Remote Principal Data Scientist - Driving ML Impact

Sedgwick; Milwaukee (WI); On-site; USD 170,000 - 210,000; Full time

Job summary

Sedgwick, a global leader in risk and claims solutions, is hiring a Principal Data Scientist for remote work in the United States. You will design and deploy advanced statistical and machine learning models to improve claims outcomes, efficiency, and risk, guiding teams across the organization.

The role requires 8–12+ years in data science, a strong background in ML and analytics, and experience deploying models into production environments. Sedgwick emphasizes innovation and collaboration.

Qualifications

• Master's or PhD in Data Science, Statistics, Mathematics, CS, 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.
• Extensive experience with large, complex datasets in enterprise environments.
• Proven experience designing and implementing end-to-end modeling pipelines.
• Strong understanding of model validation, feature engineering, and performance evaluation techniques.

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 leveraging 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 systems.
• Design feature engineering strategies and modeling pipelines using large-scale enterprise datasets.

Skills

Statistical modeling

Machine learning

Leadership

Python

R

Communication

Education

Master's or PhD in Data Science/Statistics/CS

Tools

Python

R

SQL

Spark

Git

Job description

Sedgwick, a global leader in risk and claims solutions, is hiring a Principal Data Scientist for remote work in the United States. You will design and deploy advanced statistical and machine learning models to improve claims outcomes, efficiency, and risk, guiding teams across the organization.

The role requires 8–12+ years in data science, a strong background in ML and analytics, and experience deploying models into production environments. Sedgwick emphasizes innovation and collaboration.