Lead Data Scientist, Claims & Risk Modeling

Sedgwick; Owensboro (KY); On-site; USD 120,000 - 160,000; Full time

Job summary

Sedgwick is seeking a Principal Data Scientist to lead the design and development of advanced statistical and machine learning models that improve operational efficiency and risk management. The ideal candidate will have 8-12+ years of experience in data science, a Master's or PhD in a relevant field, and expertise in machine learning and statistical modeling. Responsibilities include mentorship of junior team members, collaboration with various departments, and development of predictive models. This role supports a data-driven approach to decision making in Owensboro, Kentucky.

Qualifications

• 8-12+ years of experience in data science, statistical modeling, or advanced analytics roles.
• Deep expertise in machine learning algorithms and predictive analytics methodologies.
• Extensive experience working with large, complex datasets in enterprise environments.

Responsibilities

• Lead the design and development of advanced statistical and machine learning models.
• Serve as technical authority for complex modeling initiatives.
• Collaborate with stakeholders to identify high-impact analytical opportunities.

Skills

Machine learning algorithms

Statistical modeling techniques

Predictive analytics methodologies

Python programming

R programming

Large dataset manipulation

Model validation

Feature engineering

Performance evaluation techniques

Technical leadership

Education

Master’s or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics

Tools

Distributed data processing tools

Job description

Sedgwick is seeking a Principal Data Scientist to lead the design and development of advanced statistical and machine learning models that improve operational efficiency and risk management. The ideal candidate will have 8-12+ years of experience in data science, a Master's or PhD in a relevant field, and expertise in machine learning and statistical modeling. Responsibilities include mentorship of junior team members, collaboration with various departments, and development of predictive models. This role supports a data-driven approach to decision making in Owensboro, Kentucky.