Summer 2027 AI Data Science Consulting Internship

Elire is an Oracle consulting partner delivering ERP, EPM, HCM, Treasury, and enterprise technology transformations. The AI Data Science Consulting Intern will organize and structure enterprise documents using graph-based concepts, support AI and knowledge-graph workflows, build prototypes and data pipelines, evaluate outputs, document findings, and collaborate with technical and consulting leaders.

What you'll do:

• 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

What they're looking for:

• * 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
• * 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

Benefits:

• Hybrid work arrangement based in Minnesota for the summer
• Potential internship extension based on business need and performance; an extension may be remote
• 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
• Opportunity to own meaningful work and present findings or a final project at the end of the internship