Principal Data Scientist - Agentic Systems

Principal Data Scientist I - Agentic Systems

Ready to pioneer agentic AI systems that will transform how the world discovers and protects intellectual property?
Do you thrive in creating a collaborative and customer-focused work environment?

Lexis Nexis Intellectual Property, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.

Lexis Nexis Intellectual Property Solutions is seeking a Principal Data Scientist specialising in Agentic Systems
, with deep expertise in efficient context engineering, fine-tuning large language models (LLMs), and multi-agent workflows
. This hands-on role focuses on pushing the boundaries of how intelligent systems plan, reason, and act in real-world intellectual property (IP) applications.

As part of our dynamic Data Science and AI Engineering community, you’ll have the opportunity to rotate across diverse problem domains, gaining broad expertise while delivering impact. You’ll partner closely with product managers and commercial teams to understand the workflows of IP professionals, and collaborate with engineers to prototype, evaluate, and optimise intelligent agents that drive measurable customer value.

• Design, build, and optimise agentic systems capable of breaking down complex tasks into executable steps.
• Innovate in context engineering strategies (retrieval-augmented generation, dynamic context construction, memory management) to maximise LLM effectiveness.
• Select, fine-tune, and adapt large language models (LLMs) to align with agent objectives.
• Enhance and extend evaluation frameworks for online and offline performance, efficiency, and success rates.
• Select, benchmark, and host LLMs on Amazon Sage Maker or EKS
  , comparing and optimising models to ensure agentic systems are fast, accurate, and cost-effective.
• Own and prioritise a backlog of improvements to core intelligence, applying methods such as RLHF and self-learning agents.
• Collaborate with AI engineering and product teams to deliver production-ready solutions.
• Mentor and supervise junior data scientists and foster a culture of innovation, collaboration, and continuous improvement.

• PhD in AI, Computer Science, Mathematics or a related field; or Master’s with equivalent experience.
• Hands-on experience in LLMs or applied AI research in a commercial environment.
• Proven expertise in context engineering, LLM fine-tuning, and evaluation of non-deterministic systems
  .
• Strong programming skills in Python and proficiency in deep learning frameworks (e.g.,
  Py Torch ).
• Strong problem-solving, analytical, and communication skills.
• Demonstrated ability to work collaboratively with engineering and product stakeholders in an agile environment.

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.

We promote a healthy work/life balance across the organisation. 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.

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.
• Life assurance
• Access to a competitive contributory pension scheme
• Save As You Earn share option scheme.
• Travel Season ticket loan
• 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…