TransUnion's Job Applicant Privacy Notice
What We'll Bring:
What we’ll bring:
• A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile.
• Flexible time off, workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars.
• Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius.
What You'll Bring:
What you’ll bring:
- Ph.D. or master’s degree in computer science, electrical engineering, physics, mathematics, statistics, or other quantitative discipline.
- In-depth knowledge of machine learning tools and techniques such as neural networks, decision trees, support vector machines, genetic algorithms, logistic regression, clustering, variable selection, etc.
- Knowledge of some combination of C/C++, Python, R, or other general-purpose programming languages.
- Experience working with large, real-word data sets.
- Unix/Linux commandline.
- Familiarity with relational database design and concepts.
What we’d prefer to see:
- Research and publication history in peer-reviewed scientific or technical journals and conferences.
- Previous experience doing predictive analytics in banking and finance, healthcare, gaming, telco, marketing, or other industry.
- Experience with generative AI, Large Language Models (LLMs), deep neural nets, and reinforcement learning.
Impact You'll Make:
Impact you’ll make:
- You’ll design and implement machine learning algorithms for real-world predictive analytics in a production environment
- You’ll leverage our in-house “Big Data” to build predictive models on computing clusters with hundreds of nodes and massive volumes of data
- You’ll design and write programs for data extraction, segmentation and statistical analysis on large population datasets using proprietary parallel computing platforms.
- You’ll deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
- You’ll provide mentorship and training to junior colleagues and maintain progress on all initiatives under limited direct supervision.
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.
TransUnion Job Title
Sr Developer, Data Science and Analytics
Top Skills
What the Team is Saying
What We Do
TransUnion is a global information and insights company that makes trust possible by ensuring that each consumer is reliably and safely represented in the marketplace.
We do this by having an accurate and comprehensive picture of each person.
This picture is grounded in our legacy as a credit reporting agency which enables us to tap into both credit and public record data; our data fusion methodology that helps us link, match and tap into the awesome combined power of that data; and our knowledgeable and passionate team, who stewards the information with expertise, and in accordance with local legislation around the world.
Because of our work, organizations can better understand consumers in order to make more informed decisions, and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve.
We make trust possible, so businesses and consumers can transact with confidence and achieve great things. We call this Information for Good®—it’s our purpose, and what drives us every day.
Why Work With Us
Our culture is welcoming, energetic and innovative. There’s an overall synergy that flows throughout TransUnion, creating a sense of unity in knowing that we’re all working to achieve the same overall goal. We’re dedicated to providing opportunities for our people to get involved and stay connected with their colleagues across the globe.
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TransUnion Teams
TransUnion Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
