Health Analytics AVP Data Scientist (Remote/Hybrid)

Aon plc; Denver (CO); Remote; USD 160,000 - 190,000; Full time

Job summary

Aon plc is seeking an experienced Assistant Vice President, Health Analytics Data Scientist to lead causal inference and predictive modeling for U.S. health analytics.

You will stay hands-on while shaping end-to-end model governance, collaboration with ABS and offshore teams, and presenting results to senior leaders. Ideal candidates have 7+ years in health analytics, strong stats and ML skills, and the ability to mentor junior data scientists across multiple projects, with excellent

Qualifications

• 7+ years of total experience in health analytics or related field.
• Strong foundation in applied statistics or medical economics.
• Hands-on experience building and interpreting tabular predictive models.
• Experience applying causal inference to health data with matched cohort or DiD designs.
• Excellent written and verbal communication of methods and results.

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 predictive models on large claims datasets.
• Conduct medical economics and causal studies to assess program impacts on outcomes.
• Ensure MLOps governance, monitoring, and model documentation across lifecycle.

Skills

Statistical modeling

Causal inference

Python and/or R

SQL

MLOps & model governance

Data visualization & communication

Mentoring data scientists

Version control & reproducible work

Education

Bachelor's or master's degree in statistics/biostatistics/math/economics/health services/data science/CS/actuarial

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 U.S. health analytics.

You will stay hands-on while shaping end-to-end model governance, collaboration with ABS and offshore teams, and presenting results to senior leaders. Ideal candidates have 7+ years in health analytics, strong stats and ML skills, and the ability to mentor junior data scientists across multiple projects, with excellent