Alexander Scott

I’m a data specialist with a career rooted in the insurance sector, where I’ve led and supported transformation projects that help insurers keep pace with emerging technologies. My work spans data engineering, analytics, and modelling — with a focus on modernizing legacy systems and delivering business-ready insights.

Over the years, I’ve played a key role in data transformation initiatives, automating and migrating everything from raw ingestion pipelines to cloud-native infrastructure. I’ve collaborated with external consultants and platform teams, particularly within Azure and Databricks environments, to build scalable ETL workflows and integrate advanced analytics into operational systems.

My modelling experience includes transitioning insurers from traditional GLMs to more adaptive GBMs and uplift models. I’ve supported model monitoring, retraining, and performance tracking, ensuring outputs remain accurate, interpretable, and aligned with commercial goals. I regularly present model results and dashboards to stakeholders — translating technical outputs into actionable insights for underwriters, actuaries, and executives.

Functionally, I operate as a bridge between pricing, underwriting, modelling, and deployment — connecting the dots from data science to MI/BI production. I understand the nuances of insurance workflows and the importance of aligning technical delivery with business strategy. Whether it’s building override-ready pricing engines or supporting governance reviews, I bring clarity and structure to complex data environments.

My role often involves integrating modern machine learning outputs into legacy systems — ensuring seamless handoff between innovation and operational stability.

Looking ahead, I’m eager to apply these skills in new markets and domains. I believe the principles of transparent modelling, scalable data architecture, and stakeholder-focused analytics are universally valuable — and I’m excited to explore opportunities where I can drive impact through data.