Principal Data Scientist I - Agentic Systems

Reposted 3 Days Ago
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Farringdon, East Devon, Devon, England, GBR
In-Office
Senior level
Information Technology • Legal Tech • Professional Services • Analytics • Business Intelligence
The Role
As a Principal Data Scientist, you'll develop agentic systems, fine-tune large language models, and enhance workflows in IP applications. You'll mentor junior scientists while collaborating closely with product and engineering teams.
Summary Generated by Built In

    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?

About Our Team:

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.

About The Role:   

 

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 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.

                            

Key Responsibilities:

  • 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 SageMaker 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. 

 Requirements:

  • 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., PyTorch) 

  • Strong problem-solving, analytical, and communication skills. 

  • Demonstrated ability to work collaboratively with engineering and product stakeholders in an agile environment. 

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.

Work in a way that works for you
 

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.

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.

  • 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 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 endeavours 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. Our overall success is measured by how well we deliver these results.

We are committed to providing a fair and accessible hiring process. 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.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

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.

USA Job Seekers:

EEO Know Your Rights.

Skills Required

  • PhD in AI, Computer Science, Mathematics or 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
  • Proficiency in deep learning frameworks, specifically PyTorch
  • Strong problem-solving, analytical, and communication skills
  • Demonstrated ability to work collaboratively in an agile environment

LexisNexis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about LexisNexis and has not been reviewed or approved by LexisNexis.

  • Healthcare Strength Healthcare options are often described as comprehensive, spanning medical, dental, and vision coverage alongside life and disability protection. Wellbeing programming such as wellness initiatives and fitness support is also positioned as part of the overall package.
  • Retirement Support Retirement benefits are repeatedly framed as a meaningful component of total rewards through 401(k) matching and access to stock purchase opportunities. Performance bonuses and charitable matching are also included as financial-support features within the broader rewards mix.
  • Leave & Time Off Breadth Time-off offerings are portrayed as broad, including PTO, paid holidays, sick leave, and paid volunteer time. Flexible work arrangements, including remote options and flexible hours, further strengthen the overall rewards experience.

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The Company
HQ: New York City, NY
10,001 Employees
Year Founded: 1970

What We Do

LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets, monitoring their brands and competition, and in mitigating business risk. We collaborate with universities to educate students, and we support nation-building with governments and courts by making laws accessible and strengthening legal infrastructures. We partner with leading global associations and customers to collect evidence against war criminals and provide tools to combat human trafficking. LexisNexis Legal & Professional, which serves customers in more than 130 countries with 10,000 employees worldwide, is part of RELX Group, a global provider of information and analytics for professional and business customers across industries.

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