Analytics Engineer — Data Pipelines & ML Ops for Health
Summary
Analytics Engineer at Bupa Australia delivering and productionising data science and analytics projects that improve health insurance outcomes. The role involves migrating to a new Azure-based data platform, building an MLOps framework for propensity models, and creating scalable, reusable data assets and pipelines.
Bupa Analytics Engineer is responsible for delivering and productionising Data Science and Analytics projects that improve health insurance outcomes. You will migrate to a new Azure-based data platform, implement an MLOps framework for propensity models, and support insights development with scalable data assets.
Work with stakeholders to translate requirements into data-driven approaches, and collaborate with data program and technology teams to ensure robust pipelines and reusable data