Principal Data Scientist — AI-Driven Insurance Solutions

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

Job summary

LexisNexis Risk Solutions, Ireland (Dublin) is seeking a Principal Data Scientist to lead high-impact data science workstreams in insurance. You will build scalable ML workflows, prototype new solutions, mentor teammates, and collaborate with cross-functional partners to align roadmaps with business goals.

The role emphasizes Generative AI exploration, cloud infrastructure, model deployment and monitoring, with a focus on pricing, underwriting, claims and fraud detection.

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.

Responsibilities

• Taking a proactive approach to explore Generative AI or ML product solutions.
• Proactively exploring other AI solutions to identify viability in the local business.
• Act as a data science expert, contributing to and guiding multiple projects across domains.

Skills

Programming in Python or R

SQL

Communication

Mentoring/leadership

Education

Quantitative degree

Advanced degree preferred

Tools

Azure ML Flow

Apache Spark

Git

Job description

LexisNexis Risk Solutions, Ireland (Dublin) is seeking a Principal Data Scientist to lead high-impact data science workstreams in insurance. You will build scalable ML workflows, prototype new solutions, mentor teammates, and collaborate with cross-functional partners to align roadmaps with business goals.

The role emphasizes Generative AI exploration, cloud infrastructure, model deployment and monitoring, with a focus on pricing, underwriting, claims and fraud detection.