Data Scientist/Analyst - Data Modelling & BI | Emirati Talent

Department Icon Data Science Analytics & Machine Learning
Posted: 2 days ago
0-1 years
Dubai, United Arab Emirates
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 22 Dec 2026

Posted: 2 days ago
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Job Description

Role Summary

Provide data engineering, analytics, and dashboard development support to Majid Al Futtaim Global Solutions (MAF GS) by designing and optimizing data pipelines, creating insightful Tableau and Power BI dashboards, and delivering analytics and machine learning solutions that enhance data-driven decision-making and accelerate AI innovation initiatives.

ROLE PROFILE

  • Design, develop, and optimize scalable data pipelines using Python and SQL/MySQL to ensure high-quality datasets are available for analytics and reporting.
  • Build, enhance, and maintain interactive Tableau and Power BI dashboards, delivering actionable insights through clearly defined and governed KPIs.
  • Conduct exploratory data analysis and statistical assessments to identify trends, generate insights, and support operational and strategic decision-making.
  • Develop and evaluate predictive analytics and machine learning models, leveraging tools such as scikit-learn to address business challenges and improve outcomes.
  • Create and deploy lightweight analytics applications and proof-of-concept solutions using Streamlit, improving stakeholder access to data and insights.
  • Support AI, NLP, and Generative AI initiatives by contributing to experimentation, prototyping, and validation of innovative use cases.
  • Maintain comprehensive documentation for data models, dashboards, and code repositories while adhering to data quality, governance, and version control standards.
  • Deliver reporting-ready datasets, stakeholder-adopted dashboards, reusable analytical assets, and at least one analytics, ML, or AI prototype with documented outcomes and recommendations for future implementation.

Requirements

  • Proficiency in Python (Pandas, NumPy) and SQL/MySQL to manage, transform, analyze, and model data for business insights and reporting.
  • Strong expertise in data visualization and business intelligence tools, including Tableau, Power BI, and advanced Excel, with the ability to define and monitor meaningful KPIs.
  • Knowledge of exploratory data analysis, statistical techniques, and machine learning concepts, including feature engineering, model development, evaluation, and performance optimization.
  • Experience in developing and deploying analytics solutions and prototypes using Streamlit, with exposure to modern AI platforms and tools such as Hugging Face and NLP frameworks.
  • Familiarity with collaborative development environments and version control tools, including Git/GitHub, Jupyter/Colab, VS Code, and PyCharm, ensuring efficient project delivery and knowledge sharing.
  • Demonstrates strong analytical thinking, problem-solving ability, stakeholder communication, attention to detail, and a continuous learning mindset, supported by a relevant quantitative degree and practical experience through internships, academic project

What We Offer

  • At Majid Al Futtaim, we're on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We're proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!
  • Work in a friendly environment, where everyone shares positive vibes and excited about our future.
  • Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.

Skills

Data VisualizationPythonData AnalysisImplementationMachine LearningPredictive AnalyticsMysqlVisualizationAnalyticsAiMlSqlGenerative AiHugging FaceScikit-learnNumpyPandasNlpFeature EngineeringData ScientistAnalyst

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About Company

Majid Al Futtaim is a leading shopping mall, communities, retail, and leisure pioneer across the Middle East, Africa, and Asia. They operate a diverse portfolio of businesses including shopping malls, grocery stores, department stores, and entertainment venues.

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