Job description

What We Do Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT and life sciences clients. We are a business unit within Milliman, Inc., a respected consultancy with offices around the world. Candidates who have their pick of jobs are drawn to IntelliScript’s entrepreneurial and collaborative culture of innovation, excellence, exceptional customer service, balance, and transparency. Every single person has a voice in our company, and we challenge each other to push the outer limits of our full, diverse potential. And, we’ve shown sustained growth that ensures you’ll have room to grow your skillset, responsibilities, and career. Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Visit our LinkedIn page for a closer look at our company, and learn more about our cultural values here . Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our website to learn more about Milliman’s commitments to our people, diversity and inclusion, social impact, and sustainability. What this position entails Milliman, Inc. is recognized as a top firm that provides data, products, and professional services to the insurance industry. IntelliScript is a practice within Milliman that provides health and life insurers with real-time data and underwriting decision support tools via software-as-a-service (SaaS). IntelliScript offers an innovative suite of products which interpret and deliver electronic medical data (such as prescription histories, diagnoses, treatment data, etc.) to help our clients make effective underwriting and pricing decisions. Our company offers a unique entrepreneurial culture that also promotes work / life balance. IntelliScript has enjoyed consistent growth and is the leader in the markets we serve, where our scoring products are industry standards. The Senior Data Scientist will be integral as we continue to bring innovative new products to market in response to client needs and opportunities. The Senior Data Scientist will build upon their data science, machine learning, and/or GenAI and Natural Language Processing (NLP) expertise to develop intimate knowledge of our current product capabilities and provide advanced analytical expertise to enhance these products through new solutions. Projects will include construction, validation, documentation and delivery of sophisticated GenAI and machine learning solutions for a variety of healthcare-related problems. What you will be doing The key area of responsibility in the role of Senior Data Scientist is to work in conjunction with our business development and product teams to develop and implement commercially viable model-based solutions to the healthcare, insurance, life sciences and adjacent markets. • Research, develop, deploy, and maintain traditional AI/ML models following industry best practices • Work extensively with available GenAI models; construct exciting solutions to internal and external use cases across markets and enhance our internal capabilities through centralized internal tooling and thought leadership • Coordinate with other data scientists as the team works with Product, Business Development, ML Engineering, and IT to bring new and exciting data science products to market, as well as support existing industry leading products • Help drive best practices and continuous improvement on the data science team; participating in model design and experimentation strategy through planning, audit, peer review, and other coaching What we need • 5+ years of professional experience using AI/ML to create high return on investment commercial data science solutions • Experience with Electronic Health Records or unstructured data analysis • Strong understanding traditional AI/ML model building approaches such as: • Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting (XGBoost, LightGBM, CatBoost), and ensemble methods • Unsupervised Learning: K-means clustering, hierarchical clustering, PCA, and anomaly detection algorithms • Model Validation: Cross-validation strategies, hyperparameter optimization (Grid Search, Random Search, Bayesian optimization), and A/B testing frameworks • Deep Learning Architectures: Neural networks, transformers, and transfer learning methodologies • NLP Algorithms: Text preprocessing, TF-IDF, word embeddings (Word2Vec, GloVe), topic modeling (LDA), sentiment analysis, and named entity recognition • Strong understanding of NLP and generative AI; able to effectively use, fine-tune, and evaluate commercially available models as well as deploy and integrate local LLMs into the data science process • Hands-on experience building GenAI applications (e.g., RAG systems, LLM evaluation frameworks, or GenAI-powered internal tools) • Strong Python programmer, with some experience in R and/or SQL • Proficient user of Databricks or similar cloud-based model development ecosystem including mlflow, experimentation organization, data catalogs, and compute cluster configuration • Sufficient understanding of software engineering best practices such as Git for version control, unit testing, local development, and environment management • Awareness of ML Engineering and ML Ops related concepts and tools including CICD pipelines, GitHub Actions, Docker, AWS Lambda, and Linux • Degree in a relevant field (computer science, data science, statistics, mathematics, applied math, actuarial science, economics, etc.) What you bring to the table • Excellent communication skills, in person and through phone / email • Proven ability to understand client analytical needs, translate them into an action plan, then execute and deliver • Customer-centric approach to finding solutions • Focused on results and able to explain findings in a way that answers business problems • Constructive, “can do” approach to overcoming obstacles • Can quickly learn new techniques and technologies • Proactive in identifying process improvements • Strong work ethic, willing to pitch in wherever needed • Thrive in a small team, without micromanagement • Ability to manage projects and timelines, including directing the work of others Wish List • Master’s Degree in relevant field or Actuarial designation (FCAS/FSA) • Experience in one of the following industries: healthcare, insurance (L&H or P&C), finance, life sciences, or similar fields • Experience at an InsurTech or FinTech • Past experience working in a HIPAA / PHI / PCI compliant environment Location The expected application deadline for this job is January 31, 2027. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events. Compensation The overall salary range for this role is $93,700 - $222,985. For candidates residing in: • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia: • • $107,755 - $177,675 if overall experience is less than 10 years; and • $135,125 - $222,985 for experience greater than 10 years. • All other states: • $93,700 - $154,500 if overall experience is less than 10 years; and • $117,500 - $193,900 for experience greater than 10 years. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. Milliman Benefits We offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include: • Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners • Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges • 401(k) Plan – Includes a company matching program and profit-sharing contributions • Discretionary Bonus Program – Recognizing employee contributions • Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses • Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis • Holidays – A minimum of 10 paid holidays per year • Family Building Benefits – Includes adoption and fertility assistance • Paid Parental Leave – Up to 11 weeks of paid leave for employees who meet eligibility criteria • Life Insurance & AD&D – 100% of premiums covered by Milliman • Short-Term and Long-Term Disability – Fully paid by Milliman #IntelliScript #LI-REMOTE #LI-LA1

Requirements

Must-haves

What this position entails
What you will be doing
Research, develop, deploy, and maintain traditional AI/ML models following industry best practices
Help drive best practices and continuous improvement on the data science team; participating in model design and experimentation strategy through planning, audit, peer review, and other coaching
What we need
5+ years of professional experience using AI/ML to create high return on investment commercial data science solutions
Experience with Electronic Health Records or unstructured data analysis
Strong understanding traditional AI/ML model building approaches such as:
Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting (XGBoost, LightGBM, CatBoost), and ensemble methods
Unsupervised Learning: K-means clustering, hierarchical clustering, PCA, and anomaly detection algorithms
Model Validation: Cross-validation strategies, hyperparameter optimization (Grid Search, Random Search, Bayesian optimization), and A/B testing frameworks
Deep Learning Architectures: Neural networks, transformers, and transfer learning methodologies
NLP Algorithms: Text preprocessing, TF-IDF, word embeddings (Word2Vec, GloVe), topic modeling (LDA), sentiment analysis, and named entity recognition
Strong understanding of NLP and generative AI; able to effectively use, fine-tune, and evaluate commercially available models as well as deploy and integrate local LLMs into the data science process
Hands-on experience building GenAI applications (e.g., RAG systems, LLM evaluation frameworks, or GenAI-powered internal tools)
Strong Python programmer, with some experience in R and/or SQL
Proficient user of Databricks or similar cloud-based model development ecosystem including mlflow, experimentation organization, data catalogs, and compute cluster configuration
Sufficient understanding of software engineering best practices such as Git for version control, unit testing, local development, and environment management
Awareness of ML Engineering and ML Ops related concepts and tools including CICD pipelines, GitHub Actions, Docker, AWS Lambda, and Linux
Degree in a relevant field (computer science, data science, statistics, mathematics, applied math, actuarial science, economics, etc.)
What you bring to the table
Excellent communication skills, in person and through phone / email
Proven ability to understand client analytical needs, translate them into an action plan, then execute and deliver

Nice-to-haves

Discretionary Bonus Program – Recognizing employee contributions

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimlllmpythonsqldockeraws

Platform: ukg
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave