Job Description

Salary: $112,500 - 187,500 per year Requirements:

• We require a masters or PhD in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or another highly quantitative discipline; a bachelors degree in a quantitative field is also acceptable.
• We require 5+ years of success supporting internal or external clients and 6+ years of professional analytical experience, ideally in industries we serve; these two experiences may overlap or be separate.
• We need advanced programming, data engineering, and applied AI/ML expertise, including proficiency with Python and/or R, SQL, cloud analytics environments, distributed data platforms, and modern machine learning frameworks.
• We expect proven ability to lead complex analytics and AI-enabled solution engagements with limited supervision, including solution design, model development, validation, stakeholder alignment, and delivery coordination.
• We look for leadership behaviors such as self-awareness, learning agility, inclusive collaboration, peer coaching, accountability, change leadership, and the ability to motivate and guide others toward strong team outcomes.
• Ability to travel 10-20% of the time.
• Preferred experience includes generative AI, large language models, retrieval-augmented generation, agentic workflows, model evaluation, MLOps, model monitoring, and responsible AI/model governance.
• Familiarity with credit bureau data, regulated financial services environments, credit risk lifecycle use cases, fraud, insurance, or digital marketing analytics is preferred.
• Experience building reusable analytic assets, documentation standards, governance artifacts, or scalable consulting delivery processes is preferred.
• Prior mentoring, onboarding, recruiting support, or contributions to team culture through feedback, recognition, and inclusive collaboration are preferred.
• We value strong analytical, critical, and creative thinking, along with demonstrated interest in the industries we serve.

• We lead complex analytics and AI-enabled consulting engagements from opportunity shaping through solution design, model development, evaluation, deployment readiness, and ongoing monitoring.
• We translate client needs into practical, scalable solutions that create measurable business value.
• We provide hands-on technical leadership across machine learning, statistical modeling, generative AI, large language models, retrieval-augmented generation, agentic workflows, model evaluation, MLOps, monitoring, and responsible AI/model governance.
• We help create reusable assets, documentation standards, and repeatable delivery practices.
• We own analytic consulting responsibilities for assigned clients and identify opportunities to test and adopt our analytic products and services.
• We partner with Sales, Product, Technology, and vertical support teams to shape differentiated, data-driven recommendations.
• We deliver analytic insights, model considerations, risks, and recommendations through concise presentations for internal and external stakeholders with varied technical and business backgrounds.
• We contribute to research and innovation initiatives with DSA peers and cross-functional partners, including applied AI, responsible AI, experimentation, and emerging analytic techniques.
• We identify opportunities to improve quality, efficiency, governance, and scalability in analytic delivery.
• We mentor, coach, and train junior colleagues and peers by sharing expertise, clarifying expectations, giving constructive feedback, recognizing contributions, and helping foster an inclusive, high-performance culture.
• We perform work in a hybrid arrangement, with responsibilities completed both virtually and in person at an assigned office location at least two days per week.

• AI
• Cloud
• Support
• Machine Learning
• Marketing
• MLOps
• Python
• SQL

More:

We are TransUnion, an industry-recognized, client-facing Financial Services Consulting team with deep technical expertise and a strong reputation as an analytic solutions provider in the financial services industry. This hybrid role reports to a Senior Manager of Data Science & Analytics and combines remote work with in-person collaboration at an assigned office location at least two days a week. We offer a wide range of benefits from day one, including medical, dental, and vision coverage, protection and insurance options, family support, retirement and stock purchase plans, tuition reimbursement, flexible time off or paid time off, paid holidays, commuter benefits, employee discounts, charitable matching, volunteer time off, and wellness resources. We are committed to diversity, inclusion, equal opportunity, and building a culture where people can grow, innovate, and contribute to our Workforce for Good.

last updated 39 week of 2026

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