Senior Data Scientist

Senior Data Scientist – Insurance Analytics About the Business

Lexis Nexis Risk Solutions is the essential partner for risk assessment. Within our Insurance business, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our solutions help drive better data‑driven decisions across the insurance lifecycle, all while reducing risk and optimising processes.

You will join a collaborative team of technical specialists who support data science initiatives across the UK, Ireland, and Europe. The team works closely with colleagues in Technology, Product, Account Management, Project Management, Marketing, Finance, and Legal to improve products and support data‑informed decision‑making.

This role is suited to an experienced data professional who enjoys working across a variety of projects. You will apply data science and analytics techniques to real‑world business challenges, contribute to new and existing products, and communicate insights clearly to a wide range of audiences.

We welcome candidates from diverse backgrounds and career paths who meet most—but not necessarily all—of the criteria below.

• 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

• Professional experience in data science, analytics, or a related field
• Strong experience working with data, including extracting, cleaning, and transforming structured and semi‑structured data
• Proficiency in SQL and in at least one programming language such as Python or R
• Experience or interest in scalable data processing (e.g. distributed or cloud‑based systems)
• Understanding of data quality, integrity, and maintainable code practices
• Familiarity with version control and collaborative development practices
• Ability to communicate complex ideas clearly in writing and verbally
• Experience working in regulated or commercial environments is helpful but not required
• A degree or equivalent practical experience in a quantitative, technical, or analytical field
• Advanced degrees and formal certifications are valued but not essential

• Private medical benefits
• Wellbeing programs
• Life assurance
• Group income protection
• Access to a competitive contributory pension scheme
• Employee Assistance Programme
• 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

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.