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Data Scientist Internship Opportunity at Capital One

2 months ago

Richmond, Virginia, United States Capital One Full time
About the Role

We are seeking a highly motivated and talented PhD student to join our Data Science team as an intern. As a Data Scientist Intern, you will have the opportunity to work on real-world projects, collaborate with experienced professionals, and develop your skills in data analysis, machine learning, and data visualization.

Key Responsibilities
  • Evaluate and integrate open-source and internally-developed modeling and analytics tools using real business data.
  • Design and craft data science models to communicate solutions to customers and company leadership.
  • Participate in the development of machine learning, deep learning, or quant initiatives across the enterprise.
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.
About Capital One

Capital One is a leading financial services company that is committed to helping our customers achieve their financial goals. We are a diverse and inclusive organization that values innovation, collaboration, and customer satisfaction.

What We Offer
  • A comprehensive and competitive compensation package.
  • A comprehensive benefits package, including health, financial, and other benefits.
  • The opportunity to work on real-world projects and develop your skills in data analysis, machine learning, and data visualization.
  • A collaborative and dynamic work environment.