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Policy Expert Tech Stack
UK insurance provider scaling ML and pricing analytics across home, car, and pet lines
Policy Expert operates a data and ML-heavy insurance platform serving 1.5M UK customers across home, car, and pet lines. The tech stack reveals a deliberate shift toward cloud-native analytics: heavy GCP adoption (Vertex AI, BigQuery, Dataflow, Cloud Composer) paired with Python and dbt, while actively migrating from AWS and Looker. The hiring profile is data-dominant (19 open data roles vs. 3 engineering), and the active project list—counter-fraud models, pricing engines, CLTV analysis, MLOps infrastructure—signals an organization building internal ML capabilities at scale, not just buying third-party scoring.
Tech Stack 34 technologies
Core StackPython Windows Server Active Directory Azure AD Intune Vertex AI Terraform GitHub Actions BigQuery Docker Looker Power BI dbt Microsoft Purview Microsoft 365 SQL Windows WSUS OneDrive SharePoint PowerShell Azure Cloud Run Cloud Build Dataflow Cloud Composer Pub/Sub GCP Microsoft Office R+1 more
What Policy Expert Is Building
◆Challenges
- Optimising data processing and orchestration
- Protecting infrastructure from security threats
- People metrics analysis
- Model accuracy and reliability
- Underperforming models
- Scaling pricing team
- Balancing volume price contribution
- Optimizing trading performance
- Maintaining strategic partnerships with pcws
- Improving pricing strategies
▲Active Projects
- Advanced analytics and machine learning initiatives
- Cltv and price sensitivity models
- Next-generation ml platform
- Counter-fraud data product
- Underwriting data product
- Pricing data product
- Mlops frameworks and sdks
- End-to-end ml pipelines
- Advanced risk model development
- Radar model development and improvements
Hiring Activity
35 roles · 20 in 30d
Department
Seniority
Company intelligence
