Data Scientist

Sedgwick

Develop and manage predictive modeling assignments for Sedgwick's analytics team. Prepare reports, analyze data, and collaborate with business leaders to gain insights.

Posted 5/7/2026full-timeRemote • Idaho, Louisiana, New York, Texas • 🇺🇸 United StatesSeniorLeadWebsite

About the role

Key responsibilities & impact

To develop and manage predictive modeling assignments through completion; to communicate results; to make recommendations to management; and to ensure model ownership, implementation, and monitoring; to spot trends and to gain maximum insight that can give the company a competitive advantage.
Develops, prepares, and manages predictive models through completion.
Identifies required resources; researches data, procedures, and history for a thorough understanding of project direction.
Collects new data and statistics from multiple sources and generates statistical analysis.
Collaborates with data management team to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues.
Partners with both business and IT leaders to influence how the organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen.
Prepares reports using various system programs and coordinating with other departments.
Develops and trains the data management team on new or updated procedures as needed.

Requirements

What you’ll need

Bachelor's degree from an accredited college or university preferred with major in Business Analytics, Statistics, Mathematics, or Computer Science; SAS certifications preferred.
Eight (8) years of related experience or equivalent combination of education and experience to include five (5) years of statistical modeling experience with solid background in the fundamentals of machine learning and statistics.

Benefits

Comp & perks

Flexible work arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

predictive modelingstatistical analysismachine learningdata managementdata analyticsdata collectionstatistical modelingreport preparationworkflow managementbest practices

Soft Skills

communicationcollaborationbusiness acumenleadershiporganizational skillsproblem-solvingtrend analysisrecommendation makinginfluencetraining

Certifications

SAS certification