Data Science & Analytics Internship - Fraud (Summer 2020)
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.
What You'll Bring:
- At least a 3.3 GPA in a graduate program in pursuit of a degree in statistics, mathematics, engineering, operations research, economics, or a related quantitative field
- Ability to conduct meaningful research with a high degree of independence.
- Advanced programming skills in one or more statistical languages, such as R, Python, or SAS.
- Able to communicate effectively at multiple levels within the organization, both verbally and in writing.
What we’d prefer to see:
- Familiarity with relational databases and “Big Data” technologies.
- Demonstrated interest in applications of analytic methods in the financial services and insurance industries strongly preferred.
Impact You'll Make:
- Generate, formally propose, and finalize a research topic in collaboration with the supervisor. Research should either demonstrate a technique not commonly used by the department or a substantial process improvement to a commonly used method.
- Manage the project proactively and prove your supervisor with periodic progress reports.
- Design an appropriate testing environment to measure applicability of the proposed methodology to the needs of the business unit and compare with alternative approaches, as appropriate.
- Create any software code necessary for the use of the proposed methodology.
- Carefully document, prepare and present a summary of data sources and research findings in an internal white paper for senior management.
- Conduct training for other Associates as appropriate.
- Provide support for Data Analytics projects beyond the scope of the research project, as needs arise.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.