Zurich NA *Data Science Specialist in Schaumburg, Illinois

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  • Data Science Specialist**

Description

Zurich (Schaumburg, IL) seeks aData Science Specialistto deliver impact for business partners across multiple lines of business, as part of the Zurich Predictive Analytics Center of Excellence.

Specific responsibilities include: partner with end-users to solve business challenges by applying advanced analytical techniques to complex data sets that deliver financial results; understand and structure business challenges for insight generation; scan broad spectrum of internal and external, structured and unstructured data sources to define the data needed to test the hypotheses; generate distinctive risk insights; utilize financial systems to track budgets and highlight variances (either internal or within vendor contracts); develop simple business cases for defined projects using IT expertise, to determine potential benefits, clarify the rationale for investment and support the planning process; prepare draft manuals based on the accepted changes to IT policies and procedures, continually evaluate key themes in technology, makerecommendations to inform policy and/or product development in IT; identify existing IT assets for new opportunities (e.g. re-use), research best practice and review and analyze detailed business models to support senior management in improving IT processes and systems; act as technical expert in a specific process or product area, conduct process reviews and initiate change in order to contribute to continuous improvement of services to internal customers; provide specialist advice to address specific technical queries from internal clients and design/develop and deliver appropriate solutions; contribute to the delivery of assigned IT projects for specific lines of business, collaborate with IT colleagues as an approach for project / program management; solve internal customer issues or escalate appropriately to manager, internal partners or externalvendors; record and report core metrics, and ensure internal partners and vendors meet defined policies/SLAs (service level agreements) on information management; work with colleagues across the IT function to ensure plans are aligned to functional DR&BC plans and policy. Position requires occasional travel within the U.S. Must be willing to work extended hours during peak periods.

Position requires a Master's degree or foreign equivalent in Computer Science, Statistics, Mathematics, or related STEM field plus 2 years of experience in the job offered or as a senior consultant-Analytics and Research, or similar position.

Specific experience must include 2 years of experience with each of the following: applying data transformation techniques such as exact and probabilistic matching methods; working with fuzzy matching, text mining, and data reduction; working with statistical and predictive modeling techniques such as generalized linear modeling, decision trees, association rules, clustering, regression, machine learning, probability networks, and neural networks; working with programming and data tools, including SAS, R, Python, MATLAB, SQL Server, Hadoop, Hive, and Pig; applying data transformation techniques, including exact and probabilistic matching methods (e.g. fuzzy matching), textmining, and data reduction; transforming data or developing insights for use in business decisions; and sharing recommendations to audiences at varying levels of analytic understanding. Position requires occasional travel within the U.S. Must be willing to work extended hours during peak periods.

Full time position. Apply by submitting your resumes at Zurich.com/en/careers, Job ID: 180005QJ

Primary Location: United States-Illinois-Schaumburg

Schedule Full-time

Travel Yes, 10 % of the Time

Relocation Available No

Job Posting 07/27/18

Unposting Date Ongoing

Req ID: 180005QJ

It is the Policy of Zurich in North America, as an equal opportunity employer, to attract and retain the best-qualified individuals available, without regard to race/ethnicity, color, religion, gender expression, genetic information, national origin, sex, gender identity, sexual orientation, marital status, age, disability or protected veteran status.