Lead Data Scientist, AI & Predictive Analytics

Sedgwick; Missoula (MT); On-site; USD 140,000 - 200,000; Full time

Job summary

Sedgwick seeks a Principal Data Scientist to lead advanced statistical and machine learning modeling efforts across claims outcomes, risk, and operational efficiency. You’ll guide complex initiatives, architect scalable modeling pipelines, and collaborate with AI Engineering to deploy models within enterprise platforms.

The role requires senior-level expertise, with responsibility for validation, experimentation, and translating analytics into actionable insights for business leaders.

Qualifications

• Master’s or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or related quantitative discipline.
• 8-12+ years of experience in data science, statistical modeling, or advanced analytics roles.
• Deep expertise in machine learning algorithms, statistical modeling techniques, and predictive analytics methodologies.
• Strong programming skills in Python, R, or similar analytical languages.

Responsibilities

• Lead the design and development of advanced statistical and machine learning models that improve claims outcomes, operational efficiency, and risk management.
• Serve as the technical authority for complex modeling initiatives including fraud detection, claims severity prediction, litigation risk modeling, and recovery optimization.
• Develop predictive and prescriptive models using structured and unstructured claims data, including adjuster notes, medical records, and policy documentation.
• Architect modeling approaches that leverage modern techniques such as gradient boosting, deep learning, NLP, anomaly detection, and probabilistic modeling.
• Partner with AI Engineering teams to productionize models and integrate them into enterprise AI platforms and operational systems.
• Design feature engineering strategies and modeling pipelines using large-scale enterprise datasets.
• Establish best practices for model development, experimentation, validation, and reproducibility.

Skills

Statistical modeling

Machine learning

Leadership

Mentoring

Communication

Experimental design

Education

Master’s or PhD in Data Science

Tools

Python

R

Distributed data processing

Job description

Sedgwick seeks a Principal Data Scientist to lead advanced statistical and machine learning modeling efforts across claims outcomes, risk, and operational efficiency. You’ll guide complex initiatives, architect scalable modeling pipelines, and collaborate with AI Engineering to deploy models within enterprise platforms.

The role requires senior-level expertise, with responsibility for validation, experimentation, and translating analytics into actionable insights for business leaders.