Lead Health Analytics Data Scientist — Causal & Predictive

Aon plc; Inwood (TX); Remote; USD 160,000 - 190,000; Full time

Benefits offered by this job

401(k) savings plan with employer and/

Employee stock purchase plan

Medical, dental and vision insurance

Paid time off and holidays

Disability insurance

Health savings account

Tuition assistance

Job summary

Aon plc is seeking an experienced Assistant Vice President, Health Analytics Data Scientist to lead causal inference and predictive modeling for cost-of-care and health program evaluation. The role involves building, validating, and deploying models with end-to-end governance, and collaborating with ABS, cloud, and offshore teams.

The position requires strong statistics, health economics background, and expertise in Python/R, SQL, and data systems like Databricks and Azure.

Qualifications

• Minimum 7 years of total experience in health analytics, health insurance, or related fields.
• Strong foundation in statistics or health economics with model validation and experimental design.
• Hands-on experience building and tuning tabular predictive models with feature engineering and explainability methods.
• Experience applying causal inference to observational health data, including matched cohort emulation and DID approaches.
• Deep understanding of US health data standards (ICD-10-CM/PCS, CPT, DRG).
• Experience with MLOps and model governance, including model registries and reproducible pipelines.
• Excellent communication and ability to present statistical results to 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 and tune predictive models on large eligibility, claims, and pharmacy data.
• Conduct medical economics and causal studies to assess program impact on financial and clinical outcomes.
• Document methods and results, and present findings to clients and senior leaders.
• Ensure end-to-end MLOps, model governance, and validation workflows are in place.
• Mentor junior data scientists and manage multiple projects with clear milestones.

Skills

Python

R

SQL

Causal inference

Predictive modeling

MLOps

Model governance

Data science

Education

Bachelor's or master's degree in statistics/related quantitative field

Tools

Databricks

Spark

Azure

Docker

CI/CD

Job description

Aon plc is seeking an experienced Assistant Vice President, Health Analytics Data Scientist to lead causal inference and predictive modeling for cost-of-care and health program evaluation. The role involves building, validating, and deploying models with end-to-end governance, and collaborating with ABS, cloud, and offshore teams.

The position requires strong statistics, health economics background, and expertise in Python/R, SQL, and data systems like Databricks and Azure.