My client is looking for a Data Science Analyst to support insurance analytics teams across the UKI & EU business. This role focuses on supporting and developing data-driven products used in pricing, underwriting, fraud detection, and claims decisioning.
You will work closely with data science, engineering, product, and business stakeholders to improve existing analytics solutions, build new capabilities, and translate complex data into actionable insights. This is a 12-month contract role based in Dublin, Ireland.
Key Responsibilities
-
Act as a data science and analytics specialist across multiple projects
-
Support the development and enhancement of data-driven insurance products
-
Build and maintain data processing and analytics workflows (ETL)
-
Collaborate with product, technology, and data engineering teams to deliver project objectives
-
Translate analytical outputs into clear, concise insights for business stakeholders
-
Provide regular project updates and present work when required
-
Support project planning, requirements definition, and execution
-
Contribute to shared team deliverables and support colleagues as needed
Required Skills & Experience
-
Degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field (or equivalent experience)
-
Minimum of 3 years' relevant professional experience (MSc/PhD time can count)
-
Strong SQL skills and experience working with large datasets
-
Proficiency in Python or R for data analysis and analytics development
-
Solid understanding of data processing concepts (extraction, cleaning, transformation, multiple data formats)
-
Experience building data pipelines with automated testing
-
Ability to write clean, maintainable, and well-tested code
-
Strong attention to data quality, consistency, and detail
-
Comfortable working across multiple projects in a collaborative environment
-
Strong communication skills and ability to explain analytical results clearly
-
Experience using Git and following coding and documentation best practices
Preferred Skills
-
Experience working with insurance data (pricing, underwriting, fraud, or claims)
-
Exposure to Azure ML or cloud-based analytics platforms
-
Experience with Azure Blob Storage and Azure Data Lake Gen2
-
Hands-on experience using Databricks for large-scale data processing
-
Basic understanding of insurance data models
-
Familiarity with Linux environments
-
Experience with BI and visualisation tools such as Power BI or R Shiny
