Principal Data Scientist: Generative AI for Insurance

Women in Data®; Dublin; On-site; EUR 75,000 - 126,000; Full time

Job summary

LexisNexis Risk Solutions Ireland is seeking a Principal Data Scientist to lead high-impact data science work in insurance, spanning predictive modelling, Generative AI exploration, and cloud native architectures. You will influence product roadmaps, mentor engineers, and collaborate with cross-functional teams across the UK and EU to deliver data-driven decisions.

The role requires deep expertise in Python, SQL, ML pipelines, and experience with Azure ML, Spark, Databricks, and model

Qualifications

• Degree in Mathematics, Statistics, Physics, Computer Science or a related quantitative field; advanced degree preferred.
• 8+ years of experience in data science or a related field (MSc/PhD time can be weighted towards experience).
• Strong programming skills in Python or R (Python preferred), with some experience in Azure ML Flow and/or Apache Spark and distributed computing.
• 3+ years of industry experience with mathematical modelling, building predictive models and implementing them into a production environment.
• Expertise in data processing, including extraction, cleaning, transformation, and handling diverse formats (e.g., Avro, Parquet, JSON, XML).
• Experience building robust, testable data pipelines and writing clean, maintainable code according to software engineering best practices.
• Strong SQL skills and familiarity with relational and non-relational databases.
• Proven ability to interpret, report and present data with a focus on consistency, integrity, and business value.
• Excellent communication skills, with the ability to present findings to varied audiences.
• Experience mentoring others and leading technical workstreams.
• Experience with version control (Git), documentation standards, and collaborative development practices.
• MLOps; Azure ML/storage; Azure architecture; Databricks; Linux; BI tools; insurance exposure; model governance/explainability/ethical AI.

Responsibilities

• Taking a proactive approach to explore Generative AI or machine learning product solutions and their application for the local business.
• Proactively exploring other AI solutions to identify viability in enhancing current work.
• Act as a data science expert, contributing to and guiding multiple projects across domains.
• Support cloud migration, collaborating with technology teams to align analytics infrastructure with long-term goals.
• Develop pipelines and data workflows to feed additional products and insights.
• Design, test, and document best practices for data science in the cloud for operational excellence.
• Develop and prototype innovative solutions through our infrastructure to improve accuracy and productivity.
• Lead benchmarking and share insights on unique data held by the business.
• Build predictive models for insurance pricing, underwriting, claims, and fraud with embedding layers.
• Build and deploy new data products, including ETL pipelines and statistical models, with technology teams.
• Work with technology partners to improve end-to-end ML workflows from data ingestion to deployment and monitoring.
• Collaborate with product, technology, and data engineering to align priorities and vision.
• Communicate complex analytical results clearly to technical and non-technical audiences.
• Develop solutions using open-source tools and proprietary platforms.
• Present project updates internally and externally as requested.
• Help define project requirements, timelines, and execution plans with cross-functional teams.
• Mentor team members and contribute to technical excellence and continuous learning.

Skills

Python

R

SQL

Communication skills

Education

MSc/PhD preferred

Bachelor's in quantitative field

Tools

Azure ML Flow

Apache Spark

Databricks

Git

Job description

LexisNexis Risk Solutions Ireland is seeking a Principal Data Scientist to lead high-impact data science work in insurance, spanning predictive modelling, Generative AI exploration, and cloud native architectures. You will influence product roadmaps, mentor engineers, and collaborate with cross-functional teams across the UK and EU to deliver data-driven decisions.

The role requires deep expertise in Python, SQL, ML pipelines, and experience with Azure ML, Spark, Databricks, and model