Remote Principal Data Scientist - ML & Analytics Leader

Sedgwick; Erie (Erie County); Remote; USD 140,000 - 210,000; Full time

Job summary

Sedgwick is seeking a Principal Data Scientist to lead advanced analytics initiatives across claims, risk and operations. You will architect models, guide data science teams, and translate insights for executive stakeholders in a remote-capable role.

Ideal candidates bring 8-12+ years of experience, strong ML and statistics background, and a track record of deploying models to production while mentoring others.

Qualifications

• Master's or PhD in Data Science, Statistics, Mathematics, CS, Economics or related field.
• 8-12+ years in data science, statistics or advanced analytics roles.
• Deep expertise in ML algorithms, statistical modeling, and predictive analytics.
• Strong programming skills in Python, R, or similar languages.
• Experience with large, complex datasets in enterprise environments.
• Proven ability to design end-to-end modeling pipelines.
• Experience deploying models into production systems.
• Ability to communicate complex analytics to technical and non-technical stakeholders.
• Demonstrated leadership and mentoring capabilities.

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 data from claims, medical records, and policy documents.
• Architect modeling approaches using 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.
• Design feature engineering strategies and modeling pipelines using large-scale datasets.
• Establish best practices for model development, experimentation, validation and reproducibility.
• Lead analytical techniques such as causal inference, scenario simulation, and risk scoring.
• Build and maintain model evaluation frameworks measuring accuracy, bias, stability and impact.
• Monitor deployed models for drift and changing data distributions; recommend recalibration strategies.
• Provide technical guidance to data scientists and analysts across the organization.
• Mentor junior team members on statistical methods, ML techniques and analytical rigor.
• Translate analytical findings into clear, actionable insights for leaders and operations.
• Collaborate with Claims Operations, Finance, Risk and IT to identify high-impact opportunities.
• Evaluate external data sources and third-party solutions to enhance predictive capabilities.
• Ensure methodologies align with governance and regulatory expectations.
• Contribute to Sedgwick's broader AI strategy by identifying emergent technologies.
• Lead research and innovation to advance predictive analytics capabilities.

Skills

Python

R

Data Science

Machine Learning

Statistics

Leadership

Mentoring

Communication

Education

Master's or PhD in Data Science

Tools

Python

R

Job description

Sedgwick is seeking a Principal Data Scientist to lead advanced analytics initiatives across claims, risk and operations. You will architect models, guide data science teams, and translate insights for executive stakeholders in a remote-capable role.

Ideal candidates bring 8-12+ years of experience, strong ML and statistics background, and a track record of deploying models to production while mentoring others.