Data Science Manager - AI Economics Unit

🏢 Whiteshield Partners
📍 United Arab EmiratesFull-timeOn-site
📅 Posted: 4d ago🔄 Updated: 4d ago
CV%
✨ AI Summary
Whiteshield is seeking a Data Science Manager for its AI Economics Unit to lead analytical projects integrating AI, machine learning, geospatial analysis, and economic modelling for policy challenges. The role involves managing end-to-end data workflows, working with a multidisciplinary team, and building impactful tools. Key responsibilities include leading data-driven projects, designing and optimizing data pipelines, applying AI/ML techniques to extract insights from various data sources, developing interactive dashboards, and translating technical results into policy recommendations. The manager will also mentor junior data scientists and oversee code quality.
Required Skills
Information Technology
Data PipelinesCloud ComputingPandas
Engineering, Construction & Trades
Fit-Out Processes
Science & Research
GIS
🎁 Benefits & Perks
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.
Requirements
Requires a Master's degree in Computer Science or Data Science, with 5+ years of experience in Python, SQL, and APIs. Proven experience leading data projects or small teams, applying machine learning or predictive modeling, and building data pipelines or ETL processes. Proficiency in data visualization (Power BI, Tableau, or similar) and excellent English communication skills are essential.
Description
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 OverviewAs 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 ResponsibilitiesLead data-driven projects across public policy and economic domainsDesign, automate, and optimize data pipelines and analytical workflowsApply AI, ML, and geospatial techniques to extract insights from satellite imagery, trade, and macroeconomic dataDevelop and maintain interactive dashboards, ranking systems, and predictive modelsTranslate technical results into clear, actionable policy recommendationsMentor junior data scientists and oversee code quality, documentation, and best practicesRequirementsMasters degree in Computer Science or Data ScienceProven experience leading data projects or small teams5+ years experience with Python5+ years experience with SQL5+ years experience with APIsExperience with machine learning or predictive modellingExperience building data pipelines or ETL processesExperience with data visualization (Power BI, Tableau, or similar)Excellent English communication skillsNice-to-haves:Experience with geospatial data (e.g., GIS, satellite imagery, GeoPandas, QGIS)Experience with economic or policy-related datasetsExperience working in consulting or public sector projectsKnowledge of cloud platforms (AWS, GCP, or Azure)Familiarity with TensorFlow or PyTorchMaster's degree in Data Science, Economics, or related fieldBenefitsReal 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.
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00