Evaluating large and complex data sets for the purpose of correlative and causal pattern discovery, trend driver analysis, predictive modeling, and financial forecasting; Developing programming solutions to address unique situational needs, calling upon a diverse array of analytics methods and programming languages; Build dashboards and exhibits that monitor key metrics and derive insights for a wide range of audiences; Collaborate closely with and provide analytical guidance to Lockton consulting teams: strategic, clinical, pharmacy, account service, etc; Responsible for accurate and thorough documentation of product/components; Requirement clarification, design, and implementation for software product/solution releases
Requirements:
2+ years of relevant data analytics programming and/or insurance company experience, and an understanding of risk and insurance; Experience developing Machine Learning models and Predictive Analytics algorithms; Bachelor’s or master’s in data science, computer science, operations research, statistics, actuarial mathematics, applied mathematics, or a related quantitative field; Ability to manage/maintain large data sets and process through various software, applications, and programming languages: Excel, PowerBI, PowerQuery, SQL, R, Python, SAS, etc
Text:
Data Scientist Evaluating large and complex data sets for the purpose of correlative and causal pattern discovery, trend driver analysis, predictive modeling, and financial forecasting; Developing programming solutions to address unique situational needs, calling upon a diverse array of analytics methods and programming languages; Build dashboards and exhibits that monitor key metrics and derive insights for a wide range of audiences; Collaborate closely with and provide analytical guidance to Lockton consulting teams: strategic, clinical, pharmacy, account service, etc; Responsible for accurate and thorough documentation of product/components; Requirement clarification, design, and implementation for software product/solution releases 2+ years of relevant data analytics programming and/or insurance company experience, and an understanding of risk and insurance; Experience developing Machine Learning models and Predictive Analytics algorithms; Bachelor’s or master’s in data science, computer science, operations research, statistics, actuarial mathematics, applied mathematics, or a related quantitative field; Ability to manage/maintain large data sets and process through various software, applications, and programming languages: Excel, PowerBI, PowerQuery, SQL, R, Python, SAS, etc
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