Analyst - Data Scientist

Engineerhub; Gurgaon; On-site; INR 900,000 - 1,300,000; Full time

Job summary

United Airlines Knowledge Center (IKC) in Gurugram / Bengaluru is seeking a Data Scientist to design, develop, and deploy scalable AI and Generative AI solutions. You will build production-grade workflows using Python, SQL, LLMs, RAG, and agentic AI frameworks to improve customer experience and business decisions.

You will collaborate with cross-functional teams, perform advanced analyses, and ensure quality, safety, and relevance of AI outputs, while advancing observability and MLOps practices

Qualifications

• Master of Science or equivalent in a STEM field.
• Background in AI engineering, data science, analytics, or ML with production experience.
• Strong Python and SQL, Git, and experience with large relational data platforms.

Responsibilities

• Design, develop, and implement robust AI and Generative AI solutions.
• Build production-grade workflows, data pipelines, and applications using Python and SQL.
• Perform advanced analysis and feature engineering on structured/unstructured data.
• Implement prompt engineering, LLM experiments, and evaluation frameworks.
• Develop and scale RAG pipelines and agentic AI workflows.
• Maintain AI observability and MLOps practices; communicate risks and findings.

Skills

Python

SQL

Git

LLMs

Prompt engineering

Embeddings

RAG

Agentic AI

AI observability

MLOps

Excel

PowerPoint

Communication

Education

Master of Science in STEM

Tools

Microsoft SQL Server

Snowflake

BigQuery

Teradata

LangSmith

MLflow

RAGAS

TruLens

Job description

Job Description

Established in 2015 and based in Gurugram and Bengaluru, India Knowledge Center (IKC) is home to a growing team of world‑class professionals supporting management functions across all areas of United Airlines, including digital technology, engineering, customer and commercial analytics, operations and finance. We’re at the forefront of innovation, creating intelligent solutions and forward-thinking strategies that help United Airlines connect the world with greater speed, precision and purpose.

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.

• Design, develop, test, and deploy robust AI and Generative AI solutions that improve customer experience, operational efficiency, and business decision‑making.
• Build and deploy production‑grade workflows, applications, and data pipelines using Python, SQL, relational databases, and modern AI tools.
• Perform advanced exploratory analysis and feature engineering across structured and unstructured datasets to support scalable AI and Generative AI use cases.
• Implement prompt engineering strategies, conduct LLM experiments, and apply output evaluation frameworks to ensure quality, relevance, accuracy, safety, and business usefulness.
• Develop and scale Retrieval‑Augmented Generation pipelines and integrate agentic AI frameworks for multi‑step reasoning and workflow automation.
• Implement AI observability and MLOps practices to monitor model behavior and system reliability; collaborate with cross‑functional teams and communicate findings, risks, and recommendations to stakeholders.

Qualifications

What’s needed to succeed (Minimum Qualifications):

• Candidates must hold a Master of Science or equivalent postgraduate degree in a STEM field.
• Data Science, Statistics, Engineering, Computer Science, Operations Research, or a related STEM field.
• 1–2 years of industry experience in AI engineering, data science, analytics, or machine learning, including practical experience moving models or analytical workflows toward production.
• Strong Python and SQL proficiency; software engineering fundamentals, including Git; experience with large relational datasets and platforms such as Microsoft SQL Server, Snowflake, BigQuery, or Teradata; practical knowledge of LLMs, prompt engineering, embeddings, RAG, and agentic AI; AI observability and MLOps; strong analytical problem‑solving; ability to create clear Excel and PowerPoint presentations
• Exhibit strong spoken and written communication fluency
• Must be legally authorized to work in India for any employer without sponsorship

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 Generative AI applications in a production or staging environment, particularly RAG or LLM‑based workflows.
• Relevant cloud, machine learning, or MLOps certification
• Experience with RAGAS or TruLens; LangSmith or MLflow; regression, classification, ensemble methods, and common evaluation metrics; cloud platforms and cloud‑based data environments such as AWS, Azure, or GCP.