Current PhD - Data Science Internship - Summer 2027
$176,000–$176,000 year
On-siteChicago, Illinois, United States or New York City, New York, United States
Job Summary
Evaluate open-source and internally-developed modeling and analytics tools using real business data. Integrate internal data with external data sources and APIs to discover and implement actionable insights. Design and craft data science models to communicate solutions to customers and company leadership. Work with your manager to identify a start date upon graduation for a potential full-time position. This ten-week summer program spans June through August 2027, requiring in-person attendance at your assigned location in the continental United States. Candidates must currently hold or be in the process of obtaining a PhD in a quantitative field.
Required Qualifications
- Currently has, or is in the process of obtaining a PhD in one of the following areas with an expectation that the required degree will be obtained by August 2029 or earlier
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
- Must be continuing in the same course of study of your PhD degree following completion of the internship
- At least 6 months experience or academic work using open source programming languages for data analysis
- At least 6 months of experience or academic work using machine learning techniques
- At least 6 months of experience with either Python, R or SQL
- Located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One's hybrid working model, for the duration of the program
Desired Qualifications
- Experience or academic work in inferential statistics
- Experience or academic work with relational databases
- Experience or academic work with large scale data analysis
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