Data Scientist

Data Scientist at Sedgwick

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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.

Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies

Certified as a Great Place to Work®

Fortune Best Workplaces in Financial Services & Insurance

Primary Purpose of the Role

The primary purpose of the Data Scientist role is to develop and manage predictive modeling assignments through completion, communicate results, and make recommendations to management. This role ensures model ownership, implementation, and monitoring, with a focus on spotting trends and gaining maximum insight to give Sedgwick a competitive advantage.

Are You an Ideal Candidate?

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

Essential Responsibilities May Include

• 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 a 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.

Taking Care of You

• 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
• Problem Solving