AVP, Health Analytics Data Scientist

Aon; Atlanta (GA); Hybrid; USD 160,000 - 190,000; Full time

Job summary

Aon is seeking an Assistant Vice President, Health Analytics Data Scientist to lead causal inference and predictive modeling efforts across US health datasets. The role combines hands-on model development with rigorous documentation and delivery to clients and senior leaders.

Ideal candidates will have 7+ years in health insurance or benefits consulting, strong statistics background, and practical MLOps and model governance experience. Remote options may be considered for the right fit.

Qualifications

• Strong foundation in applied statistics and causal inference.
• Experience building and deploying tabular predictive models on large medical/claims datasets.
• Experience with MLOps, model governance, and production deployment workflows.

Responsibilities

• Develop and deliver causal inference and predictive modeling workstreams for health analytics; stay hands-on with models and code.
• Collaborate with ABS and engineering teams to align data pipelines and deployment standards across locations.
• Design, build, and tune tabular analyses and predictive models using gradient-boosted and other methods on large datasets.

Skills

Statistics

Causal Inference

Predictive Modeling

Python/R

SQL

MLOps

Model Governance

Education

Bachelor's degree in statistics/biostatistics/economics/data science

Master's degree preferred

Tools

Databricks

Spark

Azure

Docker

CI/CD

Job description

Aon is seeking an Assistant Vice President, Health Analytics Data Scientist to lead causal inference and predictive modeling efforts across US health datasets. The role combines hands-on model development with rigorous documentation and delivery to clients and senior leaders.

Ideal candidates will have 7+ years in health insurance or benefits consulting, strong statistics background, and practical MLOps and model governance experience. Remote options may be considered for the right fit.