Data Scientist – AI

Job OverviewServe as a dedicated Data Scientist within the specialized Miral Destination AI team, working exclusively on initiatives that advance Miral Destination. Analyze Miral Destination data, develop and fine-tune AI and machine learning models, and generate actionable insights that directly support Miral Destination’s business objectives. Partner closely with the ML Ops Engineer to move models from experimentation into production, and report to the Senior Manager AI to ensure all work aligns with the destination’s AI roadmap and priorities.Job ScopeAnalyze Miral Destination datasets to uncover patterns, trends, and opportunities that inform destination decisionsDevelop, train, and fine-tune AI and machine learning models tailored to Miral Destination use casesBuild RAG pipelines, vector databases, and LLM-based solutions on Databricks for Miral Destination applicationsGenerate clear, actionable insights and visualizations that directly support Miral Destination business objectivesCollaborate with the ML Ops Engineer to operationalize models, ensuring they are production-ready and monitoredTranslate requirements from Miral Destination stakeholders, via the Senior Manager AI, into data science deliverablesAlign all work with the enterprise AI architecture, governance, security, and data management standards set by the AI & Data organizationUphold data quality, model performance, governance, and responsible-AI standards across all Miral Destination workCollaborate with AI, Data Engineering, BI, and Enterprise Data teams across DTD to leverage shared capabilities, reusable assets, common platforms, and best practices.Job Essentials3–5 years in Data Science, Machine Learning, or Advanced AnalyticsDemonstrated experience taking models from analysis through to deploymentStrong data analysis, statistical modeling, and machine learning skillsHands-on experience with Python and Databricks (incl. MLflow)AI model development, fine-tuning, and evaluationUnderstanding of RAG, LLMs, and vector databasesData storytelling – turning analysis into clear, actionable insightsCollaboration with ML Ops to deploy and monitor modelsEducationBachelor’s or Master’s in Data Science, AI, Statistics, Computer Science, or related field