The Analytics and Innovation (Ai) team at United Airlines works to innovate, transform, and solve complex business problems resulting in significant and measurable enterprise impact through the application of deep cross-functional business expertise and advanced analytics.  We work with business and technology partners across the enterprise (e.g. Airport Operations, Contact Centers, Network Planning, Revenue Management, Digital Products, Human Resources, etc.) to influence strategic decisions, enterprise strategy, business process, and to help connect the dots across the enterprise. We aim to be an organization with whom and within everyone loves to work!
    
Data Scientists within Ai partner with business and technology leaders across the company to deploy machine learning powered solutions to support and automate business processes. The team works closely with other teams in digital technology with complementing skills and capabilities. The key objectives are to drive incremental revenue, reduce costs, and boost customer engagement by leveraging state-of-the-art Machine Learning techniques. Data Scientists contribute in developing smart and innovative solutions across many of United’s departments.  

• Working on projects in partnership with business teams to identify opportunities for improvement and gathering and analyzing information and data.
• Delivering high quality ML solutions and maintaining proper documentation to foster seamless workflows and code-reusability principles.
• Effectively structuring communication of insights from workstreams and delivering clear and professional presentations to the team/team leaders/managers/stakeholders.

This position is offered on local terms and conditions.  Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded.  This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.

Qualifications

Required 

• Bachelor’s degree (ongoing/completed) in Engineering, Technology, Computer Science, Statistics, Operations Research, Industrial Engineering, Applied Mathematics, Economics
• Available for 6 months
• No prior industry experience required
• Strong ML fundamentals – Model Training/Valiation, Bagging/Boosting, GBDT, Neural Networks etc.
• Proficient with Python & SQL