{"id":1732768,"url":"https://alion.io/job/sas-data-science-research-internship","title":"Data Science Research Internship","company":{"id":3454,"name":"SAS","domain":"sas.com","url":"https://alion.io/company/sas","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bloomington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":68000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":145},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pandas","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Plotly","optional":true},{"name":"Streamlit","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-10-03T00:23:51Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-10-04T01:03:40Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Passionate people. Loyal clients. Leading solutions.\nWith a rich culture of creative collaboration and professional growth, IDeaS’ team members build successful careers with us.\nIDeaS 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.\nNow we just need you!\nIDeaS’ 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.\nAs 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.\nWe 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.\nWhat you’ll be doing...\nPreparing and analyzing data; identifying opportunities and problems; designing solutions and implementing those solutions\nCommunicating and presenting work to various audiences to explain functionality and/or benefit\nProducing required technical documentation\nWhat you’ll bring to us…\nEnrolled 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\nAs part of Ph.D. program, experience conducting research is preferred\nPrevious work in GenAI and machine learning is preferred\nInterest in revenue science, general forecasting and estimation concepts\nExcellent ability to identify and proactively solve problems (data modeling)\nComfortable with one or more programming languages (Java, Python or SAS)\nStrong written, verbal, and interpersonal communications skills\nProgramming: Proficiency in Python (primary), with working knowledge of SQL and RESTful APIs\nAI / Machine Learning: Familiarity with large language models (LLMs), prompt engineering, RAG, and foundational ML concepts\nData Handling: Strong SQL querying skills, experience with Pandas for data manipulation, and ability to perform basic analytical tasks\nNice to Have…\nHands-on experience with LangChain, LangGraph, or similar agentic AI frameworks\nUnderstanding of hospitality and revenue management principles\nBackground in time-series forecasting or demand planning\nFamiliarity with dashboarding and visualization tools (e.g., Streamlit, Plotly, Dash)\nWe Support Who You Are….\nAs 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.\nAt 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.\nAdditional 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.\nSAS 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.\nEquivalent combination of education, training, and relevant experience may be considered in place of the education requirement stated above.\nResumes may be considered in the order they are received.\nIDeaS/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.\nIDeaS/SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.","description_format":"text","description_chars":4774,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Predictive Analytics","BI & Dashboard Software","Data Science & Notebook Platforms"],"lifecycle":[{"event":"open","at":"2026-10-03T00:23:51Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":18,"reasons":["conf:5","win:early","comp:junior"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/sas-data-science-research-internship","json_url":"https://alion.io/job/sas-data-science-research-internship.json","meta":{"generated_at":"2026-10-04T01:15:16Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1633,"day_limit":5000,"remaining_today":3367,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}