave

Learning & development resources

Employee discounts

Job summary

LexisNexis Intellectual Property Solutions (LNIP) in the United Kingdom seeks a Senior Data Scientist I to drive NLP/LLM-based product capabilities within Protégé for PatentSight. You will shape what to build, run experiments, and translate results into scalable, customer-facing solutions with engineers and IP experts.

Ideal candidates combine ML/NLP excellence, strong Python skills, and hands-on experience with generative AI, RAG, and hybrid search using embeddings.

Qualifications

• Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).
• Strong experience in machine learning, NLP, and LLM-based modeling.
• Strong experience designing and running experiments, including model evaluation and iteration.
• Strong 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 databases.
• Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases.
• 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.
• Collaborate with product, IP experts, and engineers to align solutions with user needs.

Skills

ML & NLP

LLMs

Python

Experiment design

Hybrid search

Vector embeddings

Agentic workflows

Data analysis

Statistical modeling

Education

Degree in quantitative or technical field

Tools

LangChain

LangGraph

AutoGen

Google ADK

Job description

LexisNexis Intellectual Property Solutions (LNIP) in the United Kingdom seeks a Senior Data Scientist I to drive NLP/LLM-based product capabilities within Protégé for PatentSight. You will shape what to build, run experiments, and translate results into scalable, customer-facing solutions with engineers and IP experts.

Ideal candidates combine ML/NLP excellence, strong Python skills, and hands-on experience with generative AI, RAG, and hybrid search using embeddings.