Assistant Vice President, Health Analytics Data Scientist

Aon Corporation; Atlanta (GA); On-site; USD 160,000 - 190,000; Full time

Benefits offered by this job

401(k) matching

Employee stock purchase plan

Medical, dental, and vision insurance

Paid time off and holidays

Discretionary bonus

Tuition assistance

Commuter benefits

Paid vacation and sick leave

Job summary

Aon Corporation is seeking an Hands-on Assistant Vice President to lead causal inference and predictive modeling for US Health Analytics, applying rigorous methods and coordinating across global teams.

You will design and validate models, drive end-to-end MLOps practices, and present findings to senior stakeholders. The role requires strong Python/SQL expertise, 7+ years in health analytics, and onsite collaboration in Atlanta.

Qualifications

• Minimum 7 years of total experience in health analytics or health insurance.
• Strong foundation in applied statistics or medical economics, including model training and validation.
• Hands-on experience building, tuning, and interpreting tabular predictive models with feature engineering.
• Experience with causal inference on observational health data, including matched cohort and propensity score methods.
• Knowledge of US health data standards (ICD-10-CM, ICD-10-PCS, CPT, DRG).

Responsibilities

• Develop and deliver causal inference and predictive modeling workstreams for the US Health Analytics practice, maintaining methodological rigor.
• Partner with ABS, cloud architects, and offshore teams to align on data pipelines, model architecture, and deployment standards.
• Coordinate delivery across locations and time zones and move models from development to production.
• Design, build, and tune predictive models using gradient-boosted methods and statistical techniques for use cases like cost forecasting and risk stratification.
• Document methods, data definitions, and results thoroughly (write-ups, appendices, model cards, reproducible records).
• Present findings clearly to clients, carriers, consultants, and senior leaders via polished reports and presentations.
• Ensure MLOps and model governance end-to-end: CI/CD, drift and performance monitoring, model registries, and risk documentation.
• Mentor data scientists and lead multiple projects with clear priorities and milestones.
• Collaborate with senior leaders across health actuarial, consulting, clinical, and innovation practice areas.

Skills

Python

R

SQL

Statistical modeling

Causal inference

Communication

Mentoring

Education

Bachelor’s or Master’s degree in statistics/biostatistics/mathematics/economics/health services or data science

Advanced degrees are a plus

Tools

Databricks

Spark

Azure

Docker

CI/CD

MLflow

Job description

Hands-on Assistant Vice President role supporting US Health Analytics through causal inference, predictive modeling, and end-to-end model governance.

Responsibilities

• Develop and deliver causal inference and predictive modeling workstreams for the US Health Analytics practice, maintaining methodological rigor while building, reviewing, validating models and code within project timelines
• Partner with Aon Business Solutions / Technology (ABS), cloud architects, and offshore engineering and data science teams to align on data pipelines, model architecture, and deployment standards
• Coordinate delivery across locations and time zones, and move models from development into scalable, supported production
• Design, build, and tune tabular analyses and predictive models using gradient-boosted methods, statistical approaches, and emerging AI techniques for use cases such as:
  • Cost and utilization forecasting
  • High-cost claimant prediction
  • Risk stratification
  • Program engagement propensity
• Work with large eligibility, medical claims, and pharmacy claims datasets from multiple sources
• Design and execute medical economics and causal inference studies estimating program, treatment, vendor, and point-solution impact on financial, utilization, and clinical outcomes
• Apply matched cohort target trial emulation, including explicit eligibility, time zero, and follow-up definitions with propensity score matching or weighting
• Use difference-in-differences and event-study designs, including parallel-trends and sensitivity testing, plus risk adjustment
• Document methods, assumptions, data definitions, and results thoroughly (methodology write-ups, technical appendices, model cards, reproducible analysis records)
• Present findings, uncertainty, and limitations clearly to clients, carriers, consultants, and senior leaders via polished reports and presentations
• Ensure MLOps and model governance end-to-end: experiment tracking, model registries, reproducible training pipelines, automated testing, CI/CD, drift and performance monitoring, and documentation, validation, and approval workflows aligned with Aon risk, privacy, and compliance standards
• Serve as a senior technical, code, and methodology reviewer; set standards for model validation, explainability, bias and fairness review, and quality control
• Collaborate with senior leaders across Aon health actuarial, consulting, clinical, innovation, and specialty practice areas; stay current on emerging vendors and startups in healthcare navigation, digital health, and care delivery
• Mentor and coach data scientists; lead multiple projects with clear priorities, timelines, and milestones

Requirements

• Minimum 7 years of total experience, including health insurance, with a track record of delivering value to clients and colleagues
• Strong foundation in applied statistics or medical economics, including model training and validation, statistical testing, regression and generalized linear models, and experimental and quasi-experimental design
• Deep hands-on experience building, tuning, and interpreting tabular predictive models, including feature engineering, cross-validation, hyperparameter optimization, calibration, class imbalance, and explainability methods
• Hands-on experience applying causal inference to observational health data / medical economics, including:
  • Matched cohort target trial emulation
  • Propensity score methods
  • Difference-in-differences (including staggered-adoption and event-study approaches)
  • Sensitivity analysis
  • Risk adjustment
• Detailed understanding of US health data: eligibility, medical and pharmacy claims, and coding standards including ICD-10-CM, ICD-10-PCS, CPT, and DRG
• Experience with MLOps and model governance (for example, MLflow or similar), including model registries, automated training and scoring pipelines, version control, drift and performance monitoring, and model risk documentation and review
• Experience partnering with enterprise technology and architecture teams and working with offshore or distributed engineering teams to deploy and support models in production
• Expert Python and/or R and strong SQL; experience with Databricks, Spark, Azure, Docker, and CI/CD is a plus
• High-performing individual contributor who can mentor junior data scientists and work independently across multiple projects
• Excellent written and verbal communication, including clear documentation and presentations of statistical results, uncertainty, and limitations for both technical and non-technical audiences

Technologies

• Python, R, SQL
• MLflow, Databricks, Spark
• Azure, Docker, CI/CD
• ICD-10-CM, ICD-10-PCS, CPT, DRG

Benefits

• 401(k) savings plan with employer contributions
• Employee stock purchase plan
• Consideration for long-term incentive awards at Aon’s discretion
• Medical, dental, and vision insurance
• Various types of leaves of absence
• Paid time off, including 12 paid holidays throughout the calendar year
• 15 days of paid vacation per year
• Paid sick leave as provided under state and local paid sick leave laws
• Short-term disability and optional long-term disability
• Health savings account
• Health care and dependent care reimbursement accounts
• Employee and dependent life insurance and supplemental life and AD&D insurance
• Optional personal insurance policies
• Adoption assistance
• Tuition assistance
• Commuter benefits
• Employee assistance program that includes free counseling sessions
• Annual discretionary bonus through one of Aon’s annual incentive plans

Education

• Bachelor’s or master’s degree in statistics, biostatistics, mathematics, economics, health services / public health research, data science, computer science, actuarial science, or a related quantitative field, or equivalent professional experience; advanced degrees are a plus

Compensation and Location

• Location: Atlanta, GA (onsite)
• Salary range: USD 160,000 to 190,000 per year
• This position is eligible to participate in one of Aon’s annual incentive plans to receive an annual discretionary bonus in addition to base salary