Data Scientist III

RELX International; Farringdon; On-site; GBP 70,000 - 115,000; Full time

Benefits offered by this job

Generous holiday allowance

Private medical benefits

Wellbeing programs

Life assurance

Contributory pension scheme

Travel Season ticket loan

Job summary

LexisNexis Intellectual Property Solutions (LNIP) in the United Kingdom seeks a Data Scientist III to help shape AI-enabled product capabilities within Protégé for PatentSight.

You will design and validate NLP/LLM approaches, drive experiments, and collaborate with engineers to deliver scalable, decision-ready IP solutions for customers worldwide.

Qualifications

• Degree in a quantitative field (Statistics, CS, Mathematics, Data Science).
• Strong experience in ML, NLP and LLM-based modeling.
• Experience designing and running experiments with model evaluation.
• Strong Python coding skills.
• Experience with generative AI techniques and RAG.
• Experience in hybrid search using embeddings and vector databases.
• Hands-on with agent frameworks (e.g., Google ADK, LangChain).
• Proficiency in data analysis tools and large-scale text processing.

Responsibilities

• Develop NLP, LLM, and generative AI approaches for IP workflows.
• Define agentic workflows and reasoning strategies for multi-step tasks.
• Develop retrieval strategies including hybrid search and evaluation metrics.
• Analyse large IP datasets to extract insights and improve models.
• Establish best practices for model evaluation, validation, and benchmarking.
• Translate experiments into product recommendations and business impact.
• Collaborate with product teams, IP experts, and engineers.

Skills

Python

NLP

LLM-based modeling

Machine learning

Experiment design

Vector databases

LangChain

LangGraph

AutoGen

Data analysis

Education

Degree in Statistics/ CS/ Maths/ Data Science

Tools

LangChain

LangGraph

AutoGen

Job description

Data Scientist III

Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data?

About the team:

LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.

Protégé in PatentSight is LNIP's next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics.

About the role:

We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions.

Key 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.

Requirements:

• 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.

Why Join Us?

Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact,

Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

- Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working for you

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Generous holiday allowance with the option to buy additional days.
• Health screening, eye care vouchers, and private medical benefits
• Wellbeing programs
• Life assurance
• Access to a competitive contributory pension scheme
• Save As You Earn share option scheme.
• Travel Season ticket loan.
• Electric Vehicle Scheme
• Optional Dental Insurance
• Maternity, paternity, and shared parental leave
• Employee Assistance Programme
• Access to emergency care for both the elderly and children
• RECARES days, giving you time to support the charities and causes that matter to you.
• Access to employee resource groups with dedicated time to volunteer.
• Access to extensive learning and development resources
• Access to employee discounts scheme via Perks at Work

About the business-

At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more producti