Senior Data Scientist: ML Modeling & Data Strategy

Sedgwick; Tennessee; On-site; USD 120,000 - 180,000; Full time

Job summary

Sedgwick, a leading risk and claims management firm, seeks a Senior Data Scientist to partner with stakeholders and drive advanced analytics initiatives. You will design data models, develop predictive models, and deliver actionable insights to inform business decisions.

The role emphasizes production ML, ETL pipelines, data exploration, and mentorship within a collaborative environment. A quantitative advanced degree and extensive modeling experience are required.

Qualifications

• Master's or PhD in a quantitative field (stats, math, CS, data science) preferred.
• 10+ years of related experience, including 3+ years in predictive modeling, data science, and analysis with data visualization, data wrangling, and feature engineering.
• Healthcare data experience preferred.

Responsibilities

• Builds, prototypes, and deploys machine learning models in production environments.
• Collaborates with product, technology, and other stakeholders to identify and scope data science projects.
• Communicates modeling challenges, findings, and outcomes to technical and non-technical stakeholders.
• Designs and implements end-to-end ETL data pipelines integrating data from multiple sources.
• Explores new internal and external data sources and assesses their commercial benefit.
• Mentors team members and serves as a subject matter expert in cross-functional discussions.

Skills

Python or R coding

Model review & critique

Data visualization

Data wrangling & feature engineering

ML techniques (supervised/unsupervised

SQL proficiency

Communication skills

Microsoft Office

Analytical thinking

Team collaboration

Education

Master's or PhD in statistics / mathematics / CS / data science

Tools

Python

R

SQL

Job description

Sedgwick, a leading risk and claims management firm, seeks a Senior Data Scientist to partner with stakeholders and drive advanced analytics initiatives. You will design data models, develop predictive models, and deliver actionable insights to inform business decisions.

The role emphasizes production ML, ETL pipelines, data exploration, and mentorship within a collaborative environment. A quantitative advanced degree and extensive modeling experience are required.