Healthcare Data Scientist — Applied ML & Analytics

Milliman, Inc.

Indianapolis, Northern (IN, KY)

Hybrid

USD 120,000 - 180,000

Full time

42 hours ago
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Benefits offered by this job

Medical, Dental & Vision
Employee Assistance Program
401(k) Plan with company match
Discretionary Bonus Program
Flexible Spending Accounts
Paid Time Off
Holidays
Family Building Benefits
Paid Parental Leave
Life Insurance & AD&D
Short-Term and Long-Term Disability

Job summary

Milliman's Indianapolis Health practice seeks a Data Scientist to advance applied data science within healthcare analytics. You will translate complex problems into scalable ML solutions and collaborate with actuarial, clinical, and policy teams to deliver impactful client insights.

Responsibilities include developing interpretable models, producing high-quality client reports, and supporting proposals with technical diagrams.

Qualifications

  • Bachelor's degree in data-related field required.
  • 2-5+ years in data science, ML, or AI engineering roles.
  • Experience with healthcare data and analytics preferred.
  • Strong communication and client-facing skills.

Responsibilities

  • Develop and extend AI/analytics products for healthcare.
  • Build interpretable ML models and feature attributions.
  • Produce client-ready reports, exhibits, and presentations.
  • Apply ML, NLP, and emerging analytics techniques where appropriate.
  • Monitor model performance and design dashboards for KPIs.
  • Collaborate with data engineering to build scalable pipelines.

Skills

Python
SQL
Spark
Databricks
MLOps
Docker
CI/CD
Communication

Education

Bachelor's degree in Data Science/CS/Statistics
Master's degree (Preferred)

Tools

Git/GitHub
PySpark

Job description

Milliman's Indianapolis Health practice seeks a Data Scientist to advance applied data science within healthcare analytics. You will translate complex problems into scalable ML solutions and collaborate with actuarial, clinical, and policy teams to deliver impactful client insights.

Responsibilities include developing interpretable models, producing high-quality client reports, and supporting proposals with technical diagrams.

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