Note: The job is a remote job and is open to candidates in USA. Milliman IntelliScript develops data-driven SaaS products for insurance, health IT, and life sciences clients. The Senior Data Scientist will develop, validate, document, and deliver advanced GenAI and machine learning solutions for healthcare-related problems, collaborating with product, business development, ML engineering, and IT teams. The role also supports model maintenance, internal tooling, data science best practices, and commercially viable analytical solutions.
Responsibilities
- 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
Skills
- 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.)
- 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
- 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
Benefits
- This position is open to remote work.
- 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
- 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.
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