Data Science & Analytics Internship

Key Skills

Big Data Technology, Data Analytics, Data science techniques, Java Programming, Microsoft Office suites, Microsoft-Excel, Python Programming, R Programming, SQL

Job Description

What You'll Bring:

• Currently enrolled in a undergraduate or graduate program in statistics, mathematics, engineering, operations research, economics, or a related quantitative field.
• Advanced programming skills in one or more statistical languages, such as R, Python,
• Familiarity with SQL.
• Proficient with Microsoft Excel, and Microsoft PowerPoint.
• Strong analytical, critical thinking & creative problem solving skills.
• Ability to conduct meaningful research with a high degree of independence.
• Familiar with relational databases and “Big Data” technologies.
• Able to communicate effectively at multiple levels within the organization, both verbally and in writing.

Impact You'll Make:

This position will conduct a research project 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, including potentially having direct participation in actual customer projects.

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:

At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation – we’re 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.