Data Scientist

About Sedgwick

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.

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.

Sedgwick has been recognized as America's Greatest Workplaces National Top Companies by Newsweek, certified as a Great Place to Work®, and listed among Fortune's Best Workplaces in Financial Services & Insurance.

Primary Purpose of the Data Scientist 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.

Are You an Ideal Candidate?

We are looking for enthusiastic candidates who thrive in a collaborative environment, who are driven to deliver great work, are customer-oriented and are naturally empathetic.

Essential Responsibilities

• Execute data science projects as identified by Sr Data Scientists, leadership, and stakeholders
• Help to build, prototype, and deploy machine learning models in sandbox and production environments
• Produce reports to communicate metrics and outcomes of stakeholder interest
• Assist with developing and maintaining end-to-end ETL data pipelines
• Work to explore new internal data sources and their utility within projects
• Communicate modeling challenges, findings, and outcomes to stakeholders

Qualifications

• Insurance claims knowledge preferred
• Minimum one year of predictive modeling, data science, and analysis experience with solid background in using data visualization tools and libraries and data exploration, data wrangling, and feature engineering
• Experience writing Python or R code, and notebook environments
• Knowledge of common unsupervised/supervised ML techniques

Benefits and Perks

• Career development and promotional growth opportunities
• A diverse and comprehensive benefits offering including medical, dental, vision, 401k, PTO, and more

Key Skills/Competency

• Predictive Modeling
• Machine Learning
• Data Analysis
• Python
• R Programming
• ETL Data Pipelines
• Data Visualization
• Feature Engineering
• Stakeholder Communication
• Trend Spotting