Senior Data Scientist – Insurance Analytics

About the Business 

LexisNexis Risk Solutions is the essential partner for risk assessment. Within our Insurance business, 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 solutions help drive better data-driven decisions across the insurance lifecycle, all while reducing risk and optimising processes. You can learn more about LexisNexis Risk at the link below. 

 https://risk.lexisnexis.com/insurance 

About the Team:

You will join a collaborative team of technical specialists who support data science initiatives across the UK, Ireland, and Europe. The team works closely with colleagues in Technology, Product, Account Management, Project Management, Marketing, Finance, and Legal to improve products and support data‑informed decision‑making.

About the Role:

This role is suited to an experienced data professional who enjoys working across a variety of projects. You will apply data science and analytics techniques to real‑world business challenges, contribute to new and existing products, and communicate insights clearly to a wide range of audiences.

We welcome candidates from diverse backgrounds and career paths who meet most—but not necessarily all—of the criteria below.

Responsibilities

Contribute to data science projects across multiple business areas
Design and build analytical solutions, including data processing, statistical analysis, and machine learning
Explore new datasets and identify practical, high‑value use cases
Work collaboratively with technology, product, and data engineering teams to deliver reliable, production‑ready solutions
Communicate analytical findings clearly to both technical and non‑technical stakeholders
Support project planning, including requirements, timelines, and delivery
Help improve analytics platforms and cloud‑based workflows, including testing and migration activities
Use a combination of open‑source and proprietary tools to develop solutions
Share knowledge and support the development of colleagues through mentoring and collaboration
Travel occasionally between the UK and Ireland for meetings or workshops, where required

Skills and Experience

Professional experience in data science, analytics, or a related field
Strong experience working with data, including extracting, cleaning, and transforming structured and semi‑structured data
Proficiency in SQL and in at least one programming language such as Python or R
Experience or interest in scalable data processing (e.g. distributed or cloud‑based systems)
Understanding of data quality, integrity, and maintainable code practices
Familiarity with version control and collaborative development practices
Ability to communicate complex ideas clearly in writing and verbally
Experience working in regulated or commercial environments is helpful but not required

A degree or equivalent practical experience in a quantitative, technical, or analytical field
Advanced degrees and formal certifications are valued but not essential

Learn more about the LexisNexis Risk team and how we work here

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Senior Data Scientist

Benefits

Job Description