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

Working for you:

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
-Private medical benefits
-Wellbeing programs
-Life assurance
-Group income protection
-Access to a competitive contributory pension scheme
-Employee Assistance Programme
-RECARES days, giving you time to support the charities and causes that matter to you
-Access to employee resource groups with dedicated time to volunteer
-Access to extensive learning and development resources

Senior Data Scientist III (FTE)

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/Role 
You will join technical experts with insurance industry knowledge, and work with and support data science teams supporting the UKI & EU business. The team helps maintain current product offerings, support the build out of new products as well as support internal decision making through advanced data science techniques. 

Our product offerings support our customers decision making, around pricing, underwriting and detecting fraud risk. We are also currently expanding our product suite to include products for use at point of claim. We are focused on building out new products for use at the point of claim and expanding our breath of vehicle data offerings. 

Our team works and collaborates with all business units across the organisation including Technology, Product, Account Management, Project Managers, Marketing, Finance and Legal.  

 The ideal candidate will have a blend of Data Science expertise, knowledge of Cloud infrastructure and process migration, a good understanding of the insurance market (in particular, pricing and underwriting practices) as well as exemplary communication skills who will work well within a strong team.

Location: Ireland/UK

What you will be doing  

Working as a Data Science expert in the team, flexing across different projects as needed

Designing and developing new products, covering data processing (ETL), statistical analysis, and machine learning

Exploring and understanding new datasets, identifying optimal use cases, and applying appropriate analytical and ML techniques

Collaborating closely with technology, product, and data engineering teams to deliver scalable, production-ready solutions

Travelling periodically between Ireland and the UK for internal and external meetings and workshops (project-dependent, not constant)

Communicating complex analytical results clearly and effectively to demonstrate product value to both technical and non-technical audiences

Providing regular status updates internally and presenting project work externally where required

Contributing to project planning, including requirements definition, timelines, and execution plans

Supporting the development of analytics infrastructure in collaboration with technology teams, including testing processes and cloud best practices to enable smooth migration

Developing solutions using a mix of open-source tools and proprietary technologies

Mentoring and overseeing team members in the execution of project tasks

Required Experience 

Degree in Computer Science, Mathematics, Statistics, or a related quantitative field (or equivalent experience); advanced degree preferred

Minimum of 7 years’ relevant professional experience (time spent completing an MSc or PhD can count toward this)

Highly organised, self-motivated, and able to work flexibly across projects and teams

Strong collaboration skills and experience leading or mentoring others

Strong data processing expertise, including extraction, cleaning, parsing, and working with multiple data formats (e.g. Avro, Parquet, JSON, XML, relational databases)

Strong SQL skills (or equivalent)

High proficiency in Python or R; experience with Apache Spark and distributed computing frameworks highly desirable

British or Irish citizenship and willingness to travel periodically between the UK and Ireland

Experience building data pipelines with automated testing

Strong understanding of data integrity, consistency, and quality

Proven ability to write clean, maintainable, and well-tested code

Excellent written and verbal communication skills, with the ability to present complex topics clearly

Familiarity with coding best practices, documentation standards, and Git-based version control

Preferred Experience 

Hands-on experience working with insurance data and insurance modelling

Experience with Azure ML and Azure data storage services (e.g. Azure Blob Storage, Azure Data Lake Gen2)

Understanding of wider Azure architecture and ability to collaborate effectively with architects, data engineers, and technology teams

Experience using Databricks for large-scale data processing

Familiarity with Linux environments

Experience with BI and visualisation tools such as Power BI, R Shiny, or equivalent

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

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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Senior Data Scientist

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