Principal Data Science & Analytics Leader, Finance

TransUnion; Chicago (IL); Hybrid; USD 169,000 - 281,000; Full time

Benefits offered by this job

401(k) with employer match

Employee Stock Purchase Plan (ESPP)

Tuition reimbursement

Paid holidays

Job summary

TransUnion is seeking a Principal, Data Science and Analytics to drive multi-year strategy and deliver advanced analytics solutions. This hybrid role partners with Solutions and Sales to commercialize analytics platforms and lead governance across data quality and privacy.

The ideal candidate has 8+ years in data science/analytics, 5+ years in leadership, and an advanced degree in a quantitative field. The role emphasizes thought leadership and cross-functional impact.

Qualifications

• 8+ years of experience in data science, analytics consulting, or related field in Financial Services or adjacent industries.
• 5+ years in leadership roles with enterprise-level scope.
• Demonstrated ability to influence strategy, operations, and commercial outcomes.
• Deep expertise in machine learning, statistical modeling, and AI with experience building and deploying production-grade model pipelines.
• Advanced degree (MS or PhD) in a quantitative discipline.

Responsibilities

• Act as a co-leader and strategic advisor to DSA leadership.
• Guide design and delivery of machine learning, statistical, and AI-driven solutions.
• Define and commercialize analytics products and platforms.
• Lead cross-functional collaboration across data, models, platforms, and delivery.
• Oversee governance of data quality, privacy, and regulatory compliance.
• Mentor senior talent and influence recruiting strategy.

Skills

Strategic leadership

Analytics leadership

Machine learning

AI deployment

Cross-functional collaboration

Education

MS or PhD in quantitative discipline

Job description

TransUnion is seeking a Principal, Data Science and Analytics to drive multi-year strategy and deliver advanced analytics solutions. This hybrid role partners with Solutions and Sales to commercialize analytics platforms and lead governance across data quality and privacy.

The ideal candidate has 8+ years in data science/analytics, 5+ years in leadership, and an advanced degree in a quantitative field. The role emphasizes thought leadership and cross-functional impact.