Senior Data Scientist - IntelliScript (Remote)

Requirements:

• At least 5 years of professional experience using AI/ML to develop commercially valuable data science solutions
• Experience with electronic health records or unstructured data analysis
• Strong knowledge of traditional AI/ML methods, including supervised and unsupervised learning, model validation, deep learning, and NLP
• Strong understanding of NLP and generative AI, including the ability to use, fine-tune, and evaluate commercial models and integrate local LLMs
• Hands-on experience building generative AI applications, such as RAG systems, LLM evaluation frameworks, or internal AI tools
• Strong Python skills, with some experience in R and/or SQL
• Proficiency with Databricks or a comparable cloud model-development environment, including MLflow, experiment management, data catalogs, and compute configuration
• Understanding of software engineering practices such as version control, unit testing, local development, and environment management
• Familiarity with ML Engineering and MLOps concepts and tools, including CI/CD, GitHub Actions, Docker, AWS Lambda, and Linux
• Degree in a relevant discipline, such as computer science, data science, statistics, mathematics, actuarial science, or economics
• Excellent communication skills and the ability to understand client analytical needs, plan and deliver solutions, and explain findings in business terms
• Customer-focused, results-oriented approach, with adaptability, initiative, a strong work ethic, and a willingness to contribute where needed
• Ability to work effectively in a small team with minimal oversight, manage projects and timelines, and direct others work
• Preferred: Relevant masters degree or FCAS/FSA actuarial designation
• Preferred: Experience in healthcare, insurance, finance, life sciences, InsurTech, or FinTech
• Preferred: Experience working in a HIPAA-, PHI-, or PCI-compliant environment

Responsibilities:

• Research, develop, deploy, and maintain traditional AI/ML models using industry best practices
• Work with generative AI models to create solutions for internal and external use cases across markets, and strengthen our capabilities through shared tools and thought leadership
• Partner with data scientists and colleagues in Product, Business Development, ML Engineering, and IT to develop new data science products and support existing offerings
• Collaborate with business development and product teams to build and implement commercially viable model-based solutions for healthcare, insurance, life sciences, and adjacent markets
• Contribute to data science best practices and continuous improvement through model design, experimentation planning, audits, peer reviews, and coaching
• Construct, validate, document, and deliver advanced generative AI and machine learning solutions for healthcare-related challenges

Technologies:

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

More

We are Milliman IntelliScript, a practice within Milliman, Inc., where a multidisciplinary team develops data-driven SaaS products for insurance, health IT, and life sciences clients. Our products interpret electronic medical data to support underwriting and pricing decisions, and our scoring products are industry standards. We offer an entrepreneurial, collaborative culture focused on innovation, customer service, transparency, and work-life balance, with opportunities for career development, training, mentoring, and employee-led resource groups. We provide competitive compensation and a comprehensive benefits package, including health coverage, retirement contributions, bonuses, paid time off, holidays, family-building support, parental leave, life insurance, and disability coverage. This Senior Data Scientist role is open to remote work, with travel as needed to our Brookfield, Wisconsin office and to nationwide meetings, conferences, and team events. The overall salary range is $93,700–$222,985, with location- and experience-based ranges; compensation is determined using factors including education, experience, qualifications, skills, and certifications. The expected application deadline is January 31, 2027.

last updated 43 week of 2026