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Job Purpose
At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
The purpose of the Data Scientist is to undertake Data Science (DS) projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio with a focus on timely delivery and ownership of results.
In This Role, You Will
To be considered for this role, you must meet the below requirements:
Salary & benefits
Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers
At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
The purpose of the Data Scientist is to undertake Data Science (DS) projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio with a focus on timely delivery and ownership of results.
In This Role, You Will
- Deliver analytics projects, applying appropriate statistical and machine learning techniques to produce key insights and actionable takeaways, and presenting findings and recommendations to the stakeholders.
- Develop dimensions of the DS project such as data analysis, visualization and development of tools, models and documentation. Analyse business metrics and KPIs to understand trends, identify issues, and opportunities for optimisation.
- Address day-to-day technical issues, ensuring high quality of deliveries are achieved.
- Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.
- Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact.
- Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems through active involvement in the in the development of our analytics tools for A/B testing, segmentation, funnel analysis, and other analytics needs.
- Support sprint/work design and planning projects to bridge the gap between research and analytics by providing data-driven solutions across the required areas.
To be considered for this role, you must meet the below requirements:
- Qualifications: Completed MSc/PhD (12+5 or equivalent) Degree in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
- Experience: 5+ years in Human Resources/HR Information Systems
- 2-4+ years of hands-on experience in the Analytics ecosystem and hands-on experience in the following:
- Hands-on experience in Data Science ecosystem.
- Hands-on experience with big data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.).
- Hands-on experience with SQL, R, Python.
- Hands-on experience with DevOps frameworks (Git, CI/CD, Docker).
- Hands-on experience building libraries and packages to be re-used by others.
- Hands-on experience building DS Solutions for production usage.
- Team player with a problem solving attitude.
- Experience of delivering advanced analytical projects to large, complex organisations in a multi-functional environment.
- Able to challenge and review the quality and value generated from analytical output.
Salary & benefits
Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers
Key Skills
Ranked by relevance
machine learning
data analysis
big data
artificial intelligence
deep learning
data mining
tensorflow
devops
hadoop
keras
spark
cicd
git
sql
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- Posted
- Nov 21, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Dubai
- Company
- Emirates
Industries
Airlines
Aviation
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Data Scientist (Manager), Airport Operations Technology & Corporate IT
2026-05-26
Full-time
Not Applicable
Singapore
Aviation
Engineering
View Job Details
Related
Artificial Intelligence Specialist
2026-05-26
Full-time
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United Arab Emirates
Airlines
Administrative
View Job Details
Related
Mechanical Engineer
2026-05-29
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Not Applicable
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Aviation
Engineering