Remote Principal Data Scientist AI in Claims Analytics

Sedgwick; Jackson (MS); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Remote work

Job summary

Sedigwick, a global leader in risk and claims administration, is seeking a Principal Data Scientist to advance predictive analytics across claims, risk, and operations. You’ll design and deploy ML models, guide teams, and collaborate with engineering to scale solutions enterprise-wide.

You’ll mentor colleagues, translate complex analyses into business insights, and help shape Sedgwick’s AI strategy in a remote-friendly environment.

Qualifications

• Master's or PhD in Data Science, Statistics, Mathematics, CS, Economics, or related field.
• 8–12+ years in data science, statistical modeling, or analytics roles.
• Deep expertise in ML algorithms and predictive analytics.
• Strong programming in Python, R, or similar languages.
• Extensive experience with large, complex enterprise datasets.
• End-to-end modeling pipeline design and implementation.
• Experience deploying models into production with engineering teams.
• Familiarity with distributed data processing tools and data platforms.
• Insurance/claims analytics, healthcare, or financial services familiarity preferred.
• Ability to communicate complex analytics to technical and non-technical stakeholders.
• Demonstrated leadership and mentoring capabilities.

Responsibilities

• Lead design and development of statistical and ML models to improve outcomes and efficiency.
• Serve as technical authority for advanced modeling initiatives (fraud, severity, risk).
• Develop predictive models using structured and unstructured data including notes and records.
• Architect models using gradient boosting, deep learning, NLP, and probabilistic methods.
• Partner with AI engineering to productionize models in enterprise platforms.
• Design feature engineering and data pipelines for large-scale datasets.
• Establish best practices for model development, validation, and reproducibility.
• Lead causal inference, scenario analysis, and risk scoring efforts.
• Build model evaluation frameworks; monitor drift and data distribution changes.
• Provide technical guidance to data scientists and analysts.
• Mentor junior team members on methods and rigor.
• Translate findings into actionable business insights for leaders and ops teams.
• Collaborate with Claims, Finance, Risk, and IT for high-impact opportunities.
• Evaluate external data sources and analytics solutions to enhance capabilities.
• Ensure methodologies align with governance and regulatory standards.
• Contribute to Sedgwick's AI strategy and explore new technologies.

Skills

Data science leadership

8+ years experience

Machine learning

Python & R

Big data

Model deployment

Stakeholder communication

Distributed data processing

Insurance analytics

Mentoring/leadership

Education

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

Advanced quantitative degree

Tools

Spark

Hadoop

SQL

Job description

Sedigwick, a global leader in risk and claims administration, is seeking a Principal Data Scientist to advance predictive analytics across claims, risk, and operations. You’ll design and deploy ML models, guide teams, and collaborate with engineering to scale solutions enterprise-wide.

You’ll mentor colleagues, translate complex analyses into business insights, and help shape Sedgwick’s AI strategy in a remote-friendly environment.