Data Scientist - Machine Learning
- Location
- Gurugram, Haryana, India
- Work mode
- On-site
- Employment type
- Full-time
About the job
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 Job overview and responsibilities The Data Scientist designs, develops, and implements scalable AI and Generative AI solutions that improve customer experience, business efficiency, and decision-making. The role builds production-grade applications and workflows using Python, SQL, large language models, Retrieval-Augmented Generation, and agentic AI frameworks. It applies advanced analysis, prompt engineering, evaluation, and observability practices to deliver reliable and useful AI capabilities. The role partners with cross-functional teams to translate ambiguous business needs into practical solutions and clearly communicate findings and recommendations.
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. Qualifications What’s needed to succeed (Minimum Qualifications):
- Master’s or Ph.D. degree.
- Data Science, Statistics, Engineering, Computer Science, Operations Research, or a related STEM field.
- 4–7+ years of industry experience in AI engineering, data science, machine learning, or applied advanced analytics, including production model deployment.
- Advanced proficiency in Python and SQL, with software engineering best practices including object-oriented programming, Git, and CI/CD; experience architecting data pipelines and working with large datasets in relational or distributed databases such as Snowflake, BigQuery, SQL Server, or Teradata; deep expertise in Generative AI, including prompt engineering, LLM fine-tuning, embeddings, RAG, vector databases, and Agentic AI frameworks; hands-on MLOps or LLMOps experience covering model monitoring, latency management, drift mitigation, and system reliability;
- Fluent in written and spoken English.
What will help you propel from the pack (Preferred Qualifications):
- Advanced coursework or specialization in machine learning, artificial intelligence, applied statistics, or cloud computing. <span class="EOP Selected SCXW176973378 BCX8" style="-webkit-tap-highlight-color:transparent;-webkit-text-stroke-width:0px;-webkit-user-drag:none;border-bottom-color:rgb(198, 198, 198);border-left-color:!important;border-right-color:!important;border-top-color:rgb(198, 198, 198);cursor:default;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:14px;margin:0px;orphans:2;padding:0px;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-tra
From United Airlines Holdings's careers page (Company careers page), checked 29 Oct 2026.
How to apply
- Select Apply on united.com. It opens United Airlines Holdings's own application form in a new tab, run on Company careers page.
- Fill in the form and upload your résumé there. Jobiwork never sees your application.
- United Airlines Holdings will reply to you directly. No real employer asks you for money to apply.
Posted 29 Oct 2026 · checked 29 Oct 2026 · Report this job