Python Certification Jobs in Green Bay, WI (NOW HIRING)

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 RESPONSIBILITIESQUALIFICATIONS

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.



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