Job Description

Salary: $117,500 - 249,780 per year Requirements:

• We look for 10+ years of professional experience applying AI/ML to deliver strong commercial data science outcomes.
• We need expertise with electronic health records or unstructured data analysis.
• We expect deep experience building traditional AI/ML models, including supervised learning, unsupervised learning, model validation, deep learning architectures, and NLP techniques.
• We need strong command of NLP and generative AI, including the ability to use, fine-tune, evaluate, and integrate commercially available models and local LLMs.
• We look for hands-on experience building GenAI applications such as RAG systems, LLM evaluation frameworks, or GenAI-powered internal tools.
• We need advanced Python programming skills, with some experience in R and/or SQL.
• We expect expertise with Databricks or a similar cloud-based model development environment, including mlflow, experimentation organization, data catalogs, and compute cluster setup.
• We need familiarity with software engineering best practices such as Git, unit testing, local development, and environment management.
• We look for knowledge of ML engineering and MLOps concepts and tools, including CI/CD pipelines, GitHub Actions, Docker, AWS Lambda, and Linux.
• We require a degree in a relevant field such as computer science, data science, statistics, mathematics, applied math, actuarial science, or economics.
• We value excellent communication skills, both in person and by phone or email.
• We seek someone who can understand client analytical needs, translate them into a plan, and execute effectively.
• We prefer a customer-focused mindset, strong results orientation, and the ability to explain findings in business terms.
• We value a constructive, proactive approach, a strong work ethic, and the ability to thrive in a small team with limited oversight.
• We need proven project and timeline management skills, including the ability to guide the work of others.
• Preferred qualifications include a PhD in a relevant field or an actuarial designation such as FCAS/FSA.
• Preferred background includes experience in healthcare, insurance, finance, life sciences, or similar industries.
• Preferred experience at an InsurTech or FinTech company.
• Preferred experience working in HIPAA, PHI, or PCI compliant environments.

• We research, develop, deploy, and maintain traditional AI/ML models using industry best practices.
• We work extensively with GenAI models to create solutions for internal and external use cases and strengthen our internal capabilities through tooling and thought leadership.
• We partner with Product, Business Development, ML Engineering, and IT to launch new data science products and support our existing offerings.
• We help shape best practices and continuous improvement on the data science team through planning, audits, peer review, coaching, and experimentation strategy.
• We develop and implement commercially viable model-based solutions for healthcare, insurance, life sciences, and adjacent markets.

• AI
• AWS
• Lambda
• CI/CD
• Cloud
• Databricks
• Docker
• Git
• GitHub
• Support
• LLM
• Linux
• Python
• SQL
• LESS
• Machine Learning
• Security

More:

We are Milliman IntelliScript, a business unit within Milliman, Inc., and we build data-driven SaaS products for insurance, health IT, and life sciences clients. Our team is entrepreneurial, collaborative, and transparent, with a culture that values innovation, customer service, balance, and professional growth. We offer competitive compensation, comprehensive benefits, and access to learning, mentoring, employee resource groups, and career development opportunities. This is a remote role with travel as needed to our Brookfield, WI office and for nationwide meetings, conferences, and team events. The application deadline is December 31, 2026. We also offer a comprehensive benefits package including medical, dental, and vision coverage; a 401(k) with matching and profit sharing; discretionary bonus opportunities; paid time off; paid holidays; family building support; parental leave; and fully paid life, AD&D, and disability coverage.

last updated 33 week of 2026

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