United Airlines is hiring an Analyst – Data Scientist for its Digital Technology team in Gurugram, Haryana. Candidates must hold a Master of Science or equivalent postgraduate degree in a STEM field and have 1–2 years of relevant industry experience; the listing does not set a batch-year condition. The role focuses on building production-grade AI and Generative AI applications using Python, SQL, large language models, Retrieval-Augmented Generation and agentic AI frameworks. It is worth considering for professionals who want hands-on exposure to airline-scale customer, operational and decision-making use cases.
Company Overview
United Airlines is an airline company with a Digital Technology team that develops and maintains large-scale technology solutions across data analytics, digital products and innovative architectures. This position is offered through United Airlines Business Services Pvt. Ltd., a wholly owned subsidiary of United Airlines Inc., giving candidates experience within a major aviation business and its extensive route network.
| Company Name | United Airlines |
| Job Role | Analyst – Data Scientist |
| Qualification | Master of Science or equivalent postgraduate degree in a STEM field, such as Data Science, Statistics, Engineering, Computer Science, Operations Research or a related field |
| Salary | Rs. 10-16 LPA (estimated) |
| Job Location | Gurgaon |
| Experience | 1–2 years of industry experience in AI engineering, data science, analytics or machine learning |
| Employment Type | Full Time |
| Category | Freshers Job |
Role Overview
The Analyst – Data Scientist will turn business needs into reliable AI solutions, analytical workflows and automation applications. The role covers the complete journey from exploratory analysis and experimentation to deployment, monitoring and communication with stakeholders.
- Develop scalable AI and Generative AI solutions for customer experience, efficiency and business decisions.
- Work with structured and unstructured data to create useful analytical and machine learning use cases.
- Build production-grade applications, workflows and data pipelines for real-world business use.
- Apply prompt engineering, evaluation methods and observability practices to improve AI output quality and reliability.
Eligibility & Qualifications
- Master of Science or equivalent postgraduate degree in a STEM field.
- Relevant fields include Data Science, Statistics, Engineering, Computer Science, Operations Research or a related STEM discipline.
- 1–2 years of industry experience in AI engineering, data science, analytics or machine learning.
- Practical experience moving models or analytical workflows towards production.
- Strong Python and SQL proficiency, along with software engineering fundamentals including Git.
- Applicants must be legally authorised to work in India for any employer without sponsorship.
Key Responsibilities
- Design, develop, test and deploy robust AI and Generative AI solutions.
- Build applications and data pipelines using Python, SQL, relational databases and modern AI tools.
- Perform exploratory analysis and feature engineering across structured and unstructured datasets.
- Run large language model experiments and implement prompt engineering strategies.
- Use output evaluation frameworks to assess quality, relevance, accuracy, safety and business usefulness.
- Develop and scale Retrieval-Augmented Generation pipelines.
- Integrate agentic AI frameworks for multi-step reasoning and workflow automation.
- Implement AI observability and MLOps practices to monitor model behaviour and system reliability.
- Collaborate with cross-functional teams and communicate findings, risks and recommendations to stakeholders.
Skills Required
- Python, SQL and Git.
- Experience with large relational datasets and platforms such as Microsoft SQL Server, Snowflake, BigQuery or Teradata.
- Knowledge of large language models, prompt engineering, embeddings, Retrieval-Augmented Generation and agentic AI.
- Understanding of AI observability and MLOps.
- Strong analytical and problem-solving ability.
- Ability to create clear Excel and PowerPoint presentations.
- Strong spoken and written communication skills.
- Preferred knowledge of machine learning, artificial intelligence, applied statistics or cloud computing.
- Preferred experience with RAGAS, TruLens, LangSmith, MLflow, regression, classification, ensemble methods and common evaluation metrics.
- Familiarity with AWS, Azure, GCP or other cloud-based data environments is preferred.
Why Join United Airlines
The role offers exposure to cutting-edge technology projects involving Generative AI, scalable data platforms and production MLOps practices. United also highlights career growth, health and wellness benefits, lasting connections with teams and customers, and access to travel across its extensive route network.
How to Apply for United Airlines Hiring 2026
Eligible and Interested candidates can apply using the below-mentioned link before the link expires. Applicants need to register with the company portal in order to complete the registration process.
Apply Link: Click Here To Apply
