At a Glance
- Tasks: Uncover insights from complex data and build predictive models to drive impactful business decisions.
- Company: Join LexisNexis, a leader in patent intelligence and innovation.
- Benefits: Enjoy generous holidays, health benefits, flexible hours, and extensive learning resources.
- Other info: Be part of a culture that values well-being, innovation, and career growth.
- Why this job: Make a real impact with cutting-edge AI and analytics in a collaborative environment.
- Qualifications: Degree in a technical field and strong experience in machine learning and NLP.
The predicted salary is between 60000 - 80000 £ 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?
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 Senior Data Scientist I 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.
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, we encourage you to apply.
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 the 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 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. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods.
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We think this is how you could land Senior Data Scientist I
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We think you need these skills to ace Senior Data Scientist I
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✨Brush Up on Your Statistics
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