Data Science Manager - AI Economics Unit
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Before you apply
LocationDubai, Dubai, United Arab Emirates
Typefull-time
SeniorityLead
Experience5+ yrs
Company size51–200 people
PostedAug 31, 2026 · 2mo ago
Verified live16h ago
At a glanceSummarised by Seekless from the posting.
Masters degree in Computer Science or Data Science
Proven experience leading data projects or small teams
5+ years experience with Python
5+ years experience with SQL
5+ years experience with APIs
Experience with machine learning or predictive modelling
Experience building data pipelines or ETL processes
Experience with data visualization (Power BI, Tableau, or similar)
Excellent English communication skills
Experience with geospatial data (e.g., GIS, satellite imagery, GeoPandas, QGIS)
Experience with economic or policy-related datasets
Experience working in consulting or public sector projects
Knowledge of cloud platforms (AWS, GCP, or Azure)
Familiarity with TensorFlow or PyTorch
Master’s degree in Data Science, Economics, or related field
Skills
AI
machine learning
geospatial analysis
economic modelling
data pipelines
Python
SQL
APIs
predictive modelling
ETL
data visualization
Power BI
Tableau
geospatial data
GIS
satellite imagery
GeoPandas
QGIS
cloud platforms
AWS
GCP
Azure
TensorFlow
PyTorch
LLMs
Benefits
Real influence and access
Room to innovate
Cutting edge tools
Structured growth
About the company
Whiteshield combines artificial intelligence with economic expertise to solve real policy challenges. Our AI Economics unit transforms complex data into actionable insights that shape how governments and businesses design policies, manage resources, and plan for growth.
Role Overview
As a Data Science Manager, you will lead analytical projects that integrate AI, machine learning, geospatial analysis, and economic modelling to drive evidence-based decision-making. You’ll manage end-to-end data workflows — from ideation to delivery — and work with a multidisciplinary team of data scientists, economists, and policy experts to build tools that have real impact.
Key Responsibilities
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Lead data-driven projects across public policy and economic domains.
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Design, automate, and optimize data pipelines and analytical workflows.
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Apply AI, ML, and geospatial techniques to extract insights from satellite imagery, trade, and macroeconomic data.
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Develop and maintain interactive dashboards, ranking systems, and predictive models.
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Translate technical results into clear, actionable policy recommendations.
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Mentor junior data scientists and oversee code quality, documentation, and best practices.
Requirements
•
Masters degree in Computer Science or Data Science
•
Proven experience leading data projects or small teams
•
5+ years experience with Python
•
5+ years experience with SQL
•
5+ years experience with APIs
•
Experience with machine learning or predictive modelling
•
Experience building data pipelines or ETL processes
•
Experience with data visualization (Power BI, Tableau, or similar)
•
Excellent English communication skills
Nice-to-haves:
•
Experience with geospatial data (e.g., GIS, satellite imagery, GeoPandas, QGIS)
•
Experience with economic or policy-related datasets
•
Experience working in consulting or public sector projects
•
Knowledge of cloud platforms (AWS, GCP, or Azure)
•
Familiarity with TensorFlow or PyTorch
•
Master’s degree in Data Science, Economics, or related field
Benefits
•
Real influence and access – Shape national policy, competitiveness strategies, and sustainable growth plans while working directly with senior government officials, global institutions, and major corporations.
•
Room to innovate – If you see a better way, try it. We encourage new methods and actively pilot new technologies.
•
Cutting-edge tools – Work with AI, LLMs, predictive modelling, geospatial analytics, and simulation platforms.
•
Structured growth – Learn from senior experts through hands-on mentoring and project-based skill transfer.