About the Company
Sedgwick is a global risk and claims administration partner serving more than 10,000 clients across 80 countries. With over 33,000 colleagues, the company provides services in claims administration, loss adjusting, benefits administration, and product recall. Sedgwick combines industry expertise with AI-enabled technology to help organizations manage risk and respond to complex challenges.
About the Role
Sedgwick is seeking a Principal Data Scientist to lead advanced statistical modeling and machine learning initiatives that improve claims outcomes, operational efficiency, and risk management. The role involves developing predictive and prescriptive models, establishing modeling standards, and collaborating with AI Engineering teams to integrate analytical solutions into enterprise platforms.
The successful candidate will provide technical leadership, mentor data science professionals, and work with business stakeholders to identify opportunities where advanced analytics can deliver measurable value.
Key Responsibilities
Lead the design and development of statistical and machine learning models for claims outcomes, operational efficiency, and risk management.
Serve as a 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, including adjuster notes, medical records, and policy documentation.
Design modeling approaches using gradient boosting, deep learning, natural language processing (NLP), anomaly detection, and probabilistic modeling.
Partner with AI Engineering teams to productionize models and integrate them into enterprise AI platforms and operational systems.
Develop feature engineering strategies and modeling pipelines using large-scale enterprise datasets.
Establish best practices for model development, experimentation, validation, and reproducibility.
Apply advanced analytical methods, including causal inference, scenario simulation, and risk scoring.
Build and maintain evaluation frameworks to assess model accuracy, bias, stability, and business impact.
Monitor deployed models for drift, performance degradation, and changes in data distributions, recommending recalibration when needed.
Provide technical guidance to data scientists and analysts across the organization.
Mentor junior team members in statistical methods, machine learning, and analytical rigor.
Translate complex analytical findings into 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 can strengthen predictive capabilities.
Ensure analytical methodologies align with enterprise governance standards and regulatory expectations.
Contribute to Sedgwick's AI and advanced analytics strategy by identifying emerging technologies and modeling approaches.
Lead research and innovation initiatives to advance predictive analytics capabilities.
Required Qualifications
Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative discipline.
8–12+ years of experience in data science, statistical modeling, or advanced analytics.
Deep expertise in machine learning algorithms, statistical modeling, and predictive analytics methodologies.
Strong programming skills in Python, R, or similar analytical languages.
Extensive experience working with large, complex datasets in enterprise environments.
Demonstrated experience designing and implementing end-to-end modeling pipelines.
Strong understanding of model validation, feature engineering, and performance evaluation.
Experience collaborating with engineering teams to deploy models into production systems.
Ability to communicate advanced analytical concepts to technical and non-technical stakeholders.
Proven ability to lead complex analytical initiatives that deliver measurable business value.
Strong mentoring, technical leadership, and analytical problem-solving skills.
Preferred Qualifications
Familiarity with distributed data processing tools and modern data platforms.
Experience in insurance, claims management, healthcare, or financial services analytics.
Work Arrangement
Remote position.
Eligible locations listed include Tennessee, Arkansas, Idaho, Nebraska, Missouri, Indiana, Texas, Kentucky, Mississippi, South Carolina, West Virginia, New Mexico, North Carolina, Oklahoma, South Dakota, Alabama, Utah, Iowa, Kansas, Pennsylvania, Michigan, Wisconsin, Georgia, Montana, Arizona, Wyoming, and North Dakota.
Equal Employment Opportunity
Sedgwick is an Equal Opportunity Employer and maintains a drug-free workplace. The company is committed to building a diverse, equitable, and inclusive workplace and encourages candidates to apply even if their experience does not align with every listed qualification.