Senior Data Scientist

LexisNexis

Senior Data Scientist I leveraging machine learning and NLP for strategic patent analysis at LexisNexis. Collaborating with engineers to build scalable solutions based on validated approaches.

Posted 7/10/2026full-timeFarringdon • 🇬🇧 United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing NLP, LLM, and generative AI approaches, with a strong foundation in machine learning and data analysis. Proficient in designing agentic workflows and hybrid search strategies to enhance model performance and deliver actionable insights.

Highest-signal resume keywords

Machine LearningNatural Language ProcessingGenerative AI TechniquesPython Coding SkillsData Analysis Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

NLPLLM-Based ModelingModel EvaluationHybrid SearchData AnalysisStatisticsLarge-Scale Text ProcessingExperiment DesignAgent FrameworksPrompt Engineering

Tools & Technologies

Google ADKLangChainLangGraphAutoGenVector Databases

Industry Keywords

Intellectual PropertyRetrieval StrategiesEvaluation MetricsRelevanceRanking Quality

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

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 the employee discounts scheme via Perks at Work