Data Scientist

TransUnion; Chicago, Northern (IL, KY); Hybrid; USD 68,000 - 113,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) with company match

Paid time off

Job summary

TransUnion in the United States seeks a Sr Analyst, Data Science and Analytics to develop predictive models and analytics solutions for credit risk, fraud, insurance, and marketing use cases.

You will lead analytics engagements from design through implementation, collaborate with sales and clients, and translate insights into actionable business recommendations for both technical and non-technical audiences.

Qualifications

• 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.

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.

Skills

Predictive modeling

Statistical analysis

Project leadership

Client communications

Education

Master’s degree or PhD in a quantitative field

Tools

SQL

Python

R

Hive

Spark

Job description

Role Overview and Core 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.

Required Knowledge and Experiences

• 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.

Required Technical Skills

• 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.

Preferred Skills

• 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.

Benefits That Support Every Part of Your Life

• For Your Health: Enjoy day‑one eligibility for medical, dental, and vision coverage, plus supplemental plan options. Spousal, domestic partner, and other eligible dependent coverage is available on select plans. Choose tax‑advantaged HSA and FSA accounts to make everyday care more affordable.
• For Your Protection: We’ve got your back with company‑paid basic life and AD&D, optional voluntary life and AD&D for you and your family, and short‑and long‑term disability. You can also opt into a legal plan, pet insurance, and travel accident coverage.
• For Your Family: From adoption assistance and fertility planning coverage to caregiver support, we’re here for every chapter. Access Dependent Care FSA for possibility of an employer match, a complimentary Care@Work membership, and up to 12 weeks of paid parental leave with eligibility for a thoughtful, gradual return.
• For Your Future: Build toward what’s next with our 401(k) with employer match and Employee Stock Purchase Plan (ESPP). Tap financial wellness resources, career coaching, and optional long‑term care insurance to plan confidently.
• For You: Grow and recharge with 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, and paid volunteer time off, plus corporate volunteer events that make it easy to give back.
• For Your Wellness: Access 24/7 support including professional therapy, coaching, and emotional well‑being programs alongside guided meditation and resources that support physical, mental, social, and financial wellness.

Diversity and Inclusion

We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.

Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion’s Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting [e-mail].

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.

Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation are also essential expectations of this position.

Pay Scale Information

The U.S. base salary range for this position is $67,500.00 - $112,500 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual’s education, training, work experience, job‑related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non‑sales positions may be eligible to participate in TransUnion’s annual bonus plan. Certain positions may be also eligible for long‑term incentives and other payments based on applicable company guidance and plan documents.

TransUnion Overview

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence. Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting‑edge technology.

TransUnion's Internal Job Title: Sr Analyst, Data Science and Analytics Company: TransUnion LLC

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We do this with a Tru™ picture of each person: an actionable view of consumers, stewarded with care. Through our acquisitions and technology investments we have developed innovative solutions that extend beyond our strong foundation in core credit into areas such as marketing, fraud, risk and advanced analytics. As a result, consumers and businesses can transact with confidence and achieve great things. We call this Information for Good® — and it leads to economic opportunity, great experiences and personal empowerment for millions of people around the world.