Principal Data Scientist I

RELX Group; London; Hybrid; GBP 200,000 +; Full time

Job summary

A global information provider in London seeks a Principal Data Scientist to specialize in agentic systems and LLMs. This role involves designing efficient solutions for complex intellectual property applications while collaborating with teams across the company. Candidates should have an advanced degree in a related field and strong skills in context engineering and AI. Flexible working arrangements and numerous benefits are offered.

Benefits

Generous holiday allowance

Health screening and private medical benefits

Employee Assistance Programme

Extensive learning and development resources

Employee discounts through Perks at Work

Qualifications

• Advanced degree in a related field.
• Strong experience in applied AI or LLMs.
• Proficiency in Python and deep learning frameworks.
• Excellent problem-solving and collaboration skills.
• Experience in agile teams.

Responsibilities

• Design and improve agentic systems for complex tasks.
• Develop context engineering strategies.
• Select and host LLMs on Amazon SageMaker or EKS.
• Enhance evaluation frameworks for agentic systems.
• Support and mentor team members.

Skills

Context engineering

LLM fine-tuning

Python

Deep learning frameworks (e.g., PyTorch)

Problem-solving

Collaboration

Education

PhD or Master’s in AI, Computer Science, Mathematics

Job description

Overview

LexisNexis 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 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.

• Designing and improving agentic systems that break down complex tasks into actionable steps.
• Developing innovative context engineering strategies (e.g., retrieval-augmented generation, dynamic context construction, memory optimisation).
• Select, benchmark, and host LLMs on Amazon SageMaker or EKS, comparing and optimising models to ensure agentic systems are fast, accurate, and cost-effective.
• Select, fine-tune, and adapt LLMs to meet specific objectives.
• Enhancing evaluation frameworks to measure performance, efficiency, and success.
• Prioritising and managing improvements to core intelligence using methods like reinforcement learning and self-learning agents.
• Collaborating with engineering and product teams to deliver scalable solutions.
• Supporting and mentoring team members, fostering a culture of inclusion, learning, and innovation.

Qualifications

• Advanced degree (PhD, Master’s, or equivalent experience) in AI, Computer Science, Mathematics, or a related field.
• Strong experience in applied AI or LLMs in a commercial or research setting.
• Strong knowledge of context engineering, LLM fine-tuning, and evaluation of non-deterministic systems.
• Proficiency in Python and deep learning frameworks (e.g., PyTorch).
• Excellent problem-solving, communication, and collaboration skills.
• Experience working in agile, cross-functional teams.

About LexisNexis Intellectual Property

LexisNexis 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. At LNIP, we believe that when a person works on a patent and understands the future trajectory of a technology, they have the potential to change how society operates. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LNIP is disrupting how actionable insight is extracted from patent data, delivering results with efficiency, accuracy, and speed.

Benefits and work approach

Join our team and contribute to a culture of innovation, collaboration, and excellence. We offer flexible working options and a range of wellbeing benefits, including:

• 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
• RECARES days to support charities and causes
• Employee resource groups with dedicated time to volunteer
• Extensive learning and development resources
• Employee discounts through Perks at Work

Work approach

Work in a way that works for you. We promote a healthy work/life balance with flexible hours and an emphasis on delivering value to customers.