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Job Details

Associate Data Scientist

Company name
The Hartford Financial Services Group, Inc.

Hartford, CT

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Associate Data Scientist','1800031','!*!The individual will develop and maintain various Auto Insurance work products such as Usage, Vehicle Symbols, Underwriting Report Ordering Optimization, and Auto Class Plan Models. The individual will also assist in development of vital analytical tools that will enable us to better manage and monitor our products. The individual will perform actuarial and statistical analysis to enhance our tools and methods. He/she will assist in developing repeatable processes to support research efforts, in developing statistical and data mining skills across Predictive Analytics, be responsible for peer reviewing others’ work, and participate in project teams (both internal and external to Predictive Analytics) as needed. There will be opportunity for projects both internal and external to the Data Science organization, presentations of completed work product, and the ability to make a difference in products that make it to market. Responsibilities The successful candidate will work on teams where they will: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.Communicate with Predictive Analytics team and business partners.Peer review and evaluate models built by research staff','!*!Technical/Functional Skills:·         Working knowledge of statistical modeling tools 2 years computer programming experience, SAS preferred, R & Python encouragedKnowledge of Hadoop framework encouraged·         Ability to work independently as well as part of a team; builds effective relationships ·         Critical thinkingCompetencies:·         Strong analytical and data manipulation skills, including strong programming experience ·         Knowledge of insurance, and of our data and related systems ·         Good communication skills ·         Ability to builds effective relationships with business partners Strong quantitative skills requiredHigh comfort level with data manipulationCritical thinkingCreativityEducation:·         Degree in statistics, actuarial science, economics, computer science, or other quantitative field required; advanced degree preferred. ·         1 years’ experience in statistical modeling or analysis required; 2-3 years relevant insurance experience (underwriting, product management, product development, actuarial) preferred Strong quantitative skills required Behaviors at the HartfordDeliver Outcomes – Demonstrate a bias for speed and execution that serves our shareholders and customersOperate as a Team Player – Work together to drive solutions for the good of The HartfordBuild Strong Partnerships – Demonstrate integrity and build trust with othersStrive for Excellence – Motivate yourself and others to achieve high standards and continuously improve The Hartford is an Equal Employment Opportunity and Affirmative Action Employer.The Hartford maintains a drug-free workplace. Committed to Building Inclusion and Leveraging Diversity','Data Science','United States-Connecticut-Hartford','','Full-time','Individual Contributor','Bachelor's Degree (±16 years)','Standard','Day Job','Regular','Exempt','Exempt','Yes, 10 % of the Time','Jan 3, 2018','No','No','Associate Data Scientist

Company info

The Hartford Financial Services Group, Inc.
Website :

Company Profile
The Hartford is in business to protect what is most valuable to customers—their homes, cars, businesses, income, and employees. We help individuals and businesses prepare for the unforeseen with insurance and income protection so they can prevail through loss, accident, or disability.

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