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Strong employer brand, popular Data Scientist title, and broad ML/LLM skillset increase applicant competition.
Core ML and data skills are highly transferable across industries despite airline-specific domain knowledge.
Explicit 0–3 years requirement plus mandatory ML, programming, and LLM skills create moderate filtering.
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Collaborate with cross-functional teams to analyze data and deliver AI/ML-powered solutions impacting multiple departments including operations and customer service.
Develop, prototype, and deploy machine learning models including classical ML, Generative AI, multi-modal (text, voice, vision) models, and agentic systems to automate processes and drive revenue.
Research and incorporate latest ML, DL, and Generative AI techniques; communicate insights clearly to technical and business stakeholders.
Bachelor's degree in Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, or Economics.
0-3 years of relevant work experience in analytics or data science including internships.
Proficiency in Python or R, SQL, Excel, and intermediate knowledge of machine learning algorithms like Decision Trees, Random Forest, XGBoost, GBM, and KMeans clustering.
Local employment terms only; no expatriate assignments or visa sponsorship available.
Experience or strong interest in applying ML and Generative AI techniques including Large Language Models and agentic application frameworks.
Comfortable working with large datasets and capable of bridging technical ML details with business context for varied audiences.
Able to leverage modern AI-assisted development tools and cloud platforms (AWS/Azure) for rapid prototyping and deployment.