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PHD AI/ML Data Scientist

New York, NY · On-site

... highly skilled PhD-trained AI/ML Data Scientist with strong expertise in Python, Artificial ... business challenges. Key Responsibilities • Design, develop, and deploy advanced AI/ML models ...

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How much do phd business jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for phd business in the United States is $22.98, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $24.04 per hour, depending on experience, location, and employer.

What is a PhD in business?

A PhD in Business is the highest academic degree in the field of business studies, focusing on original research, advanced theory, and scholarly analysis. This program is designed for individuals who wish to pursue careers in academia, research, or high-level consultancy. Students typically specialize in areas such as management, finance, marketing, or organizational behavior, and are required to complete a dissertation based on their original research. The degree usually takes 4-6 years to complete and prepares graduates for roles as university professors, researchers, or policy advisors.

What are the key skills and qualifications needed to thrive as a PhD in business?

To thrive with a PhD in Business, you need advanced research skills, a deep understanding of business theory, and expertise in quantitative and qualitative methodologies, usually demonstrated by a completed doctoral degree. Familiarity with statistical analysis software (such as SPSS, SAS, or R), academic publishing platforms, and data visualization tools is typically required. Strong communication, critical thinking, and project management abilities help you stand out when teaching, presenting research, or collaborating with academic and industry peers. These skills and qualities are crucial for producing impactful research, effectively sharing knowledge, and advancing in academic or consulting careers.

What types of career paths are available to someone with a PhD in business, and how do they differ from those with an MBA?

With a PhD in Business, career paths often extend beyond traditional corporate roles to include academic positions such as university professor, business school researcher, or academic administrator. Many PhD graduates also pursue research-intensive roles in think tanks, consulting firms, or governmental organizations. Unlike an MBA, which is typically geared toward management and practical leadership, a PhD focuses on original research, theory development, and teaching, preparing candidates for roles that influence policy, shape business education, or advance industry knowledge. Collaboration with academic peers, mentoring students, and publishing research are common responsibilities in this field.

What is the difference between Phd Business vs Business Analyst?

AspectPhd BusinessBusiness Analyst
Required CredentialsPhD in Business or related fieldBachelor's or Master's in Business, Finance, or related field
Work EnvironmentAcademic, research, or consulting settingsCorporate, finance, or consulting firms
Employer & Industry UsageUniversities, research institutions, consulting firmsCorporations, consulting agencies, financial institutions
Common Search & Comparison IntentAcademic careers, research roles, high-level consultingBusiness process analysis, data-driven decision making

The Phd Business is primarily focused on academic research, teaching, and high-level consulting, requiring a doctoral degree. In contrast, a Business Analyst typically holds a bachelor's or master's degree and works in corporate environments analyzing data to improve business processes. While both roles involve business expertise, the Phd Business emphasizes research and academia, whereas the Business Analyst is more application-focused in industry settings.

How much does a PhD in business earn?

A PhD in business typically earns between $80,000 and $150,000 annually, depending on the industry, experience, and location. Academic roles such as university professors often have salaries in the lower to mid-range, while industry and consulting positions tend to offer higher compensation.

What is a PhD in business good for?

A PhD in business prepares individuals for careers in academia, research, consulting, or high-level management roles. It develops advanced analytical, research, and leadership skills, often requiring proficiency in data analysis tools and theoretical knowledge, and can lead to positions such as university professor, corporate researcher, or strategic consultant.

What jobs can you get with a PhD in business?

A PhD in business qualifies individuals for roles such as university professor, business researcher, management consultant, or executive in corporate strategy. These positions often require strong analytical, research, and leadership skills, and may involve teaching, publishing, or advising organizations on strategic decisions.

Which PhD in business is most in demand?

The most in-demand PhD in business often depends on industry trends, but degrees in finance, data analytics, and management are highly sought after. These fields require strong research skills, quantitative analysis, and familiarity with tools like statistical software and business intelligence platforms.

What cities are hiring for Phd Business jobs?

Cities with the most Phd Business job openings:

What states have the most Phd Business jobs?

States with the most job openings for Phd Business jobs include:

What are popular job titles related to Phd Business jobs?

For Phd Business jobs, the most frequently searched job titles are:

Phd Business jobs near you
Infographic showing various Phd Business job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $47,805 per year, or $23 per hour.

Current PhD - Data Science Internship - Summer 2027

Cambridge, MA

Capital One
Funds, Trusts and Financial Programs • 10K+ employees
Learn more about Capital Oneexternal

Full-time

Re-posted 25 days ago

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

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

Job description

Current PhD - Data Science Internship - Summer 2027

Key Role Details

  • This is a full-time paid internship program spanning ten weeks from June through August 2027.

  • 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

This is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.

Basic 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

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

Data Science Internship - 2027

As a Data Scientist at Capital One, you'll 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. You'll help our customers solve their financial services challenges by using groundbreaking techniques. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise.

On any given day, you might:

  • 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

We'd love to find someone who is...

  • 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.

Are you ready to join a community of talented individuals who embrace customer problems and use their passion and capabilities to make a difference every single day? If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey!

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $176,000 - $176,000 for Data Science PhD Intern


Chicago, IL: $160,000 - $160,000 for Data Science PhD Intern


McLean, VA: $176,000 - $176,000 for Data Science PhD Intern


New York, NY: $192,000 - $192,000 for Data Science PhD Intern


Plano, TX: $160,000 - $160,000 for Data Science PhD Intern


Richmond, VA: $160,000 - $160,000 for Data Science PhD Intern


San Francisco, CA: $192,000 - $192,000 for Data Science PhD Intern


San Jose, CA: $192,000 - $192,000 for Data Science PhD Intern




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.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

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.com

Capital 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).

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