AI Data Science & Graphs Internship (Hybrid)

Elire; Minneapolis (MN); Hybrid; USD 28,000 - 41,000; Full time

Job summary

Elire is offering a Summer 2027 AI Data Science Consulting Internship in Minneapolis with a hybrid work model. The internship focuses on indexing and structuring enterprise documents using graph-based concepts to support AI-driven search and retrieval.

The role targets advanced students (Undergraduate, Masters, or PhD) in data science, CS, AI/ML, analytics, or related fields, with strong Python and SQL skills. Extension potential may exist; remote work may be considered.

Qualifications

• Pursuing undergrad, master's, or PhD in data science, CS, AI/ML, analytics, or related fields.
• Strong Python experience and data manipulation, analysis, or modeling.
• Working knowledge of SQL and data concepts.

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 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 data quality and usefulness of AI-generated outputs; identify gaps and improvements.
• Document data structures, assumptions, testing results, and findings for technical and non-technical audiences.
• Collaborate with Elire AI, consulting, and technical leaders and present findings or final project.

Skills

Python

SQL

Data manipulation

Graph concepts

Critical thinking

Communication

Education

Data Science

Computer Science

AI/ML focus

Tools

Neo4j

Python tooling (pandas/numpy)

Job description

Elire is offering a Summer 2027 AI Data Science Consulting Internship in Minneapolis with a hybrid work model. The internship focuses on indexing and structuring enterprise documents using graph-based concepts to support AI-driven search and retrieval.

The role targets advanced students (Undergraduate, Masters, or PhD) in data science, CS, AI/ML, analytics, or related fields, with strong Python and SQL skills. Extension potential may exist; remote work may be considered.