Remote Principal Data Scientist — AI & Analytics Leader

Sedgwick; Grand Rapids (MI); Remote; USD 160,000 - 210,000; Full time

Job summary

Sedgwick is seeking a Principal Data Scientist to lead the design and deployment of advanced statistical and AI models for claims, risk, and operational insights. You will guide modeling in production, work with data across claims notes, medical records, and policy documents, and mentor junior staff.

You will partner with AI engineers to scale models, craft feature pipelines, and establish governance and validation standards to ensure measurable business impact.

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.
• Experience designing and implementing end-to-end modeling pipelines.
• Experience in insurance, claims management, healthcare, or financial services analytics preferred.

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 operational systems.
• Design feature engineering strategies and modeling pipelines using large-scale enterprise datasets.
• Establish best practices for model development, experimentation, validation, and reproducibility.
• Lead advanced analytical techniques such as causal inference, scenario simulation, and risk scoring methodologies.
• Build and maintain model evaluation frameworks that measure accuracy, bias, stability, and business impact.
• Monitor deployed models for drift, degradation, and changing data distributions, and recalibrate as needed.
• Provide technical guidance to data scientists and analysts across the organization.
• Mentor junior team members on statistical methods and analytical rigor.
• Translate complex analytical findings into clear, actionable insights for business leaders and operational teams.
• Collaborate with Claims Operations, Finance, Risk, and IT stakeholders to identify high-impact analytical opportunities.
• Evaluate external data sources and third-party analytical solutions that enhance predictive capabilities.
• Ensure analytical methodologies align with governance standards and regulatory expectations.
• Contribute to Sedgwick’s broader AI and advanced analytics strategy.

Skills

Statistical modeling

Machine learning

Python

R

Data science leadership

Communication with stakeholders

Mentoring

End-to-end modeling pipelines

Education

Master’s or PhD in Data Science/Statistics/Mathematics/CS/Economics

Tools

Python

R

Job description

Sedgwick is seeking a Principal Data Scientist to lead the design and deployment of advanced statistical and AI models for claims, risk, and operational insights. You will guide modeling in production, work with data across claims notes, medical records, and policy documents, and mentor junior staff.

You will partner with AI engineers to scale models, craft feature pipelines, and establish governance and validation standards to ensure measurable business impact.