United Airlines Intern - Statistics & Operations Research (Summer 2020) in Chicago, Illinois
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Continuous Improvement & Enterprise Optimization Overview
Continuous Improvement & Enterprise Optimization (CIEO) focuses on how we can advance the quality and efficiency of what we do across our operations and around the world. The objective of the group is to provide thought leadership through business insights and advanced analytics that challenge the status quo. We partner with a variety of business units (e.g. Airport Operations, Technical Operations, Network Planning, Revenue Management, etc.) to create value through process improvement, change management, analytical modeling and research.
Meet the CIEO Team
CIEO interns will work with Analysts/Sr. Analysts using analytical, technical, and consulting skills to complete value-added projects at United Airlines. Work includes leveraging big data to generate practical solutions to complex business problems by developing and validating operations research models and/or applying mathematical and statistical theory and methods. Interns are also expected to gain an understanding of both United as a business and how it generates value for its customers.
Apply expertise in mathematical modeling, operations research, statistics, neural networks or forecasting areas.
Work in one of several areas of focus including network planning and scheduling, revenue management, supply chain management, crew planning, operations or cargo.
Interact with team leader to develop requirements and understand business problem related to a significant research problem of value to United. Formulate and define scope and objectives through research and fact-finding to develop or modify an existing complex model.
Analyze data sources, integrity and trends to inform the analysis and forecasting work.
Develop prototype to solve the research problem, validate the prototype results and benchmark benefits.
Critical Skills and Experience
Internship requires a 3-month commitment during summer of 2020
Must be a current master’s or PhD student in Operations Research, Applied Mathematics, Statistics, Industrial Engineering or a related field
Prefer students graduating in late 2020 or by summer 2021, though will consider those graduating by summer 2022
Knowledge of modeling toolkits such as SAS, Python, R, OPL, CPLEX, VBA
Ability to work in Unix/Linux platforms with languages including C/C++, Java
Creativity and innovative thinking in developing solutions to complex business problems
Ability to document and present technical information from the business problem definition to the implementation stage in a way that effectively addresses varying levels of management and different audiences
Strong interpersonal skills with a focus on teamwork
Equal Opportunity Employer – Minorities/Women/Veterans/Disabled/LGBT
Division: 22 Enterprise Optimization
Function: Intern - MBA & Undergrad
Equal Opportunity Employer – Minorities/Women/Veterans/Disabled