Data Scientist

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Sedgwick

10,000+ employees

🏢 Enterprise

📋 Compliance

Insurance • Enterprise • Compliance

Sedgwick is a global provider of technology-enabled risk, benefits, and integrated business solutions. They help people and organizations by managing and mitigating risk with solutions in accident, health, disability, unemployment compensation, and liability claims administration, among others. Sedgwick offers services such as claims administration, building consulting, forensic accounting, and forensic engineering. Their specialties include property restoration, brand protection, and loss prevention across several industries, including agriculture, construction, and environmental sectors. The company emphasizes diversity, equity, and inclusion (DEI) as well as environmental, social, and governance (ESG) practices.

📋 Description

• 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. • 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

🎯 Requirements

• Insurance claims knowledge required • Minimum one year of predictive modeling, data science, and analysis experience with solid background in the 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 writing code in Python or R, and notebook environments • Knowledge of common unsupervised/supervised ML techniques

🏖️ Benefits

• A diverse and comprehensive benefits offering including medical, dental vision, 401k, PTO and more

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