What are the responsibilities and job description for the Data Science Research Internship position at IDeaS?
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.
What you’ll be doing...
- 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
What you’ll bring to us…
- 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 Have…
- 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)
We Support Who You Are….
As a global company, we strive to create an inclusive environment where diverse perspectives spark innovation and meet the challenges of an evolving world. Whether you’re launching a new career or expanding your current one, IDeaS is a company where you can balance great work with all other aspects of your life.
At IDeaS, we also aspire to live our values each day by being Accountable, Curious, Passionate and Authentic. And we continue our quest to build a more inclusive environment that attracts, represents and provides a place for diverse ideas, unique perspectives, and authentic voices.
Additional Information:To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.
SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights.
Equivalent combination of education, training, and relevant experience may be considered in place of the education requirement stated above.
Resumes may be considered in the order they are received.
IDeaS/SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, IDeaS/SAS may obtain nationality or citizenship information from applicants for employment.
IDeaS/SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
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