{"id":3278134,"url":"https://alion.io/job/milliman-lead-data-scientist-intelliscript-remote","title":"Lead Data Scientist - IntelliScript (Remote)","company":{"id":1764138,"name":"Milliman","domain":"milliman.com","url":"https://alion.io/company/milliman","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"UltiPro","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":117500,"max":249780,"currency":"USD","period":"year","gross":null,"usd_annual":249780},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CatBoost","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"HIPAA","optional":false},{"name":"LightGBM","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Sentiment Analysis","optional":false},{"name":"SQL","optional":false},{"name":"Transfer Learning","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-07-15T15:12:53Z","employer_posted_date":"2026-07-15","last_verified_at":"2026-10-28T13:02:39Z","board_verified":true,"closed_at":null,"days_open":104,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":104},"description":"What We Do\nMilliman 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.\nCandidates 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.\nOur 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.\nMilliman 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.\nWhat this position entails\nMilliman, 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.\nThe Lead Data Scientist will be integral as we continue to bring innovative new products to market in response to client needs and opportunities. The Lead 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.\nWhat you will be doing\nThe key area of responsibility in the role of Lead 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.\nResearch, develop, deploy, and maintain traditional AI/ML models following industry best practices\nWork 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\nCoordinate 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\nHelp drive best practices and continuous improvement on the data science team; influencing model design and experimentation strategy through planning, audit, peer review, and other coaching\nWhat we need\n10+ years of professional experience using AI/ML to create high return on investment commercial data science solutions\nExpertise with Electronic Health Records or unstructured data analysis\nExpert data scientist with demonstrable capability building traditional AI/ML modelsSupervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting (XGBoost, LightGBM, CatBoost), and ensemble methods\nUnsupervised Learning: K-means clustering, hierarchical clustering, PCA, and anomaly detection algorithms\nModel Validation: Cross-validation strategies, hyperparameter optimization (Grid Search, Random Search, Bayesian optimization), and A/B testing frameworks\nDeep Learning Architectures: Neural networks, transformers, and transfer learning methodologies\nNLP Algorithms: Text preprocessing, TF-IDF, word embeddings (Word2Vec, GloVe), topic modeling (LDA), sentiment analysis, and named entity recognition\n\nExpert 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\nHands-on experience building GenAI applications (e.g., RAG systems, LLM evaluation frameworks, or GenAI-powered internal tools)\nExpert level Python programmer, with some experience in R and/or SQL\nExpert user of Databricks or similar cloud-based model development ecosystem including mlflow, experimentation organization, data catalogs, and compute cluster configuration\nSufficient understanding of software engineering best practices such as Git for version control, unit testing, local development, and environment management\nKnowledge of ML Engineering and ML Ops related concepts and tools including CICD pipelines, GitHub Actions, Docker, AWS Lambda, and Linux\nDegree in a relevant field (computer science, data science, statistics, mathematics, applied math, actuarial science, economics, etc.)\nWhat you bring to the table\nExcellent communication skills, in person and through phone / email\nProven ability to understand client analytical needs, translate them into an action plan, then execute and deliver\nCustomer-centric approach to finding solutions\nFocused on results and able to explain findings in a way that answers business problems\nConstructive, “can do” approach to overcoming obstacles\nCan quickly learn new techniques and technologies\nProactive in identifying process improvements\nStrong work ethic, willing to pitch in wherever needed\nThrive in a small team, without micromanagement\nAbility to manage projects and timelines, including directing the work of others\nWish List\nPhD in relevant field or Actuarial designation (FCAS/FSA)\nExperience in one of the following industries: healthcare, insurance (L&H or P&C), finance, life sciences, or similar fields\nExperience at an InsurTech or FinTech\nPast experience working in a HIPAA / PHI / PCI compliant environment\nLocation\nThe expected application deadline for this job is December 31, 2026. 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.\nCompensation\nThe overall salary range for this role is $117,500 - $249,780. For candidates residing in:\nAlaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia:$135,125 - $222,985 if overall experience is less than 15 years; and\n$151,340 - $249,780 for experience greater than 15 years.\n\nAll other states:$117,500 - $193,900 if overall experience is less than 15 years; and\n$131,600 - $217,200 for experience greater than 15 years.\n\nA combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.\nBenefits\nWe offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include:\nMedical, Dental and Vision - Coverage for employees, dependents, and domestic partners\nEmployee Assistance Program (EAP) - Confidential support for personal and work-related challenges\n401(k) Plan - Includes a company matching program and profit-sharing contributions\nDiscretionary Bonus Program - Recognizing employee contributions\nFlexible Spending Accounts (FSA) - Pre-tax savings for dependent care, transportation, and eligible medical expenses\nPaid 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\nHolidays - A minimum of 10 paid holidays per year\nFamily Building Benefits - Includes adoption and fertility assistance\nPaid Parental Leave - Up to 11 weeks of paid leave for employees who meet eligibility criteria\nLife Insurance & AD&D - 100% of premiums covered by Milliman\nShort-Term and Long-Term Disability - Fully paid by Milliman\nEqual Opportunity\nAll qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected 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