Design and deploy predictive and lookalike models using large-scale consumer data; build ETL pipelines and analytics workflows; partner with stakeholders and clients to translate business needs into scalable models; monitor model performance and support deployment; generate actionable insights and executive-level recommendations.
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Team Overview
The Global Data & Analytics (GDA) team at TransUnion delivers advanced analytics, data science, and AI-driven solutions that power marketing, risk, and decisioning products across global markets. The team works on large-scale consumer data assets to build predictive models and actionable insights that enable clients to make smarter business decisions.This team typically operates within the broader Data Science & Analytics (DSA) function, partnering closely with cross-functional business, product, and client teams to translate analytics into measurable business impact. 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.
Role Overview And Core Responsibilities
- Design and develop predictive and audience (lookalike) models leveraging TransUnion’s proprietary data assets to support client acquisition, targeting, and engagement strategies
- Partner with internal stakeholders and external clients (e.g., media agencies, retailers, data platforms) to understand business needs and translate them into scalable analytics solutions
- Build and execute descriptive, predictive, and prescriptive analytics use cases using techniques such as regression, clustering, segmentation, and ensemble models
- Develop and maintain data pipelines, scripts, and workflows for large-scale data extraction, transformation, and analysis using Python, R, SQL, and Spark
- Generate actionable insights from transactional and demographic datasets, translating findings into clear business recommendations and executive-level presentations
- Contribute to the end-to-end analytics lifecycle—from problem definition and model development to deployment support and performance monitoring
- Identify opportunities to enhance product value propositions and drive adoption of TransUnion’s analytics offerings across customer segments
- Collaborate in a fast-paced, matrixed environment to deliver multiple concurrent projects with measurable outcomes on time and with high quality
- Foster a high-performance, collaborative team culture aligned with TransUnion’s values and analytics excellence
Required Knowledge and Experiences (1–5 bullets)
- Financial Services / Credit Risk / Marketing Analytics domain knowledge – Enables effective interpretation of consumer data and development of relevant, high-impact analytic solutions aligned to industry use cases [Updated -...2021-FINAL | Word]
- Statistical and machine learning techniques (e.g., regression, clustering, ensemble models) – Required to design and implement robust predictive models that drive measurable business outcomes
- Experience working with large-scale (big data) environments – Critical for handling high-volume datasets and building scalable, production-ready analytical solutions
- 2+ years of analytics experience (including internships) in financial services or related industries – Ensures familiarity with real-world data challenges, stakeholder expectations, and delivery rigor
- Bachelor’s degree in a quantitative field (Statistics, Mathematics, Engineering, Operations Research, etc.) or equivalent experience – Provides the foundational analytical and problem-solving capability required for the role
Required Knowledge And Experiences
We’re also looking for preferred skills
- Familiarity with credit bureau data and marketing/targeting use cases – Accelerates understanding of TransUnion’s core data assets and products
- Exposure to AI/GenAI tools and AI agent workflows – Helps drive innovation and productivity in analytics delivery
- Advanced proficiency in programming and data engineering practices – Enhances scalability and efficiency of analytical solutions
- Experience working in a global, matrixed organization – Supports effective collaboration across geographies and stakeholders
- Ability to operate with moderate supervision in complex environments – Enables faster ramp-up and independent delivery
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 Job Title
Sr Analyst, Data Science and Analytics
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