Locations: Ireland - Dublin (Rockfield Central) UK - London (Bishopsgate)Hybrid -1 -2 days per week Ireland office Dublin will also consider UKSalary: 70,000 -90,000 euros and 10% bonusSenior Data Scientist – Insurance AnalyticsAbout the Business LexisNexis 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 can learn more about LexisNexis Risk at the link below.About the Team: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.About the Role: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.ResponsibilitiesContribute to data science projects across multiple business areasDesign and build analytical solutions, including data processing, statistical analysis, and machine learningExplore new datasets and identify practical, high‑value use casesWork collaboratively with technology, product, and data engineering teams to deliver reliable, production‑ready solutionsCommunicate analytical findings clearly to both technical and non‑technical stakeholdersSupport project planning, including requirements, timelines, and deliveryHelp improve analytics platforms and cloud‑based workflows, including testing and migration activitiesUse a combination of open‑source and proprietary tools to develop solutionsShare knowledge and support the development of colleagues through mentoring and collaborationTravel occasionally between the UK and Ireland for meetings or workshops, where requiredSkills and ExperienceProfessional experience in data science, analytics, or a related fieldStrong experience working with data, including extracting, cleaning, and transforming structured and semi‑structured dataProficiency in SQL and in at least one programming language such as Python or RExperience or interest in scalable data processing (e.g. distributed or cloud‑based systems)Understanding of data quality, integrity, and maintainable code practicesFamiliarity with version control and collaborative development practicesAbility to communicate complex ideas clearly in writing and verballyExperience working in regulated or commercial environments is helpful but not requiredA degree or equivalent practical experience in a quantitative, technical, or analytical fieldAdvanced degrees and formal certifications are valued but not essentialWorking 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:Private medical benefitsWellbeing programsLife assuranceGroup income protectionAccess to a competitive contributory pension schemeEmployee Assistance ProgrammeRECARES days, giving you time to support the charities and causes that matter to youAccess to employee resource groups with dedicated time to volunteerAccess to extensive learning and development resourcesWe know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.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 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.We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK – visit: to join our community.Stay connected Follow us on LinkedIn for updates on career opportunities and more.