Data Scientist

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, helping to make Emirates Group a more data-driven organization.

The purpose of the Data Scientist role 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.

• Deliver analytics projects, applying appropriate statistical and machine learning techniques to produce key insights and actionable takeaways, and presenting findings and recommendations to 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 challenging problems through active involvement 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: 2-4+ years of experience in the Analytics ecosystem.

• 2-4+ years of hands‑on experience in the Analytics ecosystem.
• Hands‑on experience in the Data Science ecosystem.
• Hands‑on experience in Gen AI, LLMs and Agentic AI.
• 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 Dev Ops 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.