Analyst – Data Scientist

United Airlines typically conducts a three‑stage interview process: an initial online assessment focusing on aptitude and coding, followed by a technical interview that dives deep into AI/ML fundamentals, Python/SQL proficiency, and system design. The final HR round assesses cultural fit, communication skills, and work‑authorization status. Candidates should be prepared for scenario‑based questions and practical coding exercises.

Round 1: Online Assessment (aptitude + coding) → Round 2: Technical Interview (AI/ML concepts, Python/SQL coding, system design) → Round 3: HR Interview (fit, communication, work‑authorization).

United Airlines fosters a collaborative and inclusive work environment where safety and innovation are paramount. Employees enjoy global exposure, structured learning programs, and a balanced work‑life schedule supported by flexible policies. The company emphasizes career growth through mentorship, internal mobility, and continuous upskilling.

Postgraduate STEM degree (M.E/M.Tech/M.Sc or equivalent) in Data Science, Statistics, Computer Science, Engineering, Operations Research or related field; Minimum 60% aggregate (or equivalent CGPA) in the qualifying degree; 1–2 years of relevant industry experience in AI engineering, data science, analytics or machine learning; Must be legally authorized to work in India without sponsorship; No active backlogs at the time of application.

United Airlines, a global leader in aviation, operates a vast network spanning six continents and employs over 90,000 people worldwide. In India, United has been expanding its digital and data capabilities to enhance passenger experience, streamline operations, and drive strategic decision‑making. The company prides itself on a culture of safety, innovation, and inclusivity, offering employees the chance to work on high‑impact projects that touch millions of travelers every day. With a strong focus on technology, United Airlines invests heavily in AI, cloud platforms, and data‑driven solutions, making it an attractive destination for aspiring data professionals. The Analyst – Data Scientist role in Gurugram sits at the intersection of data science, software engineering, and generative AI. Reporting to the AI Solutions team, the incumbent will be responsible for turning raw data and experimental AI models into production‑grade services that improve customer experience, operational efficiency, and business insights. The position demands a blend of strong programming skills, deep understanding of large language models, and hands‑on experience with MLOps and AI observability. **Key Responsibilities** 1. Design, develop, test, and deploy production‑grade AI and Generative AI solutions using Python and SQL. 2. Build and maintain robust data pipelines on platforms such as Microsoft SQL Server, Snowflake, BigQuery, or Teradata. 3. Implement Retrieval‑Augmented Generation (RAG) pipelines, manage embeddings, and integrate agentic AI frameworks for multi‑step reasoning. 4. Conduct prompt‑engineering experiments, evaluate LLM outputs for relevance, accuracy, and safety, and iterate based on findings. 5. Apply MLOps best practices—version control, CI/CD, monitoring, and AI observability—to ensure reliable model performance in production. 6. Collaborate with cross‑functional stakeholders to translate ambiguous business problems into actionable AI solutions. 7. Prepare clear visualizations, dashboards, and presentations using Excel and PowerPoint to communicate insights to senior leadership. 8. Stay updated with the latest advancements in generative AI, cloud services, and data engineering, and mentor junior team members. **Tech Stack**: Python, SQL, Git, Microsoft SQL Server / Snowflake / BigQuery / Teradata, AWS / Azure / GCP, LLMs (e.g., GPT‑4, Claude), LangChain, LangSmith, MLflow, RAGAS, TruLens, Docker, Kubernetes. **Growth Path**: Successful analysts can progress to Senior Data Scientist, AI Solutions Architect, or AI Product Manager roles, with opportunities to lead cross‑functional AI initiatives across United’s global operations. **Why Join United Airlines?** United offers a dynamic, multicultural environment where data professionals can work on cutting‑edge AI projects that have real‑world impact on millions of travelers. Employees benefit from competitive compensation, continuous learning programs, and clear career advancement pathways, all while contributing to a company renowned for safety, innovation, and customer focus.