Data Scientist Research Intern

IDeaS

71d•Hybrid

About The Position

Passionate people. Loyal clients. Leading solutions. With a rich culture of creative collaboration and professional growth, IDeaS’ team members build successful careers with us. IDeaS is proud to be a global powerhouse of innovation and excellence; challenge and reward. No matter where we’re working, our teams come together to create leading revenue management solutions that accelerate our clients’ growth through revenue optimization. Now we just need you! IDeaS’ Internship Program provides students with real world experiences working on high visibility projects and challenging assignments. Our program facilitates opportunities to explore their field of study and make connections. Interns are a valuable part of our team – they do a lot of important work here and occasionally have some fun. As an R&D Intern on the Research team, you will be working with a mentor from our Advanced Analytics Team on new product development. The analytics team combines members from our research, software development and testing departments in a small, fast, and adaptive team. 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 the rapidly changing world. We have exciting opportunities to work with our experts in the field of applying generative AI and machine learning techniques to existing revenue management problems. Projects typically involve many 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
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
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

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

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume