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Description
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 AI & ML 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, boost customer engagement and to automate manual processes by leveraging state-of-the-art ML techniques. Data Scientists contribute to developing smart and innovative solutions across many of United’s departments. Data Scientists contribute to developing smart and innovative solutions across many of United’s departments. A growing share of this work involves Generative AI and agentic systems — LLM-powered assistants, and multi-modal AI (Voice and Image)— deployed into production to augment contact center, operations, and customer-facing teams. Data Scientists are expected to grow comfortable working alongside these techniques in addition to classical machine learning.

Job overview and responsibilities
• Work with other data scientists and a variety of stakeholders (IT, DE, business, etc.) to gather and analyze data on United's various operations, delivering high-quality models and fact-based, data-driven recommendations

Execute solutions to business problems using data analysis, machine learning and optimization tools, GenAI/LLM techniques (e.g., Agentic, prompt engineering), and optimization tools

Execute and deploy solutions by leveraging the latest AI-assisted tools and techniques — such as coding agents, AI design and prototyping tools, and agentic frameworks — to rapidly prototype, build, and ship high-quality solutions with greater speed and efficiency

Work with multiple multi-modal models spanning text, voice, and vision, and build data transfer pipelines and model monitoring to support their scalable deployment

Research latest ML, DL and GenAI approaches to enable solutions to solve for different vertical teams and also to share the knowledge across the team

Effectively structure communication of insights from work streams and deliver clear and professional presentations to the team/team leaders/managers

Partner and engage with data engineering and operations teams to inform and support business stakeholders with day-to-day project updates.

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 Qualifications:
• BTech/Bachelor’s degree

Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics

• Full time or internship experience in analytics/data science

• 0-3 years relevant work experience

• Excellent analytical and problem-solving skills

Proficiency in Programming Languages (Python/R), SQL, Excel and other Microsoft Office products

Intermediate knowledge in machine learning algorithms like Bagging (Decision Trees, RF), Boosting (XGBoost, GBM) , Clustering (KMeans)

Proven comfort and an intellectual curiosity for working with very large sets of data

• Understanding of probability & statistics

Ability to bridge business context with technical details and explain and discuss mathematical and machine learning technicalities to a business audience

• Strong interpersonal skills with a focus on teamwork

Preferred Qualifications:
• MTech/Master’s degree

Data Science, Business Analytics, Engineering, Technology, Computer Science, , Statistics, Operations Research, Applied Mathematics, Economics

• Knowledge of deep learning/neural networks and experience with NLP/CV

Exposure to Large Language Models (LLMs), and Agentic application design and frameworks (e.g. Langgraph/Langchain)