Data Scientist - IntelliScript (Remote)
About the Company
Milliman IntelliScript is a business unit of Milliman, Inc., a global consultancy providing data, products, and professional services to the insurance industry. IntelliScript develops data-driven software-as-a-service (SaaS) products for insurance, healthcare IT, and life sciences clients. Its solutions use electronic medical data, including prescription histories, diagnoses, and treatment information, to support underwriting and pricing decisions. The company promotes an entrepreneurial, collaborative culture built around innovation, customer service, transparency, and work-life balance. Milliman also supports employee development through training, mentoring, and employee-led resource groups.
About the Role
Milliman IntelliScript is seeking a Lead Data Scientist to develop and deliver advanced analytical solutions for healthcare, insurance, life sciences, and related markets. The role will focus on building, validating, documenting, and deploying traditional machine learning models and generative AI solutions to address healthcare-related challenges and evolving client needs. Working closely with Product, Business Development, ML Engineering, and IT teams, the Lead Data Scientist will help bring new data science products to market while enhancing existing solutions. This position also involves technical leadership, improving team practices, guiding model design and experimentation, and sharing expertise across the data science team.
Key Responsibilities
Research, develop, deploy, and maintain traditional AI and machine learning models in accordance with industry best practices. Develop solutions using available generative AI models for internal and external use cases across multiple markets. Build internal tools and contribute to shared capabilities and technical thought leadership in generative AI. Partner with Product, Business Development, ML Engineering, and IT teams to develop new data science products and support existing offerings. Design, construct, validate, document, and deliver machine learning and generative AI solutions for healthcare-related problems. Drive continuous improvement and establish best practices across the data science team. Influence model design and experimentation strategies through planning, audits, peer reviews, and coaching. Translate client analytical needs into actionable plans and commercially viable solutions. Manage project timelines and coordinate work involving other team members. Required Qualifications 10 or more years of professional experience applying AI and machine learning to develop commercial data science solutions with strong return on investment. Expertise in electronic health records or unstructured data analysis. Demonstrated expertise in developing traditional AI and machine learning models. Strong knowledge of supervised learning techniques, including linear and logistic regression, decision trees, random forests, gradient boosting frameworks such as XGBoost, LightGBM, and CatBoost, and ensemble methods. Experience with unsupervised learning techniques, including K-means and hierarchical clustering, principal component analysis (PCA), and anomaly detection. Knowledge of model validation methods, including cross-validation, hyperparameter optimization, and A/B testing frameworks. Familiarity with deep learning architectures, including neural networks, transformers, and transfer learning. Knowledge of natural language processing techniques, including text preprocessing, TF-IDF, Word2Vec, GloVe, topic modeling, sentiment analysis, and named entity recognition. Expert understanding of NLP and generative AI, including the ability to use, fine-tune, and evaluate commercial models and integrate local large language models (LLMs) into data science workflows. Hands-on experience building generative AI applications, such as retrieval-augmented generation (RAG) systems, LLM evaluation frameworks, or AI-powered internal tools. Expert-level Python programming skills, with some experience in R and/or SQL. Expertise in Databricks or a similar cloud-based model development environment, including MLflow, experiment organization, data catalogs, and compute cluster configuration. Understanding of software engineering practices, including Git version control, unit testing, local development, and environment management. Knowledge of ML Engineering and MLOps concepts and tools, including CI/CD pipelines, GitHub Actions, Docker, AWS Lambda, and Linux. A degree in a relevant field, such as computer science, data science, statistics, mathematics, applied mathematics, actuarial science, or economics. Additional Skills and Experience Excellent communication skills across in-person, phone, and email interactions. Ability to understand client analytical needs, develop action plans, and deliver effective solutions. A customer-focused approach to problem-solving and the ability to explain findings in terms of business needs. A results-oriented mindset and a constructive approach to overcoming challenges. Ability to learn new techniques and technologies quickly. Proactive identification of process improvements. Strong work ethic and willingness to contribute wherever needed. Ability to work effectively in a small team without close supervision. Project management skills, including managing timelines and directing the work of others.
Preferred Qualifications
A PhD in a relevant field or an actuarial designation, such as FCAS or FSA. Experience in healthcare, life and health insurance, property and casualty insurance, finance, life sciences, or a related industry. Experience working at an InsurTech or FinTech company. Previous experience working in a HIPAA-, PHI-, or PCI-compliant environment. Work Location and Travel This position is open to remote work. The successful candidate must be willing to travel to Milliman's office in Brookfield, Wisconsin, as needed, and travel nationwide for meetings, conferences, and team events. The expected application deadline is December 31, 2026. Salary and Benefits The overall salary range is $117,500 to $249,780, with the applicable range depending on location and overall professional experience. For candidates residing in Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia: Less than 15 years of overall experience: $135,125–$222,985. More than 15 years of overall experience: $151,340–$249,780. For candidates residing in all other states: Less than 15 years of overall experience: $117,500–$193,900. More than 15 years of overall experience: $131,600–$217,200. Compensation decisions may consider education, relevant work experience, qualifications, skills, certifications, and other factors. Milliman offers a comprehensive benefits package that includes: Medical, dental, and vision coverage for employees, dependents, and domestic partners. Employee Assistance Program providing confidential support for personal and work-related challenges. 401(k) plan with company matching and profit-sharing contributions. Discretionary bonus program. Flexible Spending Accounts for eligible dependent care, transportation, and medical expenses. Paid time off accruing from the first day of work. Full-time employees accrue 15 days annually, while employees working less than full-time accrue PTO on a prorated basis. At least 10 paid holidays per year. Family-building benefits, including adoption and fertility assistance. Up to 11 weeks of paid parental leave for eligible employees. Life insurance and accidental death and dismemberment (AD&D) coverage, with premiums fully covered by Milliman. Short-term and long-term disability coverage, fully paid by Milliman. Equal Opportunity Employer Milliman provides equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, national origin, disability, or protected veteran status.