Data Science and Analytics Internship
What You'll Bring:
- Currently enrolled in a competitive program in pursuit of a undergraduate (currently a junior or senior) or graduate degree in statistics, mathematics, engineering, operations research, economics, or a related quantitative field.
- Strong analytical, critical thinking & creative problem solving skills.
- 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.
- Highly proficient with Microsoft Excel, and Microsoft PowerPoint.
- Familiar with relational databases and “Big Data” technologies.
- Able to communicate effectively at multiple levels within the organization, both verbally and in writing.
- Demonstrated interest in applications of analytic methods in the financial services and insurance industries strongly preferred.
Impact You'll Make:
This position will conduct a research project, either independently or as part of a team, under the supervision of a senior member of the Data Science & Analytics team. The project scope will be designed to be achievable within the expected duration and total number of hours of the internship. At the conclusion of the project, the supervisor will conduct an assessment of the quality, completeness, and usefulness of the work. Executing the project will provide the incumbent with the opportunity to gain practical knowledge of analytic applications in industries utilizing consumer credit data.
- Review the proposed research topic and generate a problem solving methodology in collaboration with the supervisor. The proposed methodology should either demonstrate a technique not commonly used by the department or a substantial process improvement to a commonly used method.
- Independently manage the chosen project and provide the 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 to produce findings.
- Carefully document all sources and research findings. Prepare a summary of findings in an internal white paper for senior management.
- Present summary of findings to research sponsors. Conduct training for other Associates as appropriate.
- Provide support for Data Science & Analytics projects beyond the scope of the research project, as needs arise.
What We'll Bring:
TransUnion, a leading risk information solutions company and one of the three major U.S. credit bureaus, is seeking both undergraduate and graduate level interns to join various functions in TransUnion’s core analytical group for the duration of the summer in 2021. This is a full time, 10-week program in which you will act as an extension of our team. You will have the opportunity to apply your statistical modeling skills to help solve real problems for a variety of industries such as financial services and insurance. Potential internship start dates are 06/07/2021 and 06/14/2021, and internship end dates are 08/13/2021 and 08/20/2021.
The Data Science and Analytics team is an industry recognized, client-facing department that rewards an entrepreneurial spirit. We have deep technical expertise and an established reputation as an analytic solutions provider in the Financial Services and Insurance industries. We have a wealth of data and industry experience within our large group of highly-trained analysts, statisticians, engineers, and economists. We also have a modern computing environment based on best-in-class “big data” technologies and the freedom to explore new data sources and statistical methodologies. All of these resources will enable you to help us deliver next-generation analytic solutions for our customers.
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.