Top AI & Machine Learning Jobs in Chicago, IL

Develop predictive risk management and business intelligence solutions for financial services clients. Lead descriptive, predictive, and prescriptive analytics using large datasets and statistical techniques. Program in R, Python, and SQL, present insights to executives and customers, support proposals and product adoption, and mentor junior colleagues. The role is hybrid and requires approximately 10% to 20% travel.

Support model risk governance by maintaining policies, documentation, inventories, validation plans, training, and stakeholder communications. Develop statistical programs and analytical solutions using R, Python, SQL, Hive, Spark, and cloud platforms to analyze large datasets and support credit risk and business intelligence consulting engagements.

Lead exploratory AI research and innovation initiatives, evaluating emerging techniques such as neuro-symbolic AI, causal AI, agentic AI, reasoning systems, and knowledge-enhanced machine learning. Design prototypes, assess capabilities and risks, identify business applications, and collaborate with engineering teams to transition successful concepts into production. Represent TransUnion through publications, patents, and presentations while shaping long-term AI strategy.

Leads client-facing data science engagements for financial services customers, developing predictive risk management and business intelligence solutions across consumer lending. Performs descriptive, predictive, and prescriptive analysis using advanced statistical techniques and large-scale datasets. Programs data extraction and analysis in R, SAS, SQL, Hive, and Pig; presents recommendations to executives and customers; supports sales proposals and product adoption; mentors junior colleagues; and manages multiple initiatives with limited supervision.

Leads complex analytics and AI consulting engagements from opportunity shaping through solution design, model development, validation, deployment readiness, and monitoring. Provides technical leadership across machine learning, generative AI, LLMs, RAG, MLOps, and responsible AI. Partners with clients and internal teams to deliver business value, communicates insights to technical and business stakeholders, contributes to innovation and governance, and mentors junior colleagues. Travel is required 10–20% of the time.

Principal-level senior individual contributor and strategic co-leader for Financial Services Consulting Data Science and Analytics. Drives strategy, operating model design, revenue and capacity planning, analytics consulting delivery, AI and machine learning solution development, product commercialization, data governance, platform stewardship, thought leadership, and talent development. Guides production-grade model pipelines, supports client engagements and sales, and ensures scalable, compliant analytics outcomes across a matrixed organization.