Must already have the right to workExpatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded
Strong proficiency in Python and SQL, with experience working with large and complex datasets.
Experience across the end-to-end machine learning lifecycle, from data preparation and model development to evaluation and production deployment.
Hands-on experience with classification, regression, ensemble methods, gradient boosting, and clustering.
Hands-on experience building AI solutions using Generative AI and foundation models, including prompt engineering, embeddings, vector search, RAG, and AI agents.
Ability to translate business problems into AI/ML solutions and define appropriate success metrics.
Strong proficiency in Python and SQL, with experience working with large and complex datasets.
Experience across the end-to-end machine learning lifecycle, from data preparation and model development to evaluation and production deployment.
Hands-on experience with classification, regression, ensemble methods, gradient boosting, and clustering.
Hands-on experience building AI solutions using Generative AI and foundation models, including prompt engineering, embeddings, vector search, RAG, and AI agents.
Ability to translate business problems into AI/ML solutions and define appropriate success metrics.
Education & alternatives
What’s needed to succeed (Minimum Qualifications):
- Bachelor's degree in engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics
- Full-time 2+ years relevant work experience in analytics/data science
What will help you propel from the pack (Preferred Qualifications):
- Master's degree/ MTech in Data Science, Business Analytics, Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics
- Hands-on experience with deep learning and neural networks, including frameworks such as PyTorch or TensorFlow.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 49
541
Up longer than most. Similar jobs usually come down between day 5 and day 41.
Well past United Airlines’s usual: its jobs come down by about day 10.
From 12,187 similar postings that came down, and 221 of United Airlines’s. Coming down is not always a hire.
United Airlines is hiring
13 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
SQL
AWS
Redshift
S3
SageMaker
PyTorch
TensorFlow
Where the posting names them
- Strong foundation in machine learning, statistics, and applied mathematics, with hands-on experience solving real-world business problems using data and AI.
- Strong proficiency in Python and SQL, with experience working with large and complex datasets.
- Experience across the end-to-end machine learning lifecycle, from data preparation and model development to evaluation and production deployment.
- Experience building production-grade AI/ML systems, including model serving, inference, monitoring, performance optimization, and model lifecycle management.
- Experience with AWS and cloud-based ML platforms, particularly SageMaker, S3, Redshift, Athena, and data lake architectures.
- Experience with MLOps and ML engineering practices, including CI/CD, model versioning, experiment tracking, automated pipelines, and monitoring.
- Master's degree/ MTech in Data Science, Business Analytics, Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics
- Hands-on experience with deep learning and neural networks, including frameworks such as PyTorch or TensorFlow.
- Experience in one or more AI domains such as Computer Vision, Generative AI, Large Language Models (LLMs), or Natural Language Processing.
Complete your application on ual-pro.taleo.net. The employer’s form will show what is required.
Applying through Phenom
Phenom runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Yes. We’ve followed 5 other Analyst - Data Scientist Machine Learning jobs there since April 2026. 5 came down, usually after about 42 days.
GurugramCame down after 42 days, first seen Apr 15
GurugramCame down after 55 days, first seen Apr 23
GurugramCame down after 101 days, first seen Jul 15
GurugramCame down after 26 days, first seen Jul 16
This jobUp 49 days so far, first seen Sep 21
GurugramCame down after 7 days, first seen Oct 22
Apr 15Today
Large employers often post one title for several teams, so these can be separate openings.
About United Airlines
People
About 113,200 in 2025, up 6% from the year before.Annual report (SEC Form 10-K)
Company
Listed as UAL.
H-1B visas
3 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Analyst roles
New Analyst postings at the employers we follow are up 18% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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
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 in partnership with business teams to identify opportunities for improvement, gather and analyze information and data, developing solutions & driving innovation
Apply knowledge of statistics, machine learning, programming, and data modeling to recognize patterns, identify opportunities, evaluate business opportunities, and deliver high impact models
Effectively structure communication of insights from work streams and deliver clear and professional presentations to the team/team leaders/managers/stakeholders
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
Mentoring junior resources on data science skills
Research on latest machine learning models 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. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.
Qualifications
What’s needed to succeed (Minimum Qualifications):
Full-time 2+ years relevant work experience in analytics/data science
Strong foundation in machine learning, statistics, and applied mathematics, with hands-on experience solving real-world business problems using data and AI.
Strong proficiency in Python and SQL, with experience working with large and complex datasets.
Experience across the end-to-end machine learning lifecycle, from data preparation and model development to evaluation and production deployment.
Hands-on experience with classification, regression, ensemble methods, gradient boosting, and clustering.
Hands-on experience building AI solutions using Generative AI and foundation models, including prompt engineering, embeddings, vector search, RAG, and AI agents.
Ability to translate business problems into AI/ML solutions and define appropriate success metrics.
Strong analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
Ability to work effectively as an individual contributor and collaborate with cross-functional teams
What will help you propel from the pack (Preferred Qualifications):
Master's degree/ MTech in Data Science, Business Analytics, Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics
Hands-on experience with deep learning and neural networks, including frameworks such as PyTorch or TensorFlow.
Experience in one or more AI domains such as Computer Vision, Generative AI, Large Language Models (LLMs), or Natural Language Processing.
Experience building production-grade AI/ML systems, including model serving, inference, monitoring, performance optimization, and model lifecycle management.
Experience with AWS and cloud-based ML platforms, particularly SageMaker, S3, Redshift, Athena, and data lake architectures.
Experience with MLOps and ML engineering practices, including CI/CD, model versioning, experiment tracking, automated pipelines, and monitoring.
Experience working with distributed data processing and large-scale machine learning.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Pay
No pay amount identified in the saved description.
Location & working pattern
Gurugram, Haryana, India
Working pattern and location restrictions need checking in the full posting.
Work authorization
- Research on latest machine learning models 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. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.
Qualifications