Lead Data Scientist - IntelliScript; Remote

Position: Lead Data Scientist - IntelliScript (Remote)
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 Linked In 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 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.

What you will be doing

The 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.

• 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 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; influencing model design and experimentation strategy through planning, audit, peer review, and other coaching

What we need

• 10+ years of professional experience using AI/ML to create high return on investment commercial data science solutions
• Expertise with Electronic Health Records or unstructured data analysis
• Expert data scientist with demonstrable capability building traditional AI/ML models
  • Supervised Learning:
    Linear/logistic regression, decision trees, random forests, gradient boosting (XGBoost, LightGBM, Cat Boost), 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 (Word2
    
    Vec, Glo Ve),…