Senior Data Scientist: ML & Production Analytics

Sedgwick Claims Management Services Ltd; Tennessee; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Sedgwick, a leading risk and claims partner, seeks a Senior Data Scientist to identify, scope, and execute analytics projects, design data models, and share insights to inform decisions.

Build production ML models and end-to-end ETL pipelines, integrate data from multiple sources, and mentor teammates. The role emphasizes reproducible coding, clear communication, and measurable business impact in healthcare and financial services. Collaboration with cross-functional teams is essential.

Qualifications

• Master's degree or Ph.D. in statistics, mathematics, computer science, data science, economics, or related quantitative field.
• Ten (10) years of related experience including three (3) years of predictive modeling, data science and analytics with data wrangling and feature engineering.
• Experience with natural language processing and healthcare data preferred.

Responsibilities

• Build and deploy machine learning models in production.
• Collaborate with product and technology teams to scope data science projects.
• Communicate modeling results to technical and non-technical stakeholders.
• Design end-to-end ETL (extract, transform, load) pipelines integrating data from multiple data sources.
• Explore new data sources and assess their commercial value.
• Mentor teammates and serve as a subject matter expert in cross-functional discussions.

Skills

Python

R

Data Visualization

SQL

NLP

ETL

ML

Communication

Education

Master's degree or Ph.D. in a quantitative field

Tools

Python

R

SQL

Job description

Sedgwick, a leading risk and claims partner, seeks a Senior Data Scientist to identify, scope, and execute analytics projects, design data models, and share insights to inform decisions.

Build production ML models and end-to-end ETL pipelines, integrate data from multiple sources, and mentor teammates. The role emphasizes reproducible coding, clear communication, and measurable business impact in healthcare and financial services. Collaboration with cross-functional teams is essential.