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LexisNexis

Data Scientist III

LexisNexis

Data Scientist III defining agentic workflows and developing AI-driven product capabilities at LexisNexis. Collaborating with engineers and product experts to drive innovation in patent intelligence.

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

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 the 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

ATS Keywords

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Hard Skills & Tools
NLPLLM-Based ModelingModel EvaluationHybrid SearchData AnalysisStatisticsLarge-Scale Text ProcessingExperiment DesignAgent FrameworksPrompt Engineering