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Consultants for various and unanticipated worksites throughout the U.S (HQ: Chicago, IL). Partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added product propositions for business customers in the US and international insurance segments. Lead the development of predictive models and business intelligence solutions for insurance carriers. Manage the Insurance Analytics team’s analytical engagements supporting International Insurance Vertical. Coordinate all analytical efforts to bring a variety of insurance underwriting, rating, application fraud, and other point-of-quote/bind solutions to major international markets including Canada, South Africa, India, Hong Kong, Mexico, and other Latin America countries. Work closely with product and business development counterparts in international insurance markets to support implementation of product “Lift-and-Shift” strategy. Explore internal/external data sources for each market to create innovative new products to be implemented at a variety of insurance carriers. Independently lead data analysis and modeling projects from project design, business review meetings to derive requirements, reception and processing of data, performing analyses and modeling, to final reports/presentations, communication of results, and sales support. Utilize advanced statistical techniques and insurance business knowledge to create high-performing predictive models and creative analyses to address business objectives and client needs. Proactively and effectively communicate in various verbal and written formats with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, and with clients on project/test results, opportunities and questions. Act as an insurance analytics expert on meetings with clients and partner companies. Provide mentorship and training to junior colleagues and maintain progress on all initiatives under minimal direct supervision. Technical environment: Python (numpy, pandas, matplotlib, scikit-learn), R (ggplot2, dplyr, tidymodels, sparklyr), SAS, SQL, Hive, Git, Bash, Tableau, Jupyter Notebook, RStudio, AWS, bias mitigation techniques (BISG/BIRDie/SMD), statistical modeling techniques (linear regression, logistic regression, GLM, neural network, GBM, tree models, cluster analysis, principal components, and feature creating and validation) risk modeling for insurance.

Job Requirement:
Master’s degree in Computer Science, Statistics, Analytics or a related field plus 3 years of experience in statistical modeling and data mining required. Required skills: Python (numpy, pandas, matplotlib, scikit-learn), R (ggplot2, dplyr, tidymodels, sparklyr), SAS, SQL, Hive, Git, Bash, Tableau, Jupyter Notebook, RStudio, AWS, bias mitigation techniques (BISG/BIRDie/SMD), statistical modeling techniques (linear regression, logistic regression, GLM, neural network, GBM, tree models, cluster analysis, principal components, and feature creating and validation) risk modeling for insurance. Telecommuting Permitted.

Benefits & Pay Scale Information:
TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion’s Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans.

The U.S. base salary range for this position is $116,334/yr - $137,700 /yr. annually. Regular, fulltime non-sales positions may be eligible to participate in TransUnion’s annual bonus plan. Certain positions may also be eligible for long-term incentives and other payments based on applicable company guidance and plan documents.

We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.

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