Current PhD - Data Science Internship - Summer 2026
Capital One
Current PhD - Data Science Internship - Summer 2026
Job Description
Overview
Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2026.
Participation in the internship requires that you are 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.
Interns will be evaluated for a full-time position with their team and will work with their manager on identifying a start date upon graduation
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 2028 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
Experience or academic work in inferential statistics
Experience or academic work with relational databases
Experience or academic work with large scale data analysis
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
Intellectually curious. You ask why, you explore, and you are excited to imagine and create new ideas by inventing self-adaptive models or by tapping into unstructured data sources. You love mining data for insights into behaviors, intent and sentiment
A builder. You are passionate about delivering better experiences and better products to our customers and have a deep sense of ownership for your craft.
An experimental scientist. You love putting on your lab coat and trying new things, new combinations of tools, techniques and feature engineering approaches even if you sometimes fail.
A Communicator. You seek to connect with teammates and business partners to share technical ideas that resonate with audience needs across verbal and written channels.
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.comCapital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Locations
- McLean, Virginia, United States
- New York, New York, United States
- San Francisco, California, United States
- Chicago, Illinois, United States
- San Jose, California, United States
- Richmond, Virginia, United States
- Cambridge, Massachusetts, United States
- Plano, Texas McLean, VirginiaMcLean
Salary
45,000 - 80,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Rintermediate
- SQLintermediate
- Machine learning techniquesintermediate
- Open source programming for data analysisintermediate
- Inferential statisticsintermediate
- Relational databasesintermediate
- Large scale data analysisintermediate
Required Qualifications
- Currently pursuing PhD in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or related) (experience)
- Expected PhD completion by August 2028 or earlier (experience)
- Continuing PhD studies after internship (experience)
- At least 6 months experience with open source programming for data analysis (experience)
- At least 6 months experience with machine learning techniques (experience)
- At least 6 months experience with Python, R or SQL (experience)
Responsibilities
- Evaluate open-source and internal modeling tools using business data
- Integrate internal and external data sources/APIs for actionable insights
- Design and craft data science models for customers and leadership
- Support machine learning, deep learning, or quant initiatives
- Mine data for insights into behaviors, intent and sentiment
- Experiment with new tools, techniques and feature engineering
Benefits
- general: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Current PhD - Data Science Internship - Summer 2026 @ Capital One.
Current PhD - Data Science Internship - Summer 2026
Capital One
Current PhD - Data Science Internship - Summer 2026
Job Description
Overview
Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2026.
Participation in the internship requires that you are 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.
Interns will be evaluated for a full-time position with their team and will work with their manager on identifying a start date upon graduation
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 2028 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
Experience or academic work in inferential statistics
Experience or academic work with relational databases
Experience or academic work with large scale data analysis
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
Intellectually curious. You ask why, you explore, and you are excited to imagine and create new ideas by inventing self-adaptive models or by tapping into unstructured data sources. You love mining data for insights into behaviors, intent and sentiment
A builder. You are passionate about delivering better experiences and better products to our customers and have a deep sense of ownership for your craft.
An experimental scientist. You love putting on your lab coat and trying new things, new combinations of tools, techniques and feature engineering approaches even if you sometimes fail.
A Communicator. You seek to connect with teammates and business partners to share technical ideas that resonate with audience needs across verbal and written channels.
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.comCapital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Locations
- McLean, Virginia, United States
- New York, New York, United States
- San Francisco, California, United States
- Chicago, Illinois, United States
- San Jose, California, United States
- Richmond, Virginia, United States
- Cambridge, Massachusetts, United States
- Plano, Texas McLean, VirginiaMcLean
Salary
45,000 - 80,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Rintermediate
- SQLintermediate
- Machine learning techniquesintermediate
- Open source programming for data analysisintermediate
- Inferential statisticsintermediate
- Relational databasesintermediate
- Large scale data analysisintermediate
Required Qualifications
- Currently pursuing PhD in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or related) (experience)
- Expected PhD completion by August 2028 or earlier (experience)
- Continuing PhD studies after internship (experience)
- At least 6 months experience with open source programming for data analysis (experience)
- At least 6 months experience with machine learning techniques (experience)
- At least 6 months experience with Python, R or SQL (experience)
Responsibilities
- Evaluate open-source and internal modeling tools using business data
- Integrate internal and external data sources/APIs for actionable insights
- Design and craft data science models for customers and leadership
- Support machine learning, deep learning, or quant initiatives
- Mine data for insights into behaviors, intent and sentiment
- Experiment with new tools, techniques and feature engineering
Benefits
- general: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Current PhD - Data Science Internship - Summer 2026 @ Capital One.