The Data Scientist will join TransUnion’s Financial Services Analytics team, which partners 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. This role reports to the Director of Data Science and Analytics and is hybrid, requiring work at an assigned TransUnion office at least two days per week in addition to virtual work. The role partners with internal and external cross-functional teams on new business initiatives and long-term customer solutions. It leads client analytic engagements using descriptive, predictive, and prescriptive analysis, and owns projects from design and development through peer review, client presentation, implementation, and audit. The Data Scientist also identifies opportunities for customers to adopt TransUnion analytic products and services; develops proposals, sales presentations, and promotional materials; and supports Sales and business-unit partners with an analytic perspective. The position designs, writes, and tests programs for data extraction, segmentation, and statistical analysis on large population datasets using tools and languages such as R, Python, SQL, Hive, and Spark, and formalizes some work into repeatable process improvements. It presents concise, compelling insights and recommendations to internal and external audiences and contributes to a high-performance culture that reflects the TransUnion brand.
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Job Type
Full-time
Career Level
Mid Level