Data Scientist

TransUnion•Chicago, IL
•$67,500 - $112,500•Hybrid

About The Position

The Data Scientist will work on TransUnion’s Financial Services Analytics team, partnering with banks, lenders, insurers, and other financial institutions to address business challenges using advanced analytics and TransUnion data. The team delivers predictive modeling, risk analytics, fraud solutions, and business intelligence insights. The role reports to the Director of Data Science and Analytics and is hybrid, with regular work both virtually and in person at an assigned TransUnion office at least two days per week. The position partners with internal and external cross-functional teams to develop predictive models and business intelligence solutions for customers. It leads client analytic engagements across descriptive, predictive, and prescriptive analysis, taking ownership of projects from design and development through peer review, client presentation, implementation, and audit. The role also identifies opportunities for customers to test and adopt TransUnion products and services, and develops proposals, sales presentations, and promotional materials to support integrated solutions. The Data Scientist writes and tests programs for data extraction, segmentation, and statistical analysis of large datasets using tools such as R, Python, SQL, Hive, and Spark, and helps formalize repeatable process improvements. The role presents analytic insights and recommendations to internal and external audiences and contributes to a high-performance, collaborative culture. Travel of 10–20% is expected.

Requirements

  • Master’s or PhD degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or another highly quantitative field; alternatively, a bachelor’s degree in a quantitative field plus at least three years of relevant professional experience.
  • Consistent track record of academic excellence.
  • At least one year of success in client-facing roles.
  • At least one year of professional experience performing analytic work, preferably in financial services.
  • Strong analytical, critical-thinking, and creative problem-solving skills.
  • Advanced programming aptitude and proficiency with statistical programming tools such as R or Python.
  • Experience with other programming and data-manipulation languages such as SQL, Hive, Spark, C/C++, Java, or Ab Initio.
  • High familiarity with Microsoft Office tools.
  • Ability to communicate effectively with people at multiple organizational levels and outside the organization.
  • Ability to work collaboratively in a fast-paced environment and evidence of initiative-taking.
  • Strong project and time-management skills, including the ability to manage multiple assignments.
  • Interest in client-facing consulting roles and ability to travel 10–20%.

Nice To Haves

  • Ability to operate effectively under modest supervision in a complex, dynamic, matrixed environment.
  • Familiarity with credit bureau data and solutions.
  • Work experience in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing.
  • Demonstrated interest in TransUnion-served industries, for example through relevant internships.

Responsibilities

  • Partner with internal and external cross-functional teams to drive new business initiatives and develop long-term customer solutions.
  • Develop predictive models and business intelligence solutions of moderate scope and complexity for customers across TransUnion-served industries.
  • Lead client engagements involving descriptive, predictive, and prescriptive analysis using multiple analytic techniques.
  • Own project activities from design and development through peer review, client presentation, implementation, and audit.
  • Identify opportunities for customers to test and adopt TransUnion analytic products and services.
  • Develop project proposals, sales presentations, and promotional collateral supporting integrated customer solutions.
  • Work with TransUnion Sales and business-unit partners, providing analytic perspective and support.
  • Design, write, and test programs for data extraction, segmentation, and statistical analysis on large population datasets.
  • Formalize analytic work into repeatable process improvements.
  • Present analytic insights and recommendations clearly and compellingly to internal and external customers.
  • Foster a high-performance culture and an environment that promotes excellence and reflects the TransUnion brand.
  • Travel 10–20%.

Benefits

  • Medical, dental, and vision coverage with day-one eligibility; supplemental plan options and eligible dependent coverage on select plans.
  • Health Savings Account (HSA) and Flexible Spending Account (FSA) options.
  • Company-paid basic life and AD&D insurance; optional voluntary life and AD&D coverage.
  • Short- and long-term disability coverage.
  • Optional legal plan, pet insurance, and travel accident coverage.
  • Adoption assistance, fertility planning coverage, caregiver support, Dependent Care FSA with possible employer match, and Care@Work membership.
  • Up to 12 weeks of paid parental leave, with eligibility for a gradual return.
  • 401(k) with employer match.
  • Employee Stock Purchase Plan (ESPP).
  • Financial wellness resources and career coaching.
  • Optional long-term care insurance.
  • Tuition reimbursement.
  • Flexible time off for exempt employees or paid time off for nonexempt employees.
  • Up to 12 paid holidays per year.
  • Commuter benefits and employee discounts.
  • Charitable gift matching and paid volunteer time off, including corporate volunteer events.
  • 24/7 professional therapy, coaching, emotional well-being programs, guided meditation, and physical, mental, social, and financial wellness resources.
  • Annual bonus plan eligibility may apply to regular, full-time non-sales positions; certain positions may also be eligible for long-term incentives and other payments.
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