Data Scientist

TransUnion•Chicago, IL

1d•Hybrid

About The Position

The Financial Services Analytics team partners with banks, lenders, insurers, and other financial institutions to solve complex business challenges using advanced analytics and TransUnion data assets. The team delivers predictive modeling, risk analytics, fraud solutions, and business intelligence insights that help clients make smarter business decisions and drive measurable outcomes. This role reports to Director of Data Science and Analytics. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Requirements

Master’s degree or PhD in Statistics, Applied Mathematics, Financial Mathematics, Computer Science, Engineering, Operations Research, or another highly quantitative field.
1+ years of experience performing analytics, data science, statistical modeling, or quantitative analysis.
Understanding of U.S. financial services risk management practices and how data-driven insights support business decisions.
Experience within financial services, insurance, fraud, credit risk, digital marketing, or related industries.
Python or R for statistical analysis, predictive modeling, and data science solution development.
SQL for data extraction, transformation, segmentation, and analysis.
Experience working with large datasets and distributed data platforms such as Hive and Spark.
Knowledge of machine learning, predictive analytics, statistical modeling, and business intelligence techniques.

Nice To Haves

Experience working with credit bureau data, credit risk models, or financial services analytics.
Exposure to programming languages such as Java or C/C++.
Experience in client-facing consulting or analytics advisory engagements.
Knowledge of fraud analytics, insurance analytics, or marketing analytics solutions.

Responsibilities

Develop predictive models and advanced analytics solutions for clients across credit risk, fraud, insurance, and marketing use cases.
Lead analytics engagements from project design and development through implementation, validation, and client presentation.
Partner with internal stakeholders, sales teams, and external clients to identify opportunities where data science can create business value.
Conduct descriptive, predictive, and prescriptive analyses to solve complex customer business challenges.
Translate analytical findings into actionable business recommendations and present results to technical and non-technical audiences.
Design, build, and optimize data extraction, segmentation, and statistical analysis processes using large-scale datasets.
Create repeatable analytical frameworks and process improvements that increase efficiency and scalability.
Support business development efforts through project proposals, client presentations, and analytic consulting.

Benefits

medical, dental, and vision coverage
supplemental plan options
Spousal, domestic partner, and other eligible dependent coverage
HSA and FSA accounts
company-paid basic life and AD&D
optional voluntary life and AD&D for you and your family
short- and long-term disability
legal plan
pet insurance
travel accident coverage
adoption assistance
fertility planning coverage
caregiver support
Dependent Care FSA for possibility of an employer match
complimentary Care@Work membership
up to 12 weeks of paid parental leave with eligibility for a thoughtful, gradual return
401(k) with employer match
Employee Stock Purchase Plan (ESPP)
financial wellness resources
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
employee discounts
charitable gift matching
paid volunteer time off
corporate volunteer events
24/7 support including professional therapy, coaching, and emotional well-being programs
guided meditation and resources that support physical, mental, social, and financial wellness