Data Scientist

Role Overview

As a Data Scientist at Sedgwick, you will play a crucial role in developing and managing predictive modeling assignments from inception to completion. Your responsibilities will include communicating impactful results and making data-driven recommendations to management. You will ensure the proper ownership, implementation, and continuous monitoring of models to effectively spot trends and gain maximum insight, thereby providing the company with a significant competitive advantage.

Sedgwick is recognized for its exceptional workplace culture, having been honored by Newsweek as one of America’s Greatest Workplaces, certified as a Great Place to Work®, and listed among Fortune’s Best Workplaces in Financial Services & Insurance. Joining Sedgwick means becoming part of a team of 33,000 colleagues globally, dedicated to helping people navigate the unexpected with a caring culture and strong emphasis on work-life balance.

Are You An Ideal Candidate?

We are seeking enthusiastic candidates who thrive in a collaborative environment, are driven to deliver high-quality work, are customer-oriented, and naturally empathetic. If you possess these qualities and are passionate about leveraging data for impact, you'll fit right in.

Essential Responsibilities May Include

• Execute data science projects as identified by Senior Data Scientists, leadership, and stakeholders.
• Help to build, prototype, and deploy machine learning models in both sandbox and production environments.
• Produce comprehensive reports to communicate key metrics and outcomes of stakeholder interest.
• Assist with developing and maintaining robust end-to-end ETL (Extract, Transform, Load) data pipelines.
• Explore new internal data sources and assess their utility within ongoing projects.
• Effectively communicate modeling challenges, findings, and outcomes to various stakeholders.

Qualifications

• Insurance claims knowledge preferred.
• Minimum one year of predictive modeling, data science, and analysis experience.
• Solid background in using data visualization tools and libraries.
• Proficiency in data exploration, data wrangling, and feature engineering.
• Experience writing Python or R code and working within notebook environments.
• Knowledge of common unsupervised and supervised machine learning techniques.

Taking Care Of You

Sedgwick is committed to the growth and well-being of its colleagues, offering:

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

Work Environment Requirements

For this remote Data Scientist role, the work environment requirements include:

• Physical: Computer keyboarding.
• Auditory/Visual: Hearing, vision, and talking.
• Mental: Clear and conceptual thinking ability; excellent judgment and discretion; ability to meet deadlines.

Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. We encourage all qualified candidates to apply, recognizing that a diverse, equitable, and inclusive workplace is built on a unique combination of skills, knowledge, and experience.

About Sedgwick

Sedgwick is the world’s leading risk and claims administration partner, empowering clients to thrive by navigating the unexpected. The company combines deep expertise with advanced AI-enabled technology to set 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 delivers unmatched perspective, compassionate care, and innovative solutions for today's rapidly changing and complex risk landscape. For more information, visit sedgwick.com.

Key skills/competency

• Predictive Modeling
• Machine Learning
• Data Analysis
• Python/R Programming
• ETL Data Pipelines
• Data Visualization
• Feature Engineering
• Stakeholder Communication
• Statistical Analysis
• Problem Solving