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Data Scientist

Job

Sedgwick

Charleston, SC (In Person)

Full-Time

Posted 2 days ago (Updated 4 hours ago) • Actively hiring

Expires 6/8/2026

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Job Description

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve. Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies Certified as a Great Place to Work® Fortune Best Workplaces in Financial Services & Insurance Data Scientist
  • PRIMARY PURPOSE OF THE ROLE
  • 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.
  • ESSENTIAL RESPONSIBILITIES MAY INCLUDE
  • + 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.
  • QUALIFICATION
  • 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.
WORK ENVIRONMENT
When applicable and appropriate, consideration will be given to reasonable accommodations.
Mental:
Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines
Physical:
Computer keyboarding, travel as required
Auditory/Visual:
Hearing, vision and talking The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time. Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
  • If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.
  • Sedgwick is the world's leading risk and claims administration partner, which helps clients thrive by navigating the unexpected.
The company's expertise, combined with the most advanced AI-enabled technology available, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall. With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for the rapidly changing and complex risk landscape. For more, see
  • sedgwick.com

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