The Data Scientist will work on TransUnion’s Financial Services Analytics team, partnering with banks, lenders, insurers, and other financial institutions to address business challenges using advanced analytics and TransUnion data. The team delivers predictive modeling, risk analytics, fraud solutions, and business intelligence insights. The role reports to the Director of Data Science and Analytics and is hybrid, with regular work both virtually and in person at an assigned TransUnion office at least two days per week. The position partners with internal and external cross-functional teams to develop predictive models and business intelligence solutions for customers. It leads client analytic engagements across descriptive, predictive, and prescriptive analysis, taking ownership of projects from design and development through peer review, client presentation, implementation, and audit. The role also identifies opportunities for customers to test and adopt TransUnion products and services, and develops proposals, sales presentations, and promotional materials to support integrated solutions. The Data Scientist writes and tests programs for data extraction, segmentation, and statistical analysis of large datasets using tools such as R, Python, SQL, Hive, and Spark, and helps formalize repeatable process improvements. The role presents analytic insights and recommendations to internal and external audiences and contributes to a high-performance, collaborative culture. Travel of 10–20% is expected.
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Job Type
Full-time
Career Level
Mid Level