Data Scientist – AI

Miral Destinations; Abu Dhabi; Sur place; AED 420 000 - 660 000; Plein temps

Résumé du poste

Miral Destination is seeking a Data Scientist to join its dedicated AI team in Abu Dhabi. You will analyze destination data, develop and fine-tune AI/ML models, and produce actionable insights aligned with Miral Destination’s AI roadmap.

You will collaborate with the ML Ops Engineer to move models from experimentation into production and partner with stakeholders to deliver data-driven decisions. The role requires 3–5 years in DS/ML, strong Python and Databricks experience (MLflow), and a solid

Qualifications

• 3–5 years in Data Science, ML, or Advanced Analytics.
• Strong data analysis and machine learning skills.
• Hands-on Python and Databricks (MLflow).
• Experience with AI model development and evaluation.
• Understanding of RAG, LLMs and vector databases.
• Data storytelling to turn analysis into insights.
• Collaboration with ML Ops to deploy and monitor models.

Responsabilités

• Analyze Miral Destination datasets to uncover patterns and inform destination decisions.
• Develop, train and fine-tune AI/ML models for Miral Destination use cases.
• Build RAG pipelines and LLM-based solutions on Databricks.
• Generate clear insights and visualizations to support business objectives.
• Collaborate with ML Ops to productionize and monitor models.
• Translate stakeholder requirements into DS deliverables.
• Align work with enterprise AI governance and data management standards.
• Collaborate with AI, Data Engineering, BI, and Enterprise Data teams.

Connaissances

Data science

Machine learning

Statistical modeling

Python

Databricks

MLflow

LLMs

RAG

Vector databases

Data storytelling

Model deployment

Formation

Bachelor’s or Master’s in Data Science/AI/CS

Outils

Databricks

MLflow

Vector databases

Description du poste

Serve 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 Scope

• Analyze Miral Destination datasets to uncover patterns, trends, and opportunities that inform destination decisions
• Develop, train, and fine-tune AI and machine learning models tailored to Miral Destination use cases
• Build RAG pipelines, vector databases, and LLM-based solutions on Databricks for Miral Destination applications
• Generate clear, actionable insights and visualizations that directly support Miral Destination business objectives
• Collaborate with the ML Ops Engineer to operationalize models, ensuring they are production-ready and monitored
• Translate requirements from Miral Destination stakeholders, via the Senior Manager AI, into data science deliverables
• Align all work with the enterprise AI architecture, governance, security, and data management standards set by the AI & Data organization
• Uphold data quality, model performance, governance, and responsible-AI standards across all Miral Destination work
• Collaborate with AI, Data Engineering, BI, and Enterprise Data teams across DTD to leverage shared capabilities, reusable assets, common platforms, and best practices.
• 3–5 years in Data Science, Machine Learning, or Advanced Analytics
• Demonstrated experience taking models from analysis through to deployment
• Strong data analysis, statistical modeling, and machine learning skills
• Hands-on experience with Python and Databricks (incl. MLflow)
• AI model development, fine-tuning, and evaluation
• Understanding of RAG, LLMs, and vector databases
• Data storytelling – turning analysis into clear, actionable insights
• Collaboration with ML Ops to deploy and monitor models

Education

• Bachelor’s or Master’s in Data Science, AI, Statistics, Computer Science, or related field