Data Science Consultant Internships
Data science consultant 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. Demand is strongest across Technology & Software, with ECS Limited and Elire among the employers posting roles now.
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See related jobsSummer 2027 AI Data Science Consulting Internship
Knowledge Graphs & Enterprise Data
Location: Minneapolis, Mn (Hybrid but based in Mn for summer)
Dates: June 1 - August 20, 2027 (10–12 weeks)
Status: Internship | Full-Time | Paid
Eligibility: Undergraduate, Master’s, Graduate-Level or PhD Students
Extension: Potential extension; remote work may be considered
Elire and Role Overview
Elire is a trusted Oracle consulting partner with over 20 years of experience delivering ERP, EPM, HCM, and Treasury transformations across public and private sector clients using PeopleSoft, Oracle Cloud, and Treasury Management Systems such as Kyriba and FIS. We combine deep business and technical expertise with a people-first, consulting-driven approach to help organizations modernize systems, improve decision-making, and prepare for the future of work.
As AI continues to reshape how organizations operate, Elire is investing in responsible, human-in-the-loop AI solutions that enhance - not replace - our consultants and clients. Our Summer 2027 AI Data Science Consulting Internship program gives advanced students hands-on exposure to applied AI in a real consulting environment, with an emphasis on practical problem-solving, sound technical judgment, and work that can move from concept toward usable solutions.
The Opportunity
The AI Data Science Intern will focus on indexing, organizing, and structuring Elire documents and digital assets using graph-based concepts. This role is designed for a technically strong Master's, PhD or Undergraduate student who can think beyond basic data analysis and help turn complex, distributed information into structured, connected knowledge that can support AI-driven search, retrieval, reasoning, and consulting use cases.
Key Responsibilities:
- Analyze Elire documents, assets, and information sources to identify meaningful entities, relationships, metadata, and structures.
- Support the design and development of graph-based approaches for indexing and connecting enterprise knowledge.
- Prepare, clean, normalize, and validate data used in AI, retrieval, and knowledge-graph workflows.
- Explore approaches involving embeddings, vectorization, semantic retrieval, property graphs, and related AI/data concepts.
- Build or support prototypes, scripts, data pipelines, or proof-of-value solutions using Python, SQL, and relevant data/AI tooling.
- Evaluate the quality, completeness, and usefulness of structured data and AI-generated outputs; identify gaps and recommend improvements.
- Document data structures, assumptions, testing results, and technical findings clearly for technical and non-technical audiences.
- Collaborate with Elire AI, consulting, and technical leaders and present findings or a final project at the end of the internship.
Required Qualifications:
- Currently pursuing an Undergraduate, Master's or PhD in Data Science, Computer Science, Artificial Intelligence / Machine Learning, Analytics, Information Systems, Engineering, or a closely related technical field.
- Strong hands-on experience with Python and data manipulation, analysis, or modeling.
- Working knowledge of SQL and structured/unstructured data concepts.
- Understanding of graph concepts, knowledge graphs, property graphs, semantic relationships, or comparable data structures.
- Strong analytical ability and critical thinking; able to work through ambiguous technical problems with limited step-by-step direction.
- Ability to evaluate results critically rather than accepting model or tool output at face value.
- Ability to communicate technical concepts, decisions, and findings clearly and professionally.
Preferred Qualifications:
- Experience with graph databases or graph tooling (for example, Neo4j or comparable technologies).
- Exposure to LLM mechanics, embeddings/vectorization, RAG or semantic search, and generative AI APIs.
- Experience working with document corpora, metadata, enterprise search, or information retrieval.
- Exposure to cloud platforms such as Oracle Cloud, AWS, Azure, or GCP.
- Prior research, internship, or project experience involving applied AI, data science, or enterprise knowledge systems.
What You’ll Gain:
- Real-world experience applying AI and advanced technology in a consulting and enterprise environment.
- Hands-on work with experienced consultants, technical leaders, and Elire innovation initiatives.
- Professional development focused on critical thinking, communication, problem-solving, and client-ready delivery.
- The opportunity to own meaningful work and present findings or a final project at the end of the internship.
- Potential consideration for an internship extension based on business need and performance; an extension may be remote.
Who Will Be Successful
This internship is intended for someone who is technically capable, curious, self-directed, and comfortable being challenged. We are looking for an undergraduate, graduate or PhD student who can do the work, think critically about the work, ask strong questions, and use AI as a tool without outsourcing technical judgment to it.
About Elire:
Elire is a Certified Partner of Oracle Cloud, PeopleSoft, Kyriba, and FIS. Established in 2005, Elire is a Minneapolis-based full-service consulting firm with 15+ years of experience in successfully completing projects for our customers all over the country. Over one hundred clients in the Public and Fortune 500 Financial, Services, and Utilities Sectors have benefited from Elire’s hands-on guidance and knowledge.
We help achieve success by efficiently implementing, integrating, and upgrading software investments. We employ consultants with world-class skills and experience. To learn more, visit our website at www.elire.com
Elire is proud to be an Equal Opportunity Employer. We encourage all qualified candidates to apply, regardless of race, color, gender, age, religion, national origin, disability, marital status, sexual orientation, or veteran status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Summer 2027 AI Data Science Consulting Internship
Knowledge Graphs & Enterprise Data
Location: Minneapolis, Mn (Hybrid but based in Mn for summer)
Dates: June 1 - August 20, 2027 (10–12 weeks)
Status: Internship | Full-Time | Paid
Eligibility: Undergraduate, Master’s, Graduate-Level or PhD Students
Extension: Potential extension; remote work may be considered
Elire and Role Overview
Elire is a trusted Oracle consulting partner with over 20 years of experience delivering ERP, EPM, HCM, and Treasury transformations across public and private sector clients using PeopleSoft, Oracle Cloud, and Treasury Management Systems such as Kyriba and FIS. We combine deep business and technical expertise with a people-first, consulting-driven approach to help organizations modernize systems, improve decision-making, and prepare for the future of work.
As AI continues to reshape how organizations operate, Elire is investing in responsible, human-in-the-loop AI solutions that enhance - not replace - our consultants and clients. Our Summer 2027 AI Data Science Consulting Internship program gives advanced students hands-on exposure to applied AI in a real consulting environment, with an emphasis on practical problem-solving, sound technical judgment, and work that can move from concept toward usable solutions.
The Opportunity
The AI Data Science Intern will focus on indexing, organizing, and structuring Elire documents and digital assets using graph-based concepts. This role is designed for a technically strong Master's, PhD or Undergraduate student who can think beyond basic data analysis and help turn complex, distributed information into structured, connected knowledge that can support AI-driven search, retrieval, reasoning, and consulting use cases.
Key Responsibilities:
- Analyze Elire documents, assets, and information sources to identify meaningful entities, relationships, metadata, and structures.
- Support the design and development of graph-based approaches for indexing and connecting enterprise knowledge.
- Prepare, clean, normalize, and validate data used in AI, retrieval, and knowledge-graph workflows.
- Explore approaches involving embeddings, vectorization, semantic retrieval, property graphs, and related AI/data concepts.
- Build or support prototypes, scripts, data pipelines, or proof-of-value solutions using Python, SQL, and relevant data/AI tooling.
- Evaluate the quality, completeness, and usefulness of structured data and AI-generated outputs; identify gaps and recommend improvements.
- Document data structures, assumptions, testing results, and technical findings clearly for technical and non-technical audiences.
- Collaborate with Elire AI, consulting, and technical leaders and present findings or a final project at the end of the internship.
Required Qualifications:
- Currently pursuing an Undergraduate, Master's or PhD in Data Science, Computer Science, Artificial Intelligence / Machine Learning, Analytics, Information Systems, Engineering, or a closely related technical field.
- Strong hands-on experience with Python and data manipulation, analysis, or modeling.
- Working knowledge of SQL and structured/unstructured data concepts.
- Understanding of graph concepts, knowledge graphs, property graphs, semantic relationships, or comparable data structures.
- Strong analytical ability and critical thinking; able to work through ambiguous technical problems with limited step-by-step direction.
- Ability to evaluate results critically rather than accepting model or tool output at face value.
- Ability to communicate technical concepts, decisions, and findings clearly and professionally.
Preferred Qualifications:
- Experience with graph databases or graph tooling (for example, Neo4j or comparable technologies).
- Exposure to LLM mechanics, embeddings/vectorization, RAG or semantic search, and generative AI APIs.
- Experience working with document corpora, metadata, enterprise search, or information retrieval.
- Exposure to cloud platforms such as Oracle Cloud, AWS, Azure, or GCP.
- Prior research, internship, or project experience involving applied AI, data science, or enterprise knowledge systems.
What You’ll Gain:
- Real-world experience applying AI and advanced technology in a consulting and enterprise environment.
- Hands-on work with experienced consultants, technical leaders, and Elire innovation initiatives.
- Professional development focused on critical thinking, communication, problem-solving, and client-ready delivery.
- The opportunity to own meaningful work and present findings or a final project at the end of the internship.
- Potential consideration for an internship extension based on business need and performance; an extension may be remote.
Who Will Be Successful
This internship is intended for someone who is technically capable, curious, self-directed, and comfortable being challenged. We are looking for an undergraduate, graduate or PhD student who can do the work, think critically about the work, ask strong questions, and use AI as a tool without outsourcing technical judgment to it.
About Elire:
Elire is a Certified Partner of Oracle Cloud, PeopleSoft, Kyriba, and FIS. Established in 2005, Elire is a Minneapolis-based full-service consulting firm with 15+ years of experience in successfully completing projects for our customers all over the country. Over one hundred clients in the Public and Fortune 500 Financial, Services, and Utilities Sectors have benefited from Elire’s hands-on guidance and knowledge.
We help achieve success by efficiently implementing, integrating, and upgrading software investments. We employ consultants with world-class skills and experience. To learn more, visit our website at www.elire.com
Elire is proud to be an Equal Opportunity Employer. We encourage all qualified candidates to apply, regardless of race, color, gender, age, religion, national origin, disability, marital status, sexual orientation, or veteran status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Data Science Consultant Internship Market
Who's Hiring
Top Industries Hiring
- Technology & Software
Tips for Your Data Science Consultant Internship Search
Apply earlier than you think necessary
Large employers open data science consultant summer internship applications the fall before the start date, often closing them months ahead. Smaller firms and co-op programs post closer to start, so roles appear year-round. Build a target list in September and check it weekly rather than waiting for a single peak season.
Build a portfolio before you send anything
Hiring teams for data science consultant internships cannot assess work history that does not exist yet, so give them a project record instead. Document two or three analyses or consulting-style case studies in a linked GitHub repository or published write-up, naming the tools, datasets, and methods you used. That artifact does the work your resume cannot.
Work your campus network and apply directly at the same time
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 data science consultant cohorts alongside your campus activity widens the pool you reach and fills gaps in what your campus pipeline covers.
Practice your technical screen out loud before you start
Data science consultant intern interviews typically involve a technical or analytics screen combining SQL or Python problems with a business case or data interpretation exercise. Practice walking through your reasoning out loud, not just arriving at the right answer, because interviewers weigh how you frame and structure a problem as much as the final result.
Target structured rotational programs early
Many large consulting and technology firms run rotational or cohort-based data science internship programs designed to train people new to the field. These programs recruit in the fall, fill in the first application wave, and offer more structured mentorship than individual-team placements. Identify the ones that fit your background and submit before the general market opens.
Set your work-type filter before you start
On-site roles are 100% of the data science consultant internships listed here. Decide what you can realistically commit to, on-site, hybrid, or remote, before you start reviewing listings, then filter by location and work type so you are not sorting through roles you cannot take.
Data Science Consultant Internships: Frequently Asked Questions
How do I get a data science 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 science consultant candidates, a linked GitHub repository with documented analyses or machine learning projects gives recruiters something concrete to assess. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a data science consultant internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. For data science consultant interns, what actually drives it is performance on real project deliverables, available headcount on the team at the time, and return-offer timelines that often come before the internship ends. Position yourself by delivering visible work and treating the internship as an extended interview, without counting on the outcome.
When should I apply for data science consultant internships?
Earlier than most candidates expect. Large employers recruit summer interns the preceding fall, with applications closing months before the start date. Smaller companies and co-op programs post closer to their actual start dates, so openings appear year-round. Checking listings regularly rather than waiting for a single recruiting season gives you the widest window.
Are data science consultant internships paid?
Most professional data science consultant internships in the U.S. are paid. Compensation varies by company size, industry, and location, and listings display it where the employer chooses to disclose it. Unpaid internships exist but are uncommon at established organizations in this field.
What should a data science 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, a GitHub repository, a published analysis, or a case study write-up gives reviewers something to assess for data science consultant candidates. Add relevant coursework, keep the whole document to one page, and place your most technical project first.
Are there remote data science consultant internships?
Yes. Remote and hybrid roles make up 0% of the data science consultant 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 data science rotational internship?
Rotational internship programs at larger consulting and technology firms place interns across two or three teams or practice areas during a single summer, exposing them to different client types, methods, and business problems. These programs target people new to the field, recruit early in the fall, and are competitive, identifying the ones that match your background and applying in the first wave gives you the best shot.
Can international students get data science 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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