Data Scientist

Data ScientistLocation: Abu Dhabi, UAE Full-timeExp.: 7-8+ Yrs.Key Skills: Generative AI, Regression, Modeling, LLM(Revenue management exp. is preferred)Role OverviewWe 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 ResponsibilitiesDesign, 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 & QualificationsStrong 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 QualificationsExperience 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.