Data Science Manager - AI Economics Unit

White Shield, Inc.; Dubai; On-site; AED 240,000 - 420,000; Full time

Job summary

Whiteshield seeks a Data Science Manager in Dubai to lead analytical projects integrating AI, machine learning, geospatial analysis, and economic modelling to guide policy and business decisions. You will manage end-to-end data workflows and mentor a multidisciplinary team to deliver toolsets that drive impact.

Lead the design of data pipelines and dashboards, applying AI/ML and geospatial techniques to generate actionable insights from diverse datasets.

Qualifications

• 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.

Responsibilities

• Lead data-driven projects across public policy and economic domains.
• Design, automate, and optimize data pipelines and analytical workflows.
• Apply AI, ML, and geospatial techniques to extract insights from satellite imagery, trade, and macroeconomic data.
• Develop and maintain interactive dashboards, ranking systems, and predictive models.
• Translate technical results into clear, actionable policy recommendations.
• Mentor junior data scientists and oversee code quality, documentation, and best practices.

Skills

Python

SQL

APIs

Machine learning

ETL processes

Data visualization

English communication

Education

Masters in Computer Science

Masters in Data Science

Tools

Power BI

Tableau

AWS

GCP

Azure

TensorFlow

PyTorch

Job 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 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

• Lead data-driven projects across public policy and economic domains.
• Design, automate, and optimize data pipelines and analytical workflows.
• Apply AI, ML, and geospatial techniques to extract insights from satellite imagery, trade, and macroeconomic data.
• Develop and maintain interactive dashboards, ranking systems, and predictive models.
• Translate technical results into clear, actionable policy recommendations.
• Mentor junior data scientists and oversee code quality, documentation, and best practices.

• 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, orrelatedfield

• 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.