Senior Data Scientist - IntelliScript (Remote)
Overview:
In this role, you will advance data-driven solutions within Milliman Intelli Script, applying AI/ML and GenAI to healthcare, insurance, and life sciences problems. You will collaborate with product and business teams to bring innovative, commercially viable models to market, shaping our SaaS analytics offerings. You'll work on real-time data interpretation and sophisticated NLP/GenAI work to improve underwriting and pricing. This position offers growth in a fast-paced, entrepreneurial culture focused on impact and client value. Compensation / Benefits Medical, Dental and Vision 401(k) with company match and profit-sharing Discretionary Bonus Program Paid Time Off (PTO) Paid Parental LeaveLife Insurance & AD&DResponsibilitiesDevelop and deploy model-based solutions for healthcare, insurance, life sciences, and related markets in collaboration with Product and Business Development teams Research, develop, deploy, and maintain traditional AI/ML models following industry best practices Explore and integrate GenAI models to solve internal and external use cases and build centralized tooling Coordinate with data scientists, ML Engineering, IT, and Product teams to bring new data science products to market and support existing ones Drive best practices, planning, audit, and coaching in model design and experimentation
Key requirements:
- 5+ years of AI/ML experience delivering commercial data science solutions
- Experience with Electronic Health Records or unstructured data analysis
- Strong foundation in supervised/unsupervised learning, model validation, and deep learningNLP and generative AI proficiency; ability to deploy and evaluate models and integrate local LLMsHands-on GenAI experience (RAG, LLM evaluation frameworks, internal GenAI tools)
- Strong Python; experience in R/SQLProficiency with Databricks or similar cloud ML environment (mlflow, data catalogs, compute clusters)
- Knowledge of software engineering practices (Git, testing, environment management)
- Awareness of ML Engineering / MLOps concepts and tools (CI/CD, Docker, AWS Lambda, Linux)
Degree in computer science, data science, statistics, mathematics, actuarial science, economics, etc.
Excellent communication
Customer-centric problem solving
Result-orientedAI/ML model development
GenAI and NLPTransformers and transfer learning