New

Data Science & GenAI Research Intern - IGEN

U.S. Venture

1025 West Navitus Drive (Show on map)
May 15, 2026
POSITION SUMMARYJoin the Insight Engineering team for Summer 2026, starting May 2026. This internship is dedicated to applied research and development in data science and Generative AI - with a particular focus on agentic systems that reason over enterprise data. You will work alongside the foundation team that is standing up our Snowflake-anchored data platform, semantic layer, and KPI certification discipline. Your role is the R&D wedge: prototyping the AI capabilities that will eventually be embedded into IGEN products and shared as certified, governed insight with clients and partners. This is not a ticket-queue internship. You will own experiments end to end - framing the question, building the prototype, evaluating it honestly, and writing up what you learned so the team can decide what to productize. This internship will be located onsite at our Corporate Headquarters [222 W College Avenue, Appleton, WI 54911]. This intern will sit inside the Insight Engineering squad alongside the Sr. Data Engineer and BI Engineer, and will partner with product squads where R&D output intersects their roadmap. JOB RESPONSIBILITIES What You'll Work On Project scope is set at the start of the internship based on team priorities and your strengths, but representative R&D tracks include: GenAI Agentic Systems Prototype agents that answer business questions by reasoning over certified KPIs, semantic models, and operational data - not by guessing. Build retrieval-augmented pipelines over structured warehouse data and unstructured documents (regulatory content, internal documentation, ticket history). Explore tool-use patterns where an LLM orchestrates SQL generation, validation against the semantic layer, and result interpretation - with governance and lineage preserved. Evaluate model behavior rigorously - accuracy, hallucination rates, latency, cost - and document trade-offs. Data Science & Applied ML Develop and test models against governed datasets in Snowflake - forecasting, classification, anomaly detection, or entity resolution depending on the active research question. Engineer features that could land in a future feature store, with attention to lineage, reproducibility, and certified inputs. Run experiments using Snowflake Cortex AI (native LLM and ML functions in SQL), Python notebooks, and other appropriate tooling. Research Communication Write up findings in a way the engineering team, product partners, and SLT can consume - what was tried, what worked, what didn't, and what to do next. Demo prototypes to the Insight Engineering team and contribute to the decision of whether a capability is ready to move from R&D into the platform roadmap. What You'll Learn How a real data platform gets built: ingest, normalization, semantic layer, certification, governance - not just the demo version. How GenAI capabilities are evaluated and made production-credible in an enterprise context where hallucination is not an acceptable failure mode. How insight engineering treats AI as a deliverable that must be owned, named, dated, and versioned - the same discipline as code. How research output becomes product input: the path from prototype to roadmap to revenue. Why This Internship Most data internships ask you to fix dashboards or clean a backlog. This one asks you to figure out something the team doesn't yet know how to do - then teach us what you learned. The work you do this summer will directly inform which AI capabilities IGEN builds into the platform, into our products, and eventually into a productized data and insights revenue stream. If you want to leave an internship with shipped prototypes, real evaluation data, and a written record of research that influenced a roadmap - this is the role. QUALIFICATIONS What You Need for This Position Pursuing a degree in Computer Science, Data Science, Statistics, Applied Math, Machine Learning, or a related quantitative field. Working proficiency in Python, including common data and ML libraries (pandas, scikit-learn, NumPy). Basic SQL fluency - you can write queries, read execution plans casually, and understand joins, aggregations, and CTEs. Exposure to LLMs or GenAI tooling - coursework, side projects, or hands-on use of APIs (OpenAI, Anthropic, open-weight models, LangChain/LlamaIndex, or equivalents). You do not need production experience; you need genuine curiosity and a portfolio of attempts. Comfort with ambiguity. R&D problems are not specced like feature tickets. You will need to scope your own work, decide when an experiment is done, and communicate trade-offs clearly. Strong written communication. Findings the team can't read are findings the team can't use. Bonus Points Hands-on experience with agentic frameworks (tool use, function calling, multi-step reasoning, ReAct-style loops). Familiarity with retrieval-augmented generation (RAG), vector databases, embeddings, and evaluation methods for LLM outputs. Exposure to Snowflake, dbt, or modern data warehouse tooling - Cortex AI experience is a clear plus. Experience with Power BI or other BI/visualization tools. MLOps awareness - experiment tracking (MLflow, Weights & Biases), model evaluation harnesses, reproducibility practices. A public artifact - GitHub repo, blog post, paper, hackathon submission - that shows how you think when you build something. DIVISION: IGEN U.S. Venture will not offer sponsorship for employment status (including, but not limited to, H-1B, TN, E-3, F1, CPT, OPT, STEM OPT, visa status and other employmentbased nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a fulltime basis and must not require U.S. Venture's sponsorship to continue to work legally in the United States. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency except when there is a specific business need. U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture. U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at (920) 739-6101. 91-00-800-0000