Advanced Analytics Internship

The opportunity Are you an undergraduate or graduate student seeking an internship in a fast-paced, inclusive environment with real-world learning opportunities? Delaware North Sportservice is hiring an Advanced Analytics Intern to join our team at our global headquarters in Buffalo, New York. As an Analytics Intern, you will help support high-impact analytics initiatives focused on revenue optimization, business performance analysis, reporting automation, and strategic decision-making across multiple Sportservice client locations. By participating in our internship program, you will gain valuable work experience, develop your leadership capabilities, and make an impact on the business. You will discover how a global hospitality company operates and work alongside exceptional team members who exemplify our values: Lean Forward, Come Together, Stand Up, Do Right, and Think Guest. Ready to help create the future of hospitality? Apply today to see why this internship is your best career move yet. Delaware North internships are paid and can be completed for academic credit. Summer internship dates typically span 10-14 weeks. Pay $25.00 - $35.00 / hour Information on our comprehensive benefits package can be found at https://careers.delawarenorth.com/whatweoffer . What we offer We care about our team member's personal and professional well-being. Delaware North provides a benefits package designed to give you the comfort, safety, and security you need to deliver exceptional experiences for our guests. All team members receive benefits including: Weekly pay Training and development opportunities Employee discounts Flexible work schedules Eligible team members may also receive: health, dental, and vision insurance, 401(k) with company match, paid vacation days and holidays, paid parental bonding leave, employee assistance program, and tuition and/or professional certification reimbursement. What will you do? Design, build, and maintain scalable data pipelines that support analytics, reporting, and machine learning initiatives Develop and deploy machine learning models for forecasting, optimization, and business decision making Apply AI techniques, including generative AI and automation tools, to improve workflows and accelerate insights delivery Partner with food and beverage, operations, and finance stakeholders to identify high-value opportunities for data-driven solutions Transform raw operational data into actionable insights through dashboards, reporting, and advanced analytics Ensure data quality, governance, accessibility, and source of truth datasets across systems for enterprise decision making Prepare, cleanse, standardize, enrich, and model large-scale datasets while optimizing SQL views, data models, and query performance for scalable access More about you Background in data science, computer science, statistics, engineering, or a related field Strong experience in data engineering, including ETL processes, data modeling, and pipeline development, with proficiency in programming languages such as Python and SQL Experience with machine learning frameworks and model development lifecycle Familiarity with AI technologies, including large language models, automation tools, or applied AI systems Familiarity with MLOps, deployment workflows, and production-grade AI systems Knowledge of cloud platforms, data warehouses, and modern analytics tools Excellent communication and collaboration abilities Shift details

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