Data Scientist – Data & Analytics Products

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

We're looking for a Data Scientist to join our Data Science team, working on a data and analytics product that supports insurers with property risk and pricing decisions.

This is a hands-on role with a strong focus on modelling and feature innovation, where you'll develop new predictive capabilities while working with real-world datasets used in live decisioning environments reporting into our Head of Categorisation. Alongside this, you'll play an important role in maintaining and improving the performance, reliability, and quality of our production data outputs.

While you'll initially focus on an insurance-focused product, this role will over time, offering the opportunity to contribute to new products and data services across other domains such as credit risk and affordability.

What You'll Do:

Develop predictive features and models, applying statistical and machine learning techniques to support risk assessment, pricing, and decisioning

Explore and extract insights from structured, unstructured, and geospatial datasets to unlock new data value

Improve existing features and models, identifying opportunities to enhance performance and predictive power

Lead the quality and performance of production data outputs, ensuring accuracy, reliability, and consistency across API and flat-file delivery

Monitor and improve data pipelines and feature performance, identifying issues and opportunities for automation

Analyse and improve the completeness and integrity of the underlying data estate, driving remediation where needed

Use generative AI tools to improve workflows, accelerate analysis, and enhance product development processes

Work cross-functionally with product, engineering, and commercial teams to translate data insights into product improvements and innovation

Support client-facing teams by explaining data behaviour, feature logic, and modelling outputs where needed

Document methodologies, assumptions, and transformations to ensure transparency, reproducibility, and knowledge sharing

Qualifications

Experience in R (preferred) or Python for data analysis, modelling, and feature development

SQL skills and an understanding of relational databases

Experience working with large datasets, including property, geospatial, or risk-related data

Understanding of statistical modelling, feature engineering, and machine learning techniques

Experience building and maintaining data pipelines (data cleaning, validation, transformation)

Comfortable working with APIs, flat-file delivery, and version-controlled codebases (e.g., Git)

Familiarity with geospatial data (e.g., spatial joins, shapefiles, geocoding) and/or cloud environments (AWS/Azure)

Commercial experience in a data science or advanced analytics role

Background in insurance, risk, credit, or other regulated / data-rich industries is advantageous

Analytical mindset

Focus on data quality in production environments

Comfortable balancing innovation (modelling, feature development) with operational ownership (data delivery, pipelines)

Additional Information

Hybrid working, 2 days a week in our Glasgow office

Great compensation package and discretionary bonus

Core benefits include pension, bupa healthcare, sharesave scheme and more

25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave.

We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

#LI-Hybrid

This is a hybrid remote/in-office role.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here