Lead Data Scientist - IntelliScript

Milliman IntelliScript; Town of Brookfield (WI); Remote; USD 118,000 - 250,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) with matching and profitsharing

Discretionary bonus opportunities

Paid time off

Job summary

Milliman IntelliScript, a Milliman unit, seeks a senior data scientist to research, develop, deploy, and maintain AI/ML models, including GenAI applications. You will work with Product, ML Engineering, and IT to deliver data science products for insurance and health IT clients.

Strong communication and leadership are essential. Remote role with travel to Brookfield, WI and nationwide meetings; competitive benefits offered and opportunities for professional growth within a collaborative team.

Qualifications

• 10+ years of professional AI/ML experience with commercial data science outcomes.
• Expertise with electronic health records or unstructured data analysis.
• Deep experience building traditional AI/ML models including supervised/unsupervised learning, model validation, deep learning, and NLP.
• Strong NLP and generative AI skills including using, fine-tuning, evaluating, and integrating models.
• Hands-on GenAI applications such as RAG systems, eval frameworks, or GenAI-powered tools.
• Advanced Python programming; some experience in R and/or SQL.
• Experience with Databricks or similar cloud-based dev env (mlflow, catalogs, clusters).
• Familiarity with Git, unit testing, and environment management.
• Knowledge of ML engineering and MLOps including CI/CD, GitHub Actions, Docker, AWS Lambda, Linux.
• Degree in CS, DS, statistics, mathematics, applied math, actuarial science, or economics.
• Excellent communication; ability to translate client needs into plans and execution.
• Customer-focused, results-oriented; explain findings in business terms.
• Constructive, proactive mindset; thrive in small team with limited oversight.
• Proven project and timeline management; ability to lead others.
• Preferred: PhD or FCAS/FSA; healthcare/insurance/finance/life sciences; InsurTech/FinTech; HIPAA/PHI/PCI environments.

Responsibilities

• Research, develop, deploy, and maintain traditional AI/ML models following industry best practices.
• Work extensively with GenAI models to create internal/external solutions and strengthen capabilities through tooling.
• Partner with Product, Business Development, ML Engineering, and IT to launch new data science products.
• Shape best practices and continuous improvement through planning, audits, coaching, and experimentation strategy.
• Develop and implement model-based solutions for healthcare, insurance, life sciences, and related markets.

Skills

AI/ML expertise

NLP & GenAI understanding

Client requirement translation

Communication skills

Project management

Education

PhD in a relevant field

Actuarial designation FCAS/FSA

Tools

Python

SQL

Databricks

mlflow

Git

GitHub

Docker

AWS

Lambda

Linux

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.

Responsibilities:

• 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.

Technologies:

• 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 41 week of 2026