AI Data Analyst Internships
Ai data analyst internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working data scientists and analysts, and, at many employers, a path toward a full-time offer. Openings are concentrated across Energy, Food & Beverage, and Technology & Software, with ITT, Cook, and JLG among the employers posting roles now.
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Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.
You'll help banks, asset management and insurance organizations own their future by helping them to transform and create new business models to meet changing customer needs and drive sustainability.
Join our team as the expert you are now and create your future.
Interns will support internal audit and risk management engagements for financial institutions, with a strong focus on applying data analytics, artificial intelligence (AI), and model-driven approaches to enhance audit execution, risk assessment, and regulatory compliance. This role is designed for students who combine technical depth with an interest in audit, governance, and risk advisory.
Our Interns join us from a wide range of backgrounds and make an immediate impact working as part of a team committed to developing creative insights, implementing and designing processes, and driving tangible results. Interns receive training and coaching while gaining hands-on experience working independently and in team settings, building effective relationships, and delivering client solutions.
With a solution-oriented mindset, you will collaborate with team members to critically think and problem-solve while executing effective, technology-enabled audit and risk strategies. As an Intern, you will spend your summer working on client projects and participating in team culture initiatives and social events.
Role Focus
This role integrates internal audit, risk management, and regulatory advisory with advanced data analytics and AI, emphasizing the development and application of AI use cases and tools tailored to audit and risk management use cases within financial institutions.
Responsibilities May Include
- Assisting with proposal development, including analytics- and AI-enabled approaches, budgeting, and project timelines for new business opportunities.
-
Supporting risk assessment and internal audit planning by:
- Conducting research on client background, business activities, and key risks.
- Assisting in internal audit risk assessments and development of audit plans.
- Preparing materials for audit kick-off meetings and planning sessions.
- Applying data analytics and AI techniques to support audit risk assessments and scoping decisions.
- Assisting in the development of internal audit plans and preparation for client kick-off meetings.
-
Assisting in the end-to-end execution of internal audit projects, including:
- Monitoring scope, risks, and issues.
- Supporting audit fieldwork, documentation, and reporting activities.
- Analyzing differences in policy management, governance structures, and control environments, identifying leading practices for financial institutions.
- Monitoring changes in the regulatory environment and assessing their impact on the organization and client operations.
-
Supporting updates to the Enterprise Risk Management (ERM) Framework, including:
- Major risk identification and maintenance of risk inventories.
- Documentation of risk taxonomy and governance processes.
-
Supporting governance, risk, and compliance (GRC) initiatives, including:
- Ensuring governance structures support effective risk and compliance management.
- Assisting with governance training and education related to risk frameworks.
- Supporting technology-enabled projects from a business and governance perspective, ensuring alignment with regulatory and operational requirements.
- Coordinating with internal audit teams and client stakeholders to support project delivery.
-
Designing, developing, and testing data and AI to support audit and risk management use cases, such as:
- Test case development, anomaly detection, and continuous auditing.
- Risk indicator identification and monitoring.
- Control effectiveness testing and trend analysis.
- Developing and enhancing analytics tools and AI prompts/scripts to automate audit and risk processes.
- Leveraging prominent AI frameworks and libraries to build, evaluate, and refine models used in audit and risk engagements.
- Analyzing differences in policy management, control environment, and governance practices, identifying leading practices across financial institutions.
- Monitoring changes in the regulatory environment and assessing their impact on audit scope, risk profiles, and compliance requirements.
- Supporting updates to the Enterprise Risk Management (ERM) Framework, including major risk identification and maintenance of risk inventories.
- Supporting governance, risk, and compliance (GRC) initiatives, including governance training and education related to risk frameworks.
- Ensuring that technology-enabled audit and risk solutions improve business operations, audit quality, and regulatory compliance.
Hiring Requirements – Qualifications
-
Strong performance in a bachelor’s degree in a field related to this position or equivalent work experience obtained by Spring 2028:
- Finance and Financial Management, Economics, Law, Business Management, Public Policy, Political Science, Operations Management or related disciplines.
- Computer Science, Computer Engineering, Data Science, Data Mining, Information Science, Information System Management, Statistics, Applied Mathematics, Engineering, and/or related disciplines with strong data analytics or AI coursework.
- Strong conceptual, critical thinking, analytical, professional judgement, and practical problem-solving skills.
- Excellent verbal and written communication skills.
- Ability to manage multiple priorities in a fast-paced, project-based environment.
- Initiative, professionalism, and ability to collaborate with multidisciplinary teams.
- U.S work authorization is required.
- Must be available for a June 2027 start date. Location: Washington, D.C.
Preferred Requirements
- Experience or certification exposure to data analytics, automation, or artificial intelligence.
- Prior internship experience in consulting, audit, risk advisory, risk management, compliance or financial services.
- Demonstrated experience with prominent AI tools, frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, Keras, or similar.
- Familiarity with analytical tools such as Python, SQL, Excel, Power BI, Tableau, or similar platforms.
Application Materials
- Current Resume
- Unofficial Transcript
The compensation for this job is $30/hr. The represents a good faith estimate of the rate that Huron reasonably expects to pay for this job at the time of the job posting.
Huron is fully committed to providing equal employment opportunity to job applicants and employees in recruitment, hiring, employment, compensation, benefits, promotions, transfers, training, and all other terms and conditions of employment. Huron will not discriminate on the basis of age, race, color, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship or any other status protected by laws or regulations in the locations where we do business. We endeavor to maintain a drug-free workplace.
To learn more about Huron, visit www.huronconsultinggroup.com.
Position Level
InternCountry
United States of AmericaHuron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.
You'll help banks, asset management and insurance organizations own their future by helping them to transform and create new business models to meet changing customer needs and drive sustainability.
Join our team as the expert you are now and create your future.
Interns will support internal audit and risk management engagements for financial institutions, with a strong focus on applying data analytics, artificial intelligence (AI), and model-driven approaches to enhance audit execution, risk assessment, and regulatory compliance. This role is designed for students who combine technical depth with an interest in audit, governance, and risk advisory.
Our Interns join us from a wide range of backgrounds and make an immediate impact working as part of a team committed to developing creative insights, implementing and designing processes, and driving tangible results. Interns receive training and coaching while gaining hands-on experience working independently and in team settings, building effective relationships, and delivering client solutions.
With a solution-oriented mindset, you will collaborate with team members to critically think and problem-solve while executing effective, technology-enabled audit and risk strategies. As an Intern, you will spend your summer working on client projects and participating in team culture initiatives and social events.
Role Focus
This role integrates internal audit, risk management, and regulatory advisory with advanced data analytics and AI, emphasizing the development and application of AI use cases and tools tailored to audit and risk management use cases within financial institutions.
Responsibilities May Include
- Assisting with proposal development, including analytics- and AI-enabled approaches, budgeting, and project timelines for new business opportunities.
-
Supporting risk assessment and internal audit planning by:
- Conducting research on client background, business activities, and key risks.
- Assisting in internal audit risk assessments and development of audit plans.
- Preparing materials for audit kick-off meetings and planning sessions.
- Applying data analytics and AI techniques to support audit risk assessments and scoping decisions.
- Assisting in the development of internal audit plans and preparation for client kick-off meetings.
-
Assisting in the end-to-end execution of internal audit projects, including:
- Monitoring scope, risks, and issues.
- Supporting audit fieldwork, documentation, and reporting activities.
- Analyzing differences in policy management, governance structures, and control environments, identifying leading practices for financial institutions.
- Monitoring changes in the regulatory environment and assessing their impact on the organization and client operations.
-
Supporting updates to the Enterprise Risk Management (ERM) Framework, including:
- Major risk identification and maintenance of risk inventories.
- Documentation of risk taxonomy and governance processes.
-
Supporting governance, risk, and compliance (GRC) initiatives, including:
- Ensuring governance structures support effective risk and compliance management.
- Assisting with governance training and education related to risk frameworks.
- Supporting technology-enabled projects from a business and governance perspective, ensuring alignment with regulatory and operational requirements.
- Coordinating with internal audit teams and client stakeholders to support project delivery.
-
Designing, developing, and testing data and AI to support audit and risk management use cases, such as:
- Test case development, anomaly detection, and continuous auditing.
- Risk indicator identification and monitoring.
- Control effectiveness testing and trend analysis.
- Developing and enhancing analytics tools and AI prompts/scripts to automate audit and risk processes.
- Leveraging prominent AI frameworks and libraries to build, evaluate, and refine models used in audit and risk engagements.
- Analyzing differences in policy management, control environment, and governance practices, identifying leading practices across financial institutions.
- Monitoring changes in the regulatory environment and assessing their impact on audit scope, risk profiles, and compliance requirements.
- Supporting updates to the Enterprise Risk Management (ERM) Framework, including major risk identification and maintenance of risk inventories.
- Supporting governance, risk, and compliance (GRC) initiatives, including governance training and education related to risk frameworks.
- Ensuring that technology-enabled audit and risk solutions improve business operations, audit quality, and regulatory compliance.
Hiring Requirements – Qualifications
-
Strong performance in a bachelor’s degree in a field related to this position or equivalent work experience obtained by Spring 2028:
- Finance and Financial Management, Economics, Law, Business Management, Public Policy, Political Science, Operations Management or related disciplines.
- Computer Science, Computer Engineering, Data Science, Data Mining, Information Science, Information System Management, Statistics, Applied Mathematics, Engineering, and/or related disciplines with strong data analytics or AI coursework.
- Strong conceptual, critical thinking, analytical, professional judgement, and practical problem-solving skills.
- Excellent verbal and written communication skills.
- Ability to manage multiple priorities in a fast-paced, project-based environment.
- Initiative, professionalism, and ability to collaborate with multidisciplinary teams.
- U.S work authorization is required.
- Must be available for a June 2027 start date. Location: Washington, D.C.
Preferred Requirements
- Experience or certification exposure to data analytics, automation, or artificial intelligence.
- Prior internship experience in consulting, audit, risk advisory, risk management, compliance or financial services.
- Demonstrated experience with prominent AI tools, frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, Keras, or similar.
- Familiarity with analytical tools such as Python, SQL, Excel, Power BI, Tableau, or similar platforms.
Application Materials
- Current Resume
- Unofficial Transcript
The compensation for this job is $30/hr. The represents a good faith estimate of the rate that Huron reasonably expects to pay for this job at the time of the job posting.
Huron is fully committed to providing equal employment opportunity to job applicants and employees in recruitment, hiring, employment, compensation, benefits, promotions, transfers, training, and all other terms and conditions of employment. Huron will not discriminate on the basis of age, race, color, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship or any other status protected by laws or regulations in the locations where we do business. We endeavor to maintain a drug-free workplace.
To learn more about Huron, visit www.huronconsultinggroup.com.
Position Level
InternCountry
United States of AmericaAI Data Analyst Internship Market
Who's Hiring
Top Industries Hiring
- Energy
- Food & Beverage
- Technology & Software
- Marketing & Advertising
Tips for Your AI Data Analyst Internship Search
Apply earlier than your peers
Large employers close their summer ai data analyst intern cohorts in the fall, months before those roles would start. Smaller companies and co-op programs post closer to start dates. Check listings regularly from September onward so you don't miss the structured programs that recruit earliest.
Build a portfolio before you apply
Hiring teams for ai data analyst intern roles expect limited work history and assess you on what you can show. Document two or three complete projects in a GitHub repository or published notebook, including the tools used, the question you answered, and how you validated your results.
Work your campus network and apply directly
Campus career fairs surface structured programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Applying directly to companies running smaller cohorts alongside your campus activity widens the pool you reach at the same time.
Practice the technical screen out loud
Ai data analyst intern interviews typically include a technical or analytics screen covering SQL, Python, statistics, or a short take-home analysis. Practice explaining your reasoning as you work through problems, since interviewers weigh how you think through ambiguity as much as the final answer.
Target structured rotational and cohort programs early
Larger employers in technology and finance run rotational analytics or data science internship programs built to train people new to the field. These programs recruit early, fill fast, and offer structured mentorship across teams. Identify the ones that fit your background and submit in the first application wave.
Set your work-type filter before you start
On-site roles are 14% of the ai data analyst internships listed here. Decide what you can realistically commit to before you start sorting through openings on Migrate Mate, then filter by location and work type so you spend time only on roles you can actually take.
AI Data Analyst Internships: Frequently Asked Questions
How do I get an ai data analyst internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. Build a portfolio of complete, documented analyses or machine learning experiments that recruiters can actually review. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an ai data analyst internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What drives it for ai data analyst interns is consistent performance on real project work, available headcount on the team, and understanding when return-offer decisions happen so you can ask early. Position for a return offer without counting on one.
When should I apply for ai data analyst internships?
Earlier than most expect. Large employers recruit summer interns the preceding fall, often closing cohorts before spring semester begins. Smaller companies and co-op programs post closer to their actual start dates, so openings appear year-round. Checking listings regularly means you catch both waves.
Are ai data analyst internships paid?
Most professional ai data analyst 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, so you can compare options without having to research each one separately.
What should an ai data analyst internship resume include?
Lead with two or three complete, documented projects, naming the tools used and linking to the work directly, such as a GitHub repository, published notebook, or case study write-up. Add relevant coursework in statistics, machine learning, or programming. Keep the whole document to one page, since intern hiring teams scan quickly.
Are there remote ai data analyst internships?
Yes. Remote and hybrid roles make up 86% of the ai data analyst internship listings here, with the rest on-site. Remote cohorts fill fast, so apply early and filter by work type to see them before they close.
What is a rotational data or analytics internship program?
Some larger technology and financial services employers run structured rotational internship programs that place interns across multiple analytics or data science teams over the course of the internship. These programs are built for people new to the field, recruit several months before the start date, and are competitive, so identify the ones that fit your background and apply in the first wave.
Can international students get ai data analyst 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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