Data Scientist - Machine Learning

United Airlines; India; On-site; INR 2,400,000 - 4,500,000; Full time

Job summary

United Airlines seeks a Data Scientist to design scalable AI solutions that enhance customer experience and business efficiency. You will build production-grade workflows in Python and SQL, harness large language models, retrieval-augmented generation, and agentic AI frameworks to deliver reliable insights and measurable value.

Collaborating with cross-functional teams, you will translate complex business needs into practical AI products, implement observability, and ensure robust model

Qualifications

• Master’s or Ph.D. degree in a STEM field.
• 4–7+ years of industry experience in AI engineering, data science, ML, or analytics with production deployment.
• Advanced proficiency in Python and SQL, with software engineering practices and data pipelines.

Responsibilities

• Designs, develops, and implements scalable AI/Generative AI solutions that improve customer experience and efficiency.
• Partners with cross-functional teams to translate business needs into practical AI solutions and communicate findings effectively.

Skills

Python

SQL

Data pipelines

MLOps/LLMOps

Generative AI

Prompt engineering

Distributed databases

English fluency

Education

Master's or Ph.D. in STEM

STEM field degree

Tools

Snowflake

BigQuery

SQL Server

Teradata

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

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.
• Experience deploying and scaling enterprise Generative AI applications, particularly multi‑agent frameworks or enterprise‑scale Retrieval‑Augmented Generation.
• Relevant cloud, machine learning, or MLOps certification.