Senior Data Scientist
RELXDublin, Ireland ⢠London, England, United Kingdom
Posted February 26, 2026
Full Time
About the Company
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs more than 36,000 people over 40% of whom are in North America. ____ Please note that RELX does not contact people through social media to extend job or contract offers, nor do we request money, credit card details or bank account information as part of any project or job application process. Any such request is fraudulent. Please contact your local law enforcement agency if you have been victimized by a scammer. For careers, access https://www.relx.com/careers/why-relx
Job Description
Senior Data Scientist position available at LexisNexis Risk Solutions, working on insurance analytics projects, collaborating with technical teams, and applying data science and analytics techniques to real-world business challenges.
Requirements
- Contribute to data science projects across multiple business areas
- Design and build analytical solutions, including data processing, statistical analysis, and machine learning
- Explore new datasets and identify practical, high-value use cases
- Work collaboratively with technology, product, and data engineering teams to deliver reliable, production-ready solutions
- Communicate analytical findings clearly to both technical and non-technical stakeholders
- Support project planning, including requirements, timelines, and delivery
- Help improve analytics platforms and cloud-based workflows, including testing and migration activities
- Use a combination of open-source and proprietary tools to develop solutions
- Share knowledge and support the development of colleagues through mentoring and collaboration
- Travel occasionally between the UK and Ireland for meetings or workshops, where required
Benefits
- Private medical benefits
- Wellbeing programs
- Life assurance
- Group income protection
- Access to a competitive contributory pension scheme
- Employee Assistance Programme
- RECARES days
- Access to employee resource groups with dedicated time to volunteer
- Access to extensive learning and development resources
