Data Scientist – Data & Analytics Products

Were 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 youll develop new predictive capabilities while working with real-world datasets used in live decisioning environments reporting into our Head of Categorisation. Alongside this youll play an important role in maintaining and improving the performance reliability and quality of our production data outputs.

While youll 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 Youll 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. Experians people first approach is award-winning; Worlds 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 Experians 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.

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Remote Work :

No

Employment Type :

Full-time