Senior Data Scientist binnen Healthcare in England

Senior Data Scientist binnen Healthcare in England

England Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Uncover insights from complex data and build predictive models to solve real-world challenges.
  • Company: Join LexisNexis, a leader in patent intelligence and innovation.
  • Benefits: Flexible hours, generous holiday allowance, health benefits, and extensive learning resources.
  • Other info: Promote work/life balance with wellbeing initiatives and support for personal growth.
  • Why this job: Make a real impact with cutting-edge AI and analytics in the healthcare sector.
  • Qualifications: Degree in a quantitative field and strong experience in machine learning and NLP.

The predicted salary is between 63000 - 77000 £ per year.

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? 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.

We are seeking a Senior Data Scientist to help with 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.

  • Develop and implement NLP, LLM, and generative AI approaches (e.g., 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.
  • 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 coding skills in Python.
  • Experience with generative AI techniques (e.g., designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases).
  • Proficiency in data analysis tools.
  • Strong foundation in statistics, modeling, and large-scale text processing.

We promote a healthy work/life balance across the organization. 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.
  • 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 extensive learning and development resources.
  • Access to the employee discounts scheme via Perks at Work.

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 enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data.

If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

Senior Data Scientist binnen Healthcare in England employer: RELX Group

At ICIS, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters curiosity and creativity. Our London-based team thrives in a fast-paced environment, providing ample opportunities for professional growth and the chance to become a recognised expert in the evolving energy market. With a commitment to employee well-being and a range of country-specific benefits, we ensure our staff are supported in their pursuit of meaningful and rewarding careers.

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Contact Details:

RELX Group Recruitment Team

We think you need these skills to ace Senior Data Scientist binnen Healthcare in England

Machine Learning
Natural Language Processing (NLP)
Large Language Models (LLMs)
Python Programming
Generative AI Techniques
Data Analysis
Statistical Modelling