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Generalist data science role, metro location, and broad skillset requirements drive high applicant competition.
Domain-specific credit risk experience preferred, but core data skills are transferable across industries.
Requires a quantitative degree and specific tool expertise but minimal experience, so filters are moderately strict.
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Develop and deploy predictive models and business intelligence solutions for diverse TransUnion clients across industries.
Translate data science analyses into shareable tools such as packages, libraries, or workflows to benefit the organization.
Present analytical results and insights to internal and external stakeholders, supporting product development and consultancy efforts.
Bachelor's, Master's, or PhD in statistics, applied mathematics, financial mathematics, engineering, operations research, or a related quantitative field.
1-2 years professional experience in analytics within financial services, insurance, digital marketing, or related sectors.
Proficiency in R or Python programming, SQL, Linux, and Microsoft Office tools.
Hybrid work mode requiring minimum 2 in-office days per week at assigned TransUnion location.
Experience working on analytical projects in credit risk or related financial analytics environments.
Ability to independently manage workload and progress projects with limited supervision, multitask effectively under deadlines.
Strong communication skills to engage with diverse audiences including clients and senior management, producing required documentation and presentations.