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Director - Data Science
The Hartford
Hartford, CT, United States
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Description
The successful candidate will work on initiatives related to next generation pricing and other special models which include: credit modeling, territorial ratemaking, vehicle symbol, usage-based-insurance analytics, class plan development, and other predictive analytics. The individual will perform GLM analysis, and other more advanced modeling methods, to continually enhance our pricing methodologies. They will assist in developing modeling and data mining skills in other Predictive Analytics personnel, be responsible for peer reviewing other’s work, and lead project teams as needed.
The position reports to the Auto AVP in Personal Lines Data Science. The position will require direct or indirect leadership of high-profile research projects from design through conclusions and recommendations, as well as participation in the implementation plan as subject matter expert. The position will also lead training and development of Data Science staff on advanced statistical and data modeling techniques. The position requires the use and understanding of advanced statistical techniques, as well as the ability to partner with business segments to identify opportunities and communicate progress and findings.
Responsibilities:
• Build predictive models using GLM, machine learning and other means, in support of implementation of new rating plans and other initiatives.
• Validate, manipulate and perform exploratory data analysis tasks on analytical data sets. Utilize Hadoop and other Analytic Computing Environments to work with “big data”
• Provide qualitative and quantitative data support to ensure accuracy of characteristics and metrics. Analyze new data sources for availability and quality, and integrate with internal sources to support research or analytics. Build repeatable processes.
• Test and evaluate new software and methodologies.
• Regular communication with Predictive Analytics team and business partners.
• Peer review and evaluate models built by other modelers.
Qualifications
Technical/Functional Skills:
• Advanced knowledge of statistical modeling techniques and tools
• Strong programming experience within R and Python
• Experience with other statistical analysis packages (R, Matlab, SPSS, etc.)
• Experience with handling large datasets in array based query processing (Hadoop, SciDB, etc.)
• Strong understanding of the Personal Lines business and the pricing of related insurance products
• Ability to work independently as well as part of a team; builds effective relationships
• Critical thinking
Competencies:
• Strong analytical and data manipulation skills, including strong programming experience
• Expert knowledge of personal lines insurance business and the pricing of related insurance products
• Ability to lead projects effectively, including direct or indirect management of staff
• Strong communication skills
• Builds effective relationships with business partners
• Contributes creative ideas
• Develops talent and able to influence others
Education:
• Degree in statistics, actuarial science, economics, computer science, or other quantitative field required; advanced degree preferred.
• 5+ years’ experience in statistical modeling or analysis required; 7-10 years relevant insurance experience (underwriting, product management, product development, actuarial) preferred.
• Strong quantitative skills required
• 5+ years computer programming experience
Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age