Data and AI Consultant Internships
Data and ai consultant internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working data scientists and AI practitioners, and, at many employers, a path toward a full-time offer. Openings are concentrated across Energy, Food & Beverage, and Technology & Software, with Elire, Cook, and V2X among the employers posting roles now.
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Showing 5 of 25+ Data and AI Consultant Internships
Do you want to learn more on how to best defend the United States, our armed forces, and our allies from all forms of air and missile threats?
If you are pursuing a Bachelor's, Master's, or PhD in Computer Science, Mathematics, Engineering, Physics, or a similar major and want to work in an exciting and collaborative environment to solve challenging technical problems, we'd love to have you join our team.
We are seeking an innovative and highly talented intern to join our Information Fusion and Artificial Intelligence Group. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges. Accurate, timely, and actionable information derived from a variety of sources provides the warfighter advantages over its adversaries. Our group at APL identifies, develops, and applies efficient and effective algorithms to support critical capabilities for a variety of DoD missions.
As an intern, you will apply math, engineering, computer science, and physics knowledge to implement new distributed algorithms, advanced Artificial Intelligence/Machine Learning techniques, data fusion concepts, etc. in support of a wide variety of US Navy, Missile Defense, and Air Force systems.
As a member of our team...
- You will research, implement, prototype, and analyze algorithms, quantify and document the performance capabilities and limitations of algorithms for specific tasks, and provide metrics of robustness and confidence in specific approaches.
- You will interact with large data sets of various types, formats, and structures for algorithm training and testing, data cleaning, pre-processing, normalization, or manipulation as needed.
- You will create, develop, and debug code to contribute to various multi-user software test beds.
- You will create effective visualizations and documentation to explain complex topics to a variety of audiences.
Qualifications
You meet our minimum qualifications for the job if you...
- Are pursuing a Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, Physics, or similar degrees with a minimum 3.0 GPA on a 4.0 scale
- Are fluent in Python or C/C++, with the ability to translate mathematical concepts into well-documented and efficient code
- Have a desire to apply software engineering techniques to complex problems
- Have good written and verbal communication skills
- Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship
You'll go above and beyond our minimum requirements if you...
- Are pursuing a PhD degree in Computer Science, Mathematics, Engineering, Physics, or similar degrees with a minimum 3.0 GPA on a 4.0 scale
- Have basic knowledge in AI/ML or have taken AI/ML courses
- Have basic knowledge in Autonomy, or have taken Autonomy courses
- Have prior experience deploying AI/ML or Autonomy algorithms on edge compute devices
- Have prior experience developing AI/ML algorithms, used Generative AI or LLMs
- Have demonstrated experience in working with version control software like Git
About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$22.60 Hourly
Maximum Rate
$47.95 Hourly
Do you want to learn more on how to best defend the United States, our armed forces, and our allies from all forms of air and missile threats?
If you are pursuing a Bachelor's, Master's, or PhD in Computer Science, Mathematics, Engineering, Physics, or a similar major and want to work in an exciting and collaborative environment to solve challenging technical problems, we'd love to have you join our team.
We are seeking an innovative and highly talented intern to join our Information Fusion and Artificial Intelligence Group. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges. Accurate, timely, and actionable information derived from a variety of sources provides the warfighter advantages over its adversaries. Our group at APL identifies, develops, and applies efficient and effective algorithms to support critical capabilities for a variety of DoD missions.
As an intern, you will apply math, engineering, computer science, and physics knowledge to implement new distributed algorithms, advanced Artificial Intelligence/Machine Learning techniques, data fusion concepts, etc. in support of a wide variety of US Navy, Missile Defense, and Air Force systems.
As a member of our team...
- You will research, implement, prototype, and analyze algorithms, quantify and document the performance capabilities and limitations of algorithms for specific tasks, and provide metrics of robustness and confidence in specific approaches.
- You will interact with large data sets of various types, formats, and structures for algorithm training and testing, data cleaning, pre-processing, normalization, or manipulation as needed.
- You will create, develop, and debug code to contribute to various multi-user software test beds.
- You will create effective visualizations and documentation to explain complex topics to a variety of audiences.
Qualifications
You meet our minimum qualifications for the job if you...
- Are pursuing a Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, Physics, or similar degrees with a minimum 3.0 GPA on a 4.0 scale
- Are fluent in Python or C/C++, with the ability to translate mathematical concepts into well-documented and efficient code
- Have a desire to apply software engineering techniques to complex problems
- Have good written and verbal communication skills
- Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship
You'll go above and beyond our minimum requirements if you...
- Are pursuing a PhD degree in Computer Science, Mathematics, Engineering, Physics, or similar degrees with a minimum 3.0 GPA on a 4.0 scale
- Have basic knowledge in AI/ML or have taken AI/ML courses
- Have basic knowledge in Autonomy, or have taken Autonomy courses
- Have prior experience deploying AI/ML or Autonomy algorithms on edge compute devices
- Have prior experience developing AI/ML algorithms, used Generative AI or LLMs
- Have demonstrated experience in working with version control software like Git
About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$22.60 Hourly
Maximum Rate
$47.95 Hourly
Data and AI Consultant Internship Market
Who's Hiring
Top Industries Hiring
- Energy
- Food & Beverage
- Technology & Software
- Marketing & Advertising
Tips for Your Data and AI Consultant Internship Search
Apply in the fall for summer cohorts
Large consulting firms and technology companies open summer internship applications as early as August or September of the preceding year. If you wait until spring, the structured cohort programs are often closed. Set a reminder for early fall and treat that as your primary application window for data and AI roles.
Build a portfolio before you send one application
Hiring teams for data and AI internships assess your work directly, not your job history. Two or three documented projects on GitHub, a published Kaggle notebook, or a case study writeup with the methods and tools named give recruiters something concrete to evaluate. Build it first, then apply.
Work your campus network alongside direct applications
Campus career fairs surface structured internship programs tied directly to your university, and your professors and career center staff often know which employers recruit from your school before roles post publicly. Apply directly to companies running smaller cohorts at the same time so you reach employers who do not attend your fair.
Practice your technical screen out loud before applying
Data and AI consultant intern screens typically include a coding or SQL assessment, a case framing exercise, or an analytics problem you walk through live. Interviewers weigh how you explain your reasoning as much as the answer itself. Practice out loud, narrating your approach on realistic problems, before your first real screen.
Target structured rotational and analyst programs early
Large consulting firms and technology companies run dedicated rotational analyst and data apprenticeship programs built to train people new to the field. These programs recruit in the fall, fill in the first application wave, and are more competitive than general internship postings. Identify the ones that fit your background and apply before the general pool opens.
Set your work-type filter before you start
On-site roles are 17% of the data and ai consultant internships listed here. Decide what you can actually commit to before you search. Filtering by location and work type on Migrate Mate at the start keeps you from spending time on roles you cannot take and surfaces the remote or hybrid openings that match your situation.
Data and AI Consultant Internships: Frequently Asked Questions
How do I get a data and ai consultant internship?
Lead with coursework, personal projects, and a portfolio rather than work history, hiring teams expect limited experience at the intern level. For data and AI roles, a linked GitHub repository with documented analyses or model builds gives recruiters something concrete to assess. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a data and ai consultant internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. For data and AI roles, what drives it most is delivering real results on assigned projects, team headcount at the end of your cohort, and return-offer timing. Treat the internship as an extended interview, perform well on actual work, and ask early about the return-offer process without counting on a yes.
When should I apply for data and ai consultant internships?
Earlier than most expect. Large employers, particularly in consulting and technology, recruit summer interns the preceding fall, with applications opening in August or September. Smaller companies and co-op programs post closer to start dates, so openings appear year-round. Checking listings regularly and applying as soon as roles open gives you the strongest shot at structured cohort programs.
Are data and ai consultant internships paid?
Most professional data and AI consultant internships in the U.S. are paid. Compensation varies by company size, industry, and location. Where an employer discloses pay, the listing will show it. Unpaid arrangements exist but are uncommon at established consulting firms and technology companies recruiting for data and AI roles.
What should a data and ai consultant internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools and methods used and link directly to the work, such as a GitHub repository, a published notebook, or a case study writeup. Add relevant coursework in statistics, machine learning, or data engineering. Keep the entire document to one page.
Are there remote data and ai consultant internships?
Yes. Remote and hybrid roles make up 83% of the data and ai consultant internship listings here, with the rest on-site. Remote cohorts fill fast because they draw applicants nationally, so apply early and filter by work type to see them before they close.
What is a data and AI rotational analyst program?
Many large consulting firms and technology companies run structured rotational analyst programs specifically for new graduates and interns entering data and AI roles. These programs cycle participants across teams or practice areas over six to twelve months, building broad exposure before placement. They target people new to the field, recruit in the fall for the following year, and are competitive, so apply in the first wave.
Can international students get data and ai consultant internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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