Staff Data Scientist

Staff Data Scientist

This role reports into a Senior Manager of Data Science & Analytics, joining the Financial Services Consulting team. The Financial Services Consulting team at TransUnion is an industry recognized, client-facing department that rewards an entrepreneurial spirit. We have deep technical expertise and an established reputation as an analytic solutions provider in the Financial Services industry.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Role Overview and Core Responsibilities

• Analytics & AI Consulting Delivery - Lead complex analytic and AI-enabled consulting engagements from opportunity shaping through solution design, model development, evaluation, deployment readiness, and ongoing monitoring. Translate client needs into practical, scalable solutions that deliver measurable business value.
• Technical Leadership & Modern AI/ML - Provide hands-on guidance across machine learning, statistical modeling, generative AI, large language models, retrieval-augmented generation, agentic workflows, model evaluation, MLOps, monitoring, and responsible AI/model governance. Help formalize reusable assets, documentation standards, and repeatable delivery practices.
• Client & Commercial Impact - Own analytic consulting responsibilities for assigned clients, identify strategies and opportunities to test and adopt TransUnion analytic products and services, and partner with Sales, Product, Technology, and vertical support teams to shape differentiated, data-driven recommendations.
• Insight Communication - Deliver analytic insights, model considerations, risks, and recommendations in concise and compelling presentations for internal and external stakeholders across a range of technical and business backgrounds.
• Research, Innovation & Process Improvement - Contribute to research and innovation initiatives in collaboration with DSA peers and cross-functional partners, including applied AI, responsible AI, experimentation, and emerging analytic techniques. Identify opportunities to improve quality, efficiency, governance, and scalability of analytic delivery.
• Peer Leadership & Team Development - Mentor, coach,