National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Principal Data Scientist

RELX
Greater London
2 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist - AI (Basé à London)

Principal Data Scientist - Gram Games (Basé à London)

Join to apply for thePrincipal Data Scientistrole atRELX

2 weeks ago Be among the first 25 applicants

Join to apply for thePrincipal Data Scientistrole atRELX

Are you looking to develop your Data Scientist career?

Would you like to be part of a team that innovates using technology?

About Our Team

At LexisNexis Intellectual Property Solutions, our mission is to bring clarity to innovation by delivering better outcomes to the innovation community. Each and every day, the work our team does supports the development of new technologies and processes that ultimately advance humanity. Helping our customers reach their goals is our primary focus. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations and ultimately achieve superior results. Our overall success is measured by how well we deliver these results.We are proud to directly support and serve these innovators in their endeavors to better humankind.

About The Role

As a Principal Data Scientist, you will be a key member of the LNIP Technology Team. Your primary responsibility will be to drive the strategic vision of Data Science and Machine Learning initiatives across the organization, ensuring alignment with organizational goals. You will lead development teams in research, design, and software development projects, providing direct input to plans, schedules, and methodologies

Responsibilities

  • Lead the development and implementation of advanced data analytics and machine learning models to solve complex business problems.
  • Collaborate with cross-functional teams to identify data-driven opportunities and provide actionable insights.
  • Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.
  • Design and execute experiments to validate hypotheses and optimize model performance.
  • Communicate findings and recommendations to stakeholders through clear and compelling data visualizations and presentations.
  • Stay up-to-date with the latest industry trends and technologies to ensure the team remains at the forefront of data science innovation.
  • Drive the adoption of best practices in data management, data governance, and data quality.
  • Develop and maintain scalable data pipelines and infrastructure to support analytics and machine learning initiatives.

Requirements

  • Demonstrated ability to apply Machine Learning, Natural Language Processing, Data Mining, and/or Statistical methods to build advanced data models, including predictive and prescriptive modelling.
  • Proficiency in training large-scale models using modern deep learning engines such as TensorFlow, Keras, PyTorch, MXNet, or Caffe.
  • Understanding of machine learning, natural language processing, and deep learning.
  • Experience with cloud-based AI services and platforms.
  • Knowledge of regulatory frameworks related to AI (e.g., GDPR, CCPA).
  • Experience as the SME in Data Science
  • Multiple years of experience managing larger technical teams (direct or indirect)

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 For You

We know that your wellbeing 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
  • LifeAssurance
  • 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 employee discounts scheme via Perks at Work

About The Business

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.

LexisNexis, a division of RELX, is 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. 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: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

Please read our Candidate Privacy Policy.Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesTechnology, Information and Media

Referrals increase your chances of interviewing at RELX by 2x

Sign in to set job alerts for “Data Scientist” roles.

Exeter, England, United Kingdom 1 week ago

Machine Learning Software Developer - (G07)

Exeter, England, United Kingdom 4 days ago

Exeter, England, United Kingdom 2 weeks ago

Exeter, England, United Kingdom 2 weeks ago

Farringdon, England, United Kingdom 1 week ago

Wellington, England, United Kingdom 5 days ago

Scientific Software Engineer - Data Systems

Exeter, England, United Kingdom 1 week ago

Exeter, England, United Kingdom 4 days ago

Poole, England, United Kingdom 3 months ago

Foundation Scientific Software Engineer - Data Systems

Exeter, England, United Kingdom 1 week ago

Exeter, England, United Kingdom 14 hours ago

Scientific Software Engineer - Data Systems

Exeter, England, United Kingdom 1 week ago

Full Stack Engineer (React/TypeScript/Node)Foundation Scientific Software Engineer - Data Systems

Wellington, England, United Kingdom 2 weeks ago

Exeter, England, United Kingdom 4 days ago

Exeter, England, United Kingdom 6 days ago

Exeter, England, United Kingdom 2 months ago

Exeter, England, United Kingdom 2 days ago

Exeter, England, United Kingdom 1 month ago

Preston, England, United Kingdom 2 weeks ago

Beer, England, United Kingdom 2 months ago

Exeter, England, United Kingdom 5 days ago

Shoreditch, England, United Kingdom 1 week ago

Exeter, England, United Kingdom 6 months ago

Exeter, England, United Kingdom 1 day ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.