Senior Data Scientist – IntelliScript

Milliman

. Develop intimate knowledge of IntelliScript’s current product capabilities .

Posted 10/2/2026full-timeBrookfield • Wisconsin • United StatesSenior💰 $93,700 - $222,985 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing AI/ML solutions, particularly in healthcare and related fields, with a strong focus on GenAI applications and model validation. Proficient in Python and familiar with cloud-based model development ecosystems, ensuring adherence to software engineering best practices.

Highest-signal resume keywords

AI/ML Solution DevelopmentGenAI Application BuildingNLP Algorithms ProficiencyPython Programming SkillsHealthcare Data Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML Model BuildingModel ValidationHyperparameter OptimizationNeural NetworksTransformersNLP TechniquesGenAI SolutionsData AnalysisStatistical AnalysisProject Management

Soft Skills

Excellent CommunicationCustomer-Centric ApproachProblem-SolvingAdaptabilityTeam Collaboration

Tools & Technologies

DatabricksMLflowGitDockerAWS LambdaLinuxCI/CD PipelinesGitHub ActionsRSQL

Certifications & Qualifications

Master's Degree in Relevant FieldActuarial Designation (FCAS/FSA)

Industry Keywords

HealthcareInsuranceLife SciencesFinTechInsurTechHIPAA CompliancePHI CompliancePCI ComplianceElectronic Health RecordsUnstructured Data Analysis

Tech Stack

Tools & technologies

AWSCloudDockerLinuxPythonSQL

About the role

Key responsibilities & impact

Develop intimate knowledge of IntelliScript’s current product capabilities
Provide advanced analytical expertise to enhance products through new solutions
Construct, validate, document, and deliver sophisticated GenAI and machine learning solutions for healthcare-related problems
Research, develop, deploy, and maintain traditional AI/ML models following industry best practices
Work extensively with available GenAI models
Construct GenAI solutions for internal and external use cases across markets
Enhance internal capabilities through centralized internal tooling and thought leadership
Coordinate with data scientists, Product, Business Development, ML Engineering, and IT teams to bring data science products to market
Support existing industry-leading products
Drive best practices and continuous improvement on the data science team
Participate in model design and experimentation strategy through planning, audit, peer review, and coaching
Develop and implement commercially viable model-based solutions for healthcare, insurance, life sciences, and adjacent markets

Requirements

What you’ll 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 of traditional AI/ML model-building approaches, including supervised and unsupervised learning
Experience with model validation, cross-validation, hyperparameter optimization, and A/B testing frameworks
Knowledge of neural networks, transformers, and transfer learning
Knowledge of NLP algorithms, including text preprocessing, TF-IDF, word embeddings, topic modeling, sentiment analysis, and named entity recognition
Strong understanding of NLP and generative AI; ability to use, fine-tune, and evaluate commercial models and deploy/integrate local LLMs
Hands-on experience building GenAI applications such as RAG systems, LLM evaluation frameworks, or GenAI-powered internal tools
Strong Python programming skills, with some experience in R and/or SQL
Proficiency with Databricks or a similar cloud-based model development ecosystem, including MLflow, data catalogs, experimentation organization, and compute cluster configuration
Understanding of software engineering best practices, including Git, unit testing, local development, and environment management
Awareness of ML Engineering and MLOps concepts and tools, including CI/CD pipelines, GitHub Actions, Docker, AWS Lambda, and Linux
Degree in a relevant field such as computer science, data science, statistics, mathematics, applied math, actuarial science, or economics
Excellent communication skills
Ability to understand client analytical needs, translate them into an action plan, and execute and deliver
Customer-centric approach to finding solutions
Ability to explain findings in a way that answers business problems
Ability to learn new techniques and technologies quickly
Ability to identify process improvements
Ability to manage projects and timelines, including directing the work of others
Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events
Master's Degree in a relevant field or Actuarial designation (FCAS/FSA) preferred
Experience in healthcare, insurance, finance, life sciences, or similar fields preferred
Experience at an InsurTech or FinTech preferred
Past experience working in a HIPAA / PHI / PCI compliant environment preferred

Benefits

Comp & perks

Medical, Dental and Vision coverage for employees, dependents, and domestic partners
Employee Assistance Program (EAP)
401(k) plan with company matching and profit-sharing contributions
Discretionary Bonus Program
Flexible Spending Accounts (FSA)
Paid Time Off (PTO); full-time employees accrue 15 days per year
Minimum of 10 paid holidays per year
Family Building Benefits, including adoption and fertility assistance
Paid Parental Leave of up to 11 weeks for eligible employees
Life Insurance & AD&D; 100% of premiums covered by Milliman
Short-Term and Long-Term Disability; fully paid by Milliman
Skills training and career development
Learning and mentoring opportunities
Employee Resource Groups
Remote work; travel to the Brookfield, WI office as needed and nationwide travel for meetings, conferences, and team events