Analyst - Data Scientist Machine Learning

Actively Reviewing the Applications

United Airlines

India, Haryana, Gurugram Full-Time On-site

Posted 3 weeks ago • Apply by May 26, 2026

Job Description

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.

Come join us to create what’s next. Let’s define tomorrow, together.

Description

United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.

Job Overview And Responsibilities

High-level statement outlining the overall objective or reason the job exists. Should be 3 to 5 sentences. This should not read like a job posting (i.e. do not use the word “candidate”).

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 in developing smart and innovative solutions across many of United’s departments.

Working on projects in conjunction with business teams to identify opportunities for improvement, gather and analyze information and data, develop improvements and innovations
Apply knowledge of statistics, machine learning, programming, and data modeling to recognize patterns, identify opportunities, evaluate business opportunities, and deliver valuable insights
Effectively structure communication of insights from work streams and deliver clear and professional presentations to the team/team leaders/managers/stakeholders
Apply techniques including regression models, decision trees, random forests, gradient boosting, support vector machines, clustering, and NLP/CV algorithms
Formulate and develop end-to-end project pipelines to deploy scalable solutions on company platforms
Execute solutions to business problems using data analysis, machine learning and optimization tools
Research latest machine learning approaches and share the knowledge across the team

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. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded.

Qualifications

What’s needed to succeed (Minimum Qualifications):

Bachelor's degree in Quantitative field like Math, Statistics, Operations Research
Full time 3-4 years relevant work experience in analytics/data science
Proven comfort and an intellectual curiosity for working with very large sets of data, and hands-on knowledge in predictive modeling
Excellent analytical and problem-solving skills
Proficiency in Programming Languages (Python), SQL, Excel and other Microsoft Office products
Proficiency with mathematics and statistical analysis with significant hands-on experience in AI / Data Science.
Knowledge in machine learning algorithms like Regression, Bagging (Decision Trees, RF), Boosting (XGBoost, GBM) , Clustering (KMeans), NLP
Ability to bridge business context with technical details and explain and discuss mathematical and machine learning technicalities to a business audience
Ability to work as an individual contributor
Strong interpersonal skills with a focus on teamwork

What will help you propel from the pack (Preferred Qualifications):

Master's degree
Data Science, Business Analytics, Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics
Previous airline business experience
Knowledge of deep learning/neural networks and experience with CV
Sound understanding in AWS Services including Sagemaker, Redshift, Athena, S3 & AWS data lake
Experience in developing & deploying the end-to-end data science pipeline into production