Data Science Internship Opportunity

6 days ago


New York, New York, United States Capital One Services, LLC Full time
About the Role

Capital One is seeking a highly skilled Data Science PhD Intern to join our team. As a Data Scientist at Capital One, you will be part of a high-performing team that's embracing the latest in computing technologies to unlock opportunities that help everyday people save money and improve their financial lives.

Key Responsibilities
  • 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
Requirements
  • Currently pursuing a PhD with an expectation that your degree will be obtained by August 2027 or earlier
  • 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
Preferred Qualifications
  • Experience or academic work in inferential statistics
  • Experience or academic work with relational databases
  • Experience or academic work with large scale data analysis
What We Offer

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

Equal Employment Opportunity

Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law.



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