Data Scientist

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects. Upon acquiring new business, the DSC owns the remaining phases of the project lifecycle: definition/planning, execution and completion.

The definition/planning and execution phases focus on identifying relationships across data sources to provide insight into the individual and environmental characteristics and factors that drive behaviors and outcomes in the casualty and absence space. Methods include basic descriptive approaches including trending and visualization to advanced causal analysis rooted in statistics and data mining techniques.

The DSC interprets results and presents findings to clients coupled with solutions for preventing or mitigating future exposures in conjunction with product line teams brought into the project as needed and as outlined in the project acquisition process. Skills: Significant knowledge of statistics and data mining methods such as, but not limited to, various forms of regression analysis and decision tree techniques Familiarity with visualizations tools such a Qlik or Tableau Understanding of data warehousing concepts Highly developed communication skills covering report development, presentation, and meeting management Project management Organized and collaborative Self-starter that works well alone as well as in a group Requirements Bachelor’s degree in mathematics, statistics, or related field; Masters or advanced certificate in data analytics preferred.

7-10 years of experience in the data science field; 1-3 years in consulting preferred; 1-3 years in casualty or absence management industry preferred.