Are you excited by solving complex data challenges, collaborating across teams, and turning ideas into production-ready products?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, 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 insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle, all while reducing risk. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/insurance.
About the Role
As part of our team, you will work as a data science expert across a range of projects, helping to design, build, and deliver scalable analytical products. This role offers the opportunity to combine data engineering, statistical analysis, and machine learning to solve complex insurance challenges, while working closely with technology, product, and data engineering teams.
Responsibilities
- Design and develop new products covering data processing, statistical analysis, and machine learning
- Explore and evaluate new datasets, identify high-value use cases, and apply appropriate analytical and machine learning techniques
- Build scalable, production-ready solutions in partnership with technology, product, and data engineering teams
- Communicate complex analytical outcomes clearly to technical and non-technical audiences to demonstrate product value
- Provide regular internal status updates and present project work externally where required
- Contribute to project planning, including requirements definition, timelines, and execution plans
- Support the development of analytics infrastructure, including testing processes and cloud best practices to enable smooth migration
- Mentor and oversee team members in the delivery of project work
- Travel occasionally between the UK and Ireland for meetings or workshops, where required
Requirements
- Strong experience delivering data science, analytics, or machine learning solutions in a professional environment
- You may have a degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science) or equivalent practical experience delivering data science solutions in industry.”
- Strong data processing expertise, including extraction, cleaning, parsing, and working with formats such as Avro, Parquet, JSON, XML, and relational databases
- Strong SQL skills and Python or R
- Experience building data pipelines with automated testing and writing clean, maintainable, and well-tested code
- Strong understanding of data integrity, consistency, and quality
- Excellent collaboration, mentoring, written, and verbal communication skills, including the ability to explain complex topics clearly
- Familiarity with coding best practices, documentation standards, Git-based version control, and Linux environments
- Experience with insurance data or modelling, Azure ML and Azure data storage services, Databricks, Apache Spark, distributed computing, and BI or visualisation tools such as Power BI or R Shiny is welcomed
Risk benefit statement
Learn more about the LexisNexis Risk team and how we work here


Primary Location Base Pay Range: Ireland - Dublin (Rockfield Central) €68,400 - €114,000. 





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