# Principal Data Scientist

**Company**: LexisNexis Risk Solutions
**Location**: Dublin
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: €75,300 - €125,600
**Category**: Data Science
**Industry**: Insurance

**Apply**: https://relx.wd3.myworkdayjobs.com/en-US/RiskSolutions/job/Dublin/Principal-Data-Scientist_R118247-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a2316c0c-5db

## Description

As a Principal Data Scientist, you will be an individual contributor and senior technical leader supporting multiple teams, driving innovation in data science, infrastructure, and product development.

You will play a strategic role in shaping our advanced product roadmap, building scalable ML workflows, and collaborating across disciplines to deliver data-driven solutions that support our business goals.

Responsibilities:

- Explore Generative AI or machine learning product solutions developed by US colleagues and apply them to the local business.

- Proactively explore other AI solutions to identify and assess their viability in enhancing current operations.

- Act as a data science expert, contributing to and guiding multiple projects across domains.

- Support cloud migration, collaborating with technology teams to ensure analytics infrastructure aligns with long-term goals.

- Develop and prototype innovative solutions through infrastructure to improve accuracy, efficiency, and productivity.

- Build Predictive models for the insurance industry to test products and add embedding layers for enhanced predictive capabilities.

- Build and deploy new data products, including ETL pipelines and statistical models, in collaboration with technology teams.

- Collaborate with stakeholders across product, technology, and data engineering to align priorities and vision.

- Communicate complex analytical results clearly and effectively to both technical and non-technical audiences.

- Mentor team members and contribute to a culture of technical excellence and continuous learning.

Requirements:

- 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.

- Strong programming skills in Python or R, with 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.

- Experience building robust, testable data pipelines and writing clean, maintainable code.

- 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.

## Skills

### Required
- Python
- R
- Azure ML Flow
- Apache Spark
- SQL
- Git
- MLOps
- Azure ML/storage
- Databricks
- Linux
- BI tools

### Nice to have
- insurance exposure
- model governance/explainability/ethical AI
- Spanish

---

Source: [Apply at relx.wd3.myworkdayjobs.com](https://relx.wd3.myworkdayjobs.com/en-US/RiskSolutions/job/Dublin/Principal-Data-Scientist_R118247-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)