Analytics Engineer: Build ML-Driven Health Insights

Bupa

Melbourne

On-site

AUD 120,000 - 170,000

Full time

3 days ago

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Job summary

Bupa is seeking an Analytics Engineer to drive the delivery and productionisation of Data Science and analytics projects that improve health insurance customer outcomes. You will work with the data program and data technology teams to migrate to a new Azure data platform and implement MLOps for propensity models that support personalized customer campaigns.

Collaborating with the Customer Insights and Decision Science teams, you will develop and manage data assets, pipelines and features to

Qualifications

3+ years of business experience in customer analytics / data science / data engineering or similar field.
Engineering using cloud first approaches.
Data processing frameworks.
Modern data management practices.
Agile working rhythms.
Automation & Efficiency.
Qualified in a quantitative discipline (Statistics, Engineering, Physics, Mathematics, Econometrics, Computer Science, Machine Learning or related field).
Programming Language Skills.
SQL/TSQL (Mandatory).
Python (Preferred).

Responsibilities

Understand detailed data requirements with business stakeholders and analytics teams.
Engineer data pipelines from ingestion to consumption (reports, dashboards, models, APIs).
Develop data features for advanced analytics and ensure reusability via feature store.
Monitor data quality and data processes to minimize risk.
Adhere to Bupa designs, standards and guidelines.