Data Scientist AI Engineer

Emirates; Dubai; On-site; AED 350,000 - 550,000; Full time

Benefits offered by this job

Tax-free salary

Travel benefits

Discounted flights

Hotel stays

Job summary

Emirates Group Analytics Centre of Excellence (ACoE) invites a Data Scientist/AI Engineer to power decisions with data, AI and innovation across core aviation and travel brands. You will transform vast data into insights, intelligent products and measurable business outcomes.

You will deploy ML, GenAI and Agentic AI solutions across commercial, operational and customer domains, partnering with stakeholders to scale data science assets and enable decision making in an agile environment.

Qualifications

• MSc or PhD in Data Science, AI, ML, Mathematics, Statistics or related quantitative field.
• 2-4+ years of experience delivering advanced analytics or AI solutions in a commercial environment.
• Strong hands-on experience across the modern Data Science ecosystem.
• Proficiency in Python, SQL and modern analytical toolsets; experience with Spark and distributed processing.
• Experience with AI Engineering practices including model deployment, monitoring, evaluation, and scalable AI apps.
• Experience building reusable libraries, APIs or production-grade data science solutions.
• Excellent communication and ability to explain complex concepts to non-technical stakeholders.

Responsibilities

• Develop and deploy ML, GenAI and analytics solutions with measurable business impact.
• Analyze large structured, semi-structured and unstructured data to uncover insights.
• Build predictive, prescriptive and optimisation models for business problems.
• Partner with stakeholders to translate questions into data science solutions.
• Create visualisations, dashboards and analytical tools for decision-making.
• Contribute to reusable libraries, frameworks and production-ready assets.
• Apply A/B testing, segmentation and customer analytics techniques.
• Collaborate with engineers, analysts and product teams in an agile delivery environment.
• Support AI-powered products and intelligent automation capabilities.

Skills

Python

SQL

Spark

GenAI

LLM

MLOps

Git

Docker

CI/CD

Communication

Education

MSc/PhD in Data Science

Tools

Docker

Git

Spark

CI/CD

Job description

Job Description:

Job Purpose

Join the Emirates Group Analytics Centre of Excellence (ACoE), where data, AI and innovation power decisions across one of the world's most recognised aviation and travel brands.

As a Data Scientist/AI Engineer, you will solve complex business challenges using machine learning, advanced analytics, GenAI and Agentic AI. Working across commercial, operational and customer domains, you will transform vast amounts of data into actionable insights, intelligent products and measurable business outcomes.

This is an opportunity to work on real-world, large-scale problems while helping shape the future of AI and data-driven decision making at Emirates Group.

In This Role, You Will

• Develop and deploy machine learning, Agentic AI and analytics solutions that drive measurable business impact.
• Analyse large structured, semi-structured and unstructured datasets to uncover insights and opportunities.
• Build predictive, prescriptive and optimisation models to solve business challenges across the Emirates Group.
• Partner with stakeholders to translate complex business questions into scalable data science solutions.
• Create visualisations, dashboards and analytical tools that support decision-making.
• Contribute to the development of reusable libraries, frameworks and production-ready data science assets.
• Apply experimentation techniques including A/B testing, segmentation and customer analytics.
• Collaborate with engineers, analysts and product teams in an agile delivery environment.
• Support the development and deployment of AI-powered products and intelligent automation capabilities.

Qualification

To be considered for this role, you must meet the below requirements:

Qualifications

• MSc or PhD in Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Operations Research, Computer Science, Economics or a related quantitative discipline.

Experience

• 2-4+ years of experience delivering advanced analytics, machine learning or AI solutions in a commercial environment.

Knowledge & Skills

• Strong hands-on experience across the modern Data Science ecosystem.
• Experience developing and deploying Machine Learning, GenAI, LLM and Agentic AI solutions.
• Experience with AI Engineering practices including model deployment, monitoring, evaluation, prompt and context engineering and scalable AI application development.
• Proficiency in Python, SQL and modern analytical toolsets.
• Experience with Sparkor distributed data processing technologies.
• Experience with Git, Docker, CI/CD and MLOps workflows.
• Experience building reusable libraries, APIs or production-grade data science solutions.
• Strong problem-solving mindset with the ability to communicate technical concepts to non-technical audiences.
• Experience delivering solutions in complex, fast-paced environments.

Preferred Experience

• Experience building and deploying AI applications using LLM orchestration frameworks (LangGraph, LangChain, Semantic Kernel or equivalent).
• Experience with Retrieval Augmented Generation (RAG), vector databases, AI agents and multi-agent systems.
• Experience evaluating, monitoring and governing production AI systems.
• Understanding of cloud-native AI platforms and modern AI engineering best practices.

Salary & benefits

Join us in Dubai and enjoy an attractive tax-free salary, industry-leading travel benefits, and access to one of the most exciting AI and data environments in the region. Alongside discounted flights and hotel stays worldwide, you'll have the opportunity to work on high-impact projects at global scale while advancing your career with Emirates Group.

Requirements