Data Scientist (REMOTE) | Nashville, TN, USA

Filled
February 24, 2026

Job Description

Join Sedgwick, a global leader in risk, benefits, and integrated business solutions, and become part of a team dedicated to making a meaningful difference for people facing unexpected challenges. Recognized by Newsweek and certified as a Great Place to Work®, Sedgwick offers a collaborative culture, strong career growth, and work-life balance.

📍 Location: Remote (U.S.) — Based out of Nashville

🔹 Primary Purpose

The Data Scientist will develop, implement, and manage predictive modeling projects end-to-end, communicate insights to stakeholders, and ensure successful deployment and monitoring of models that drive business value and competitive advantage.

🔹 Key Responsibilities

  • Execute data science projects in collaboration with senior leadership and stakeholders
  • Build, prototype, and deploy machine learning models in both sandbox and production environments
  • Develop reports and dashboards to communicate performance metrics and insights
  • Assist in designing and maintaining end-to-end ETL pipelines
  • Explore new internal data sources and evaluate their business utility
  • Present modeling challenges, findings, and recommendations clearly to stakeholders

🔹 Required Qualifications

  • Minimum 1+ year of experience in predictive modeling, data science, or analytics
  • Proficiency in Python or R, including notebook environments
  • Experience with data exploration, wrangling, and feature engineering
  • Knowledge of common supervised and unsupervised machine learning techniques
  • Familiarity with data visualization tools and libraries

🔹 Preferred Qualifications

  • Insurance or claims domain knowledge
  • Experience working with production ML environments
  • Strong problem-solving and communication skills

🔹 Benefits & Perks

  • Career development and advancement opportunities
  • Comprehensive benefits (medical, dental, vision, 401k, PTO, and more)
  • Inclusive and collaborative workplace culture
  • Flexible remote work environment