[Remote] Principal Data Scientist

Note: The job is a remote job and is open to candidates in USA. Sedgwick is a leading claims management services company dedicated to helping people facing unexpected challenges. They are seeking a Principal Data Scientist to lead the development of advanced statistical and machine learning models that enhance claims outcomes and operational efficiency.

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
• 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 recommend recalibration strategies
• Provide technical guidance to data scientists and analysts across the organization
• Mentor junior team members on statistical methods, machine learning techniques, 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 enterprise governance standards and regulatory expectations
• Contribute to Sedgwick’s broader AI and advanced analytics strategy by identifying emerging technologies and modeling approaches
• Lead research and innovation initiatives that advance Sedgwick’s predictive analytics capabilities

Skills

• 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
• Extensive experience working 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
• Experience collaborating with engineering teams to deploy models into production systems
• Ability to communicate advanced analytical concepts to both technical and non-technical stakeholders
• Demonstrated ability to lead complex analytical initiatives that drive measurable business value
• Strong mentoring and technical leadership capabilities
• Familiarity with distributed data processing tools and modern data platforms preferred
• Experience in insurance, claims management, healthcare, or financial services analytics preferred

Company Overview

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