What We'll Bring

At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation. We are consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius.

Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.

Protecting the health and wellness of our associates and candidates considering a career at TransUnion is our highest priority. In supporting this vision, our recruitment and new hire experience for this role is fully virtual for the time being. Candidates interviewing will get to know our team over the phone and video, and this role will operate virtually upon hire until we return to the office. Even though we’re not physically together right now, our goal is to provide you a supportive candidate and new hire experience that will immerse you in our culture and set you up for success at TransUnion.

What You'll Bring

What You'll Bring:

You come in with 1-2 years of professional statistical modeling experience with solid knowledge of GLM, Machine Learning, and AI.

Advanced proficiency with one or more statistical programming languages such as R or SAS.

Experience writing intermediate SQL queries for data extraction.

Ability to clearly articulate ideas to both technical and non-technical audiences.

Your strong project management and time management skills including the ability to prioritize and contribute to multiple assignments simultaneously, delegating work when necessary, setting clear goals, and managing customer expectations.

You have an advanced degree in fields of quantitative discipline such as Mathematics, Statistics, Engineering, Analytics and other related fields with advanced coursework in statistics.

We’d Love to See: 

Experience in the insurance industry.

Impact You'll Make

Impact You'll Make:

Participates in data analysis and modeling projects from project/sample design, business review meetings, reception and processing of data, performing analyses and modeling to final reports, communication of results and sales support.

Contributes to the development of insurance underwriting, application fraud and other point-of-quote/bind solutions for auto and property lines. Explores internal and external data to create innovative new products to be implemented at a variety of insurance carriers.

Utilizes advanced statistical and machine learning techniques to create high-performing predictive models and creative analyses to address business objectives and client needs.

Contributes ideas and actively participates in the investigation and research of new processes, resources and technologies that can potentially be implemented to provide improved customer solutions or to broaden TransUnion's analytic consulting and related services capabilities.

Follows industry trends in insurance and related data/analytics businesses. Contributes ideas and actively participates in TransUnion’s insurance industry thought leadership research program.

Dig in by extracting data and performing segmentation and statistical analyses on large population datasets (using languages such as R, SAS, SQL, and Python).

Lead small projects and/ or work streams as a part of larger projects; this may involve delegating tasks to other team members and managing the team to meet deliverables on time.

Help to cultivate an environment that promotes excellence, innovation, and a collegial spirit.