Job Description :
Job title: Sr. Data Scientist with Actuarial experience
Location: Chicago, IL
Duration : 6-12 months


Position Summary:
We are currently looking for an exceptional Senior Data Scientist with actuarial experience to play a pivotal role in the creation and deployment of information products. Who will manages and is responsible for the successful delivery of the algorithms, statistical models and reporting tools to meet business needs.

Actuarial Experience is a MUST HAVE - Simple Data Scientist resume will not work

Skills:
Develop complex algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
Perform analyses of structured and unstructured data to solve multiple and complex business problems utilizing advanced statistical techniques and mathematical analyses and specialized expertise in the organization and/or industry.
Apply analytical rigor & statistical methods to analyze large amounts of data, using advanced statistical techniques.
Manage large & complex analytical projects: data exploration, model building, performance evaluation & testing.
Behaves as mentor to junior team members to provide technical advice.
Collaborate w/business partners to develop technical/business approaches and new/enhanced technical tools.
Interacts with internal and external peers and management to share highly complex information related to areas of expertise and/or to gain acceptance of new or enhanced technology / business solutions
Experience and Education:
5-7 years related experience; deep knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources.
Actuarial experience with a minimum of 1 year concentrated in industry experience (Preferably has life insurance experience a BIG PLUS
Consumer analytics including experience with customer segmentation a plus.
Demonstrates proficiency in all areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and advanced in-depth specialization in some areas
Experience in SAS or SQL programming languages.
Experience with big data technologies such as Python, R, Hadoop, and Tableau.
Demonstrated ability to communicate technical ideas and results to non-technical clients in written and verbal form.
Strong organizational and leadership skills; excellent analytical and problem solving skills
Master''s Degree preferred
Industry: Preferably has life insurance experience a BIG PLUS
             

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