About this role
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 expand 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 decisioningExplore and extract insights from structured, unstructured, and geospatial datasets to unlock new data valueImprove existing features and models, identifying opportunities to enhance performance and predictive powerLead the quality and performance of production data outputs, ensuring accuracy, reliability, and consistency across API and flat-file deliveryMonitor and improve data pipelines and feature performance, identifying issues and opportunities for automationAnalyse and improve the completeness and integrity of the underlying data estate, driving remediation where neededUse generative AI tools to improve workflows, accelerate analysis, and enhance product development processesWork cross-functionally with product, engineering, and commercial teams to translate data insights into product improvements and innovationSupport client-facing teams by explaining data behaviour, feature logic, and modelling outputs where neededDocument methodologies, assumptions, and transformations to ensure transparency, reproducibility, and knowledge sharing Experience in R (preferred) or Python for data analysis, modelling, and feature developmentSQL skills and an understanding of relational databasesExperience working with large datasets, including property, geospatial, or risk-related dataUnderstanding of statistical modelling, feature engineering, and machine learning techniquesExperience 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 roleBackground in insurance, risk, credit, or other regulated / data-rich industries is advantageousAnalytical mindsetFocus on data quality in production environmentsComfortable balancing innovation (modelling, feature development) with operational ownership (data delivery, pipelines) Hybrid working, 2 days a week in our Glasgow officeGreat compensation package and discretionary bonusCore benefits include pension, bupa healthcare, sharesave scheme and more25 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 is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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#LI-Hybrid
This is a hybrid remote/in-office role.
Experian Careers - Creating a better tomorrow together
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