Data Science Research Internship

IDeaS•Edina, MN

1d•Hybrid

About The Position

IDeaS's Internship Program provides students with real-world experience working on high-visibility projects and challenging assignments. The program facilitates opportunities to explore their field of study and make connections. Interns are a valuable part of the team, contributing to important work and enjoying some fun. As an R&D Intern on the Research team, you will work with a mentor from the Advanced Analytics Team on new product development. The analytics team is a small, fast, and adaptive team comprising members from research, software development, and testing departments. You will help develop and deliver scientific and pragmatic solutions covering a wide range of revenue science topics, including forecasting, pricing, and optimization for emerging needs in a rapidly changing world. There are exciting opportunities to work with experts in applying generative AI and machine learning techniques to existing revenue management problems. Projects typically involve numerous opportunities for research, data exploration, solution prototyping, software development, and testing.

Requirements

Enrolled in Bachelors, Masters, or Ph.D. program in Applied Mathematics, Computer Science, Operations Research, Systems Engineering, Statistics, Data Science, Physics, Mathematics or a related quantitative field
Excellent ability to identify and proactively solve problems (data modeling)
Comfortable with one or more programming languages (Java, Python or SAS)
Strong written, verbal, and interpersonal communications skills
Programming: Proficiency in Python (primary), with working knowledge of SQL and RESTful APIs
AI / Machine Learning: Familiarity with large language models (LLMs), prompt engineering, RAG, and foundational ML concepts
Data Handling: Strong SQL querying skills, experience with Pandas for data manipulation, and ability to perform basic analytical tasks

Nice To Haves

As part of Ph.D. program, experience conducting research is preferred
Previous work in GenAI and machine learning is preferred
Interest in revenue science, general forecasting and estimation concepts
Hands-on experience with LangChain, LangGraph, or similar agentic AI frameworks
Understanding of hospitality and revenue management principles
Background in time-series forecasting or demand planning
Familiarity with dashboarding and visualization tools (e.g., Streamlit, Plotly, Dash)

Responsibilities

Preparing and analyzing data; identifying opportunities and problems; designing solutions and implementing those solutions
Communicating and presenting work to various audiences to explain functionality and/or benefit
Producing required technical documentation