Sr Consultant, Data Science & Analytics

TransUnion's Job Applicant Privacy Notice Team

This semi–individual contributor role operates within the credit risk model lifecycle domain, combining hands-on expertise with leadership

. The position involves leading key projects, providing strategic consulting to clients, and overseeing a small team to ensure high-quality delivery.

focuses on driving operational efficiencies, implementing best practices, and enhancing model development, validation, and governance processes. Strong collaboration, problem-solving, and stakeholder management skills are essential to successfully balance technical execution with team coordination and client engagement. This is a hybrid position and involves regular performance of job

virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

And Core

Sr. Consultant, Data Science and Analytics Job Level: P04 – Sr. Consultant What We’ll Bring • A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile. • Flexible time off, workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars. • Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius. • We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies. • Our Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we’ll appreciate them. What You’ll Bring • Master’s or PhD degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field with at least five (5) years of relevant professional experience; or a Bachelor’s degree in a quantitative field with at least eight (8) years of relevant professional experience. In either case, the candidate will demonstrate a consistent track record of academic excellence. • Worked on Machine Learning & Deep Learning based developments. •