Principal Data Scientist

RELX INC; Dublin; On-site; EUR 75,000 - 126,000; Full time

Job summary

RELX INC in Dublin, Ireland, is seeking a Principal Data Scientist to lead advanced data science, ML, and Generative AI initiatives across insurance products, building scalable data platforms and predictive models. You will act as a senior technical leader, guiding multiple teams and shaping the analytics roadmap.

You will mentor teams, drive cross‑functional collaboration with product, technology, and data engineering, and shape the roadmap for analytics infrastructure in the cloud.

Qualifications

• Requires degree in a quantitative field; advanced degree preferred.
• 8+ years in data science with production modeling experience.
• Strong coding in Python or R with cloud/distributed tech exposure.
• Proven ability to build robust data pipelines and models.

Responsibilities

• Lead multiple projects across domains as data science expert.
• Develop and prototype scalable ML workflows and data products.
• Support cloud migration and analytics infrastructure alignment.
• Build predictive models for insurance, including embeddings.
• Mentor team members and drive technical excellence.

Skills

Python

R

Azure ML Flow

Apache Spark

Distributed computing

SQL

Git

MLOps

Databricks

Linux

BI tools

Model governance/Explainability

Ethical AI

Education

Degree in Mathematics/Statistics/Physics/CS

Advanced degree preferred

Tools

Azure ML

Azure architecture

Databricks

Linux

Job description

Dublin

Full time

R

Principal Data Scientist

Are you passionate about applying data science, machine learning, and Generative AI to solve complex insurance challenges? Do you enjoy building innovative data products and collaborating with cross‑functional teams to deliver impactful, data‑driven solutions?

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 our Team

About the role

As a Principal Data Scientist, you will be an individual contributor but also serve as a senior technical leader supporting multiple teams, flexing across high‑impact projects and 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. You will demonstrate high engagement both with other Data Scientists and less technical stakeholders, proactively seeking alignment on priorities. You will also demonstrate the ability to be proactive and push project information and updates, as well as sharing updates on market innovation at a level that is easy to ingest.

Responsibilities

• Taking a proactive approach to explore any Generative AI or machine learning product solutions (or efficiencies) developed by our US colleagues and exploring their application for the local business.
• Proactively exploring other AI solutions to identify and explore their viability in enhancing what we do today.
• Act as a data science expert, contributing to and guiding multiple projects across domains.
• Support our cloud migration, collaborating with technology teams to ensure analytics infrastructure aligns with long‑term goals.
• Taking large quantities of data (mostly structured, some unstructured) putting additional workflows on top of that data, which will feed additional products and gather additional insights.
• Support the design, testing, and documentation of best practices for data science in the cloud to ensure a smooth transition and operational excellence.
• Develop and prototype innovative solutions through our infrastructure to improve accuracy, efficiency, and productivity.
• Supporting large scale benchmarking opportunities and sharing valuable insights on the unique data we hold.
• Building Predictive models for the insurance industry to test our products (claim frequency and severity) and adding embedding layers for enhanced predictive capabilities.
• Build and deploy new data products, including ETL pipelines and statistical models, in collaboration with our technology teams.
• Work with our technology partners to help improve and implement end‑to‑end ML workflows, from data ingestion to model deployment and monitoring.
• 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.
• Develop solutions using both open‑source tools and proprietary platforms.
• Present project updates internally and externally, as requested.
• Help define project requirements, timelines, and execution plans in collaboration with cross‑functional teams.
• 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 (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.

Learn more about the LexisNexis Risk team and how we work here ( Location Base Pay Range: Ireland - Dublin (Rockfield Central) 75,300 - 125,600.

We know your well‑being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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RELX is a global provider of information‑based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.

Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.

Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.