The national health services company is looking to improve access, affordability, and outcomes for millions of people by optimizing pricing using data, technology, and clinical expertise.
Requirements
- Databricks (Spark)
- GCP
- Angular
- Price optimization, elasticity modeling
- Financial analysis including P&L and contribution margin
- Scenario modeling, systems thinking, market awareness
Responsibilities
- FIT Platform Ownership: Serve as the technical and analytical owner of the FIT model; success means reliable performance and continuous improvement.
- Price Optimization Modeling: Build and refine pricing algorithms, elasticity models, and optimization scenarios; success is measurable financial impact and accuracy of projections.
- Data Engineering & Pipelines: Develop scalable data pipelines using Databricks and GCP; success is efficient processing of large datasets supporting pricing logic.
- Front-End Collaboration: Work with engineers on Angular-based UI enhancements; success is intuitive and performant user interfaces.
- Financial Translation: Convert pricing outputs into full P&L scenarios and business cases; success is clear, actionable insights for leadership.
Other
- Education: Bachelor’s or Master’s in Data Science, Computer Science, Economics, Finance, or related field.
- Experience: 6+ years in data science, pricing analytics, or financial modeling roles.
- Ability to work independently and design long-term scalable systems.
- Strong familiarity with financial services and healthcare markets
- Travel is not mentioned, but the job is fully remote with flexible scheduling.
