Data Scientist

apartmentAtain placeAbu Dhabi calendar_month 

Job Description

Data Scientist

Location: Abu Dhabi, UAE

Full-time

Exp.: 7-8+ Yrs.

Key Skills: Generative AI, Regression, Modeling, LLM

(Revenue management exp. is preferred)

Role Overview

We are seeking a highly skilled Data Scientist with strong expertise in Machine Learning and AI, along with experience in the airline or aviation domain. The ideal candidate will drive data-driven innovation, build scalable AI solutions, and enhance customer and operational experiences within the travel ecosystem.

Key Responsibilities
  • Design, develop, and deploy Machine Learning and AI models to solve business problems in the airline domain (e.g., pricing, demand forecasting, customer experience, operations).
  • Build and implement advanced analytics solutions using NLP, deep learning, and Generative AI techniques.
  • Develop AI-powered applications such as chatbots, recommendation systems, and intelligent automation tools.
  • Work with large-scale structured and unstructured datasets to extract actionable insights.
  • Collaborate with cross-functional teams including business, engineering, and product teams to deliver impactful solutions.
  • Deploy scalable solutions using cloud platforms (AWS/GCP/Azure) and modern frameworks.
  • Monitor model performance and continuously improve accuracy and efficiency.
Required Skills & Qualifications
  • Strong experience in Machine Learning, Deep Learning, and AI techniques.
  • Hands-on experience with NLP, LLMs, and/or Generative AI (RAG, chatbots, etc.).
  • Proficiency in Python, SQL, and data processing tools (e.g., PySpark).
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Knowledge of model deployment frameworks (FastAPI, Flask, Docker).
  • Experience working in the airline/travel domain (pricing, operations, customer analytics, etc.) is highly preferred.
  • Strong problem-solving skills and ability to translate business problems into analytical solutions.
Preferred Qualifications
  • Experience with real-time data processing and AI-driven automation.
  • Familiarity with tools like LangChain, Snowflake, or similar modern data platforms.
  • Prior experience working in global or cross-functional teams.

It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.

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