Lead Data Scientist - IntelliScript

Salary: $117, per year

• 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, Git Hub 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 Insur Tech or Fin Tech 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
• Git Hub
• Support
• LLM
• Linux
• Python
• SQL
• LESS
• Machine Learning
• Security

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 Final date to receive applications 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 41 week of 2026