Health Analytics AVP: Data Scientist & Causal Modeling

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

Benefits offered by this job

401(k) plan

Employee stock purchase plan

Medical, dental and vision insurance

Paid holidays

Paid vacation

Job summary

Aon plc seeks an Assistant Vice President, Health Analytics Data Scientist to lead causal inference and predictive modeling across US health data, from design to governance. You will partner with ABS, cloud architects, and engineers to productionize analytics and ensure rigorous methods.

The ideal candidate has 7+ years in health analytics or health benefits consulting, strong statistics, MLOps familiarity, and superb ability to present complex results to clients and leaders.

Qualifications

• 7+ years of experience in health analytics or health benefits consulting.
• Strong foundation in applied statistics and causal inference.
• Experience building and deploying tabular predictive models on large claims datasets.
• Ability to document methods and present results to technical and non-technical audiences.

Responsibilities

• Develop and deliver causal inference and predictive modeling workstreams for US Health Analytics.
• Collaborate with ABS, cloud architects, and offshore teams to align data pipelines and deployment standards.
• Design, build, and tune tabular analyses and predictive models on large eligibility, medical, and pharmacy claims datasets.
• Document methods and present findings, uncertainty, and limitations to clients and senior leaders.

Skills

Python

R

SQL

Causal inference

MLOps

Model governance

Data visualization

Education

Bachelor’s in a quantitative field

Master’s in a quantitative field

Tools

Databricks

Spark

Azure

Docker

CI/CD

Job description

Aon plc seeks an Assistant Vice President, Health Analytics Data Scientist to lead causal inference and predictive modeling across US health data, from design to governance. You will partner with ABS, cloud architects, and engineers to productionize analytics and ensure rigorous methods.

The ideal candidate has 7+ years in health analytics or health benefits consulting, strong statistics, MLOps familiarity, and superb ability to present complex results to clients and leaders.