Senior Data Science & AI Consultant

TransUnion

Chicago (IL)

Hybrid

USD 113,000 - 188,000

Full time

6 days ago
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Benefits offered by this job

Medical, dental, and vision coverage
Life and AD&D insurance
Disability insurance
Parental leave
401(k) with employer match

Job summary

TransUnion seeks a senior advisor to lead analytics and AI-enabled consulting engagements within the Financial Services Consulting team. This hybrid role combines remote work with in-person office presence two days a week.

You will guide model development, evaluation, and deployment readiness, while shaping reusable analytics assets and governance practices. Collaboration with Sales, Product, and Technology is essential to deliver data-driven client value.

Qualifications

  • Advanced programming and applied AI/ML skills with Python or R.
  • Experience with cloud analytics environments and distributed data platforms.
  • Strong knowledge of machine learning frameworks.

Responsibilities

  • Lead analytic and AI-enabled consulting engagements from opportunity shaping to deployment readiness.
  • Provide hands-on guidance across ML, generative AI, LLMs, MLOps, governance and model evaluation.
  • Own analytic responsibilities for assigned clients, coordinating with Sales, Product and Technology teams.
  • Deliver concise, compelling presentations of insights, model considerations, risks, and recommendations.
  • Mentor junior colleagues and foster an inclusive, high-performance culture.

Skills

Python
R
SQL
Cloud analytics
Distributed data platforms
ML frameworks

Education

Master’s or PhD in statistics / quantitative field

Tools

Git

Job description

TransUnion seeks a senior advisor to lead analytics and AI-enabled consulting engagements within the Financial Services Consulting team. This hybrid role combines remote work with in-person office presence two days a week.

You will guide model development, evaluation, and deployment readiness, while shaping reusable analytics assets and governance practices. Collaboration with Sales, Product, and Technology is essential to deliver data-driven client value.

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