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Sedgwick is looking to develop and manage predictive modeling assignments to gain maximum insight and give the company a competitive advantage

Requirements

• 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 common unsupervised/supervised ML techniques
• Insurance claims knowledge preferred

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

Other

• Bachelor's degree or higher (not explicitly mentioned but implied)
• Career development and promotional growth opportunities
• A diverse and comprehensive benefits offering including medical, dental vision, 401k, PTO and more
• Physical: Computer keyboarding
• Auditory/visual: Hearing, vision and talking
• Mental: Clear and conceptual thinking ability; excellent judgement and discretion; ability to meet deadlines