Data Science Manager - AI Economics Unit (UAE-based)

Whiteshield; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A data-driven consultancy in Dubai seeks a Data Science Manager to lead analytical projects integrating AI and economic modelling. The role includes managing data workflows, developing tools, and mentoring junior staff. Applicants should have a Master's degree in Computer Science or Data Science, along with significant experience in Python, SQL, and data visualization tools. This position provides opportunities to influence national policy and innovate with cutting-edge technologies.

Benefits

Real influence and access to shape national policy

Room to innovate and pilot new technologies

Structured growth through hands-on mentoring

Qualifications

• 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.
• 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.
• Develop and maintain interactive dashboards and predictive models.
• Mentor junior data scientists and oversee code quality.

Skills

Python

SQL

APIs

Machine Learning

Data Visualization

Geospatial Data

Education

Masters degree in Computer Science or Data Science

Tools

Power BI

Tableau

GIS

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, or related field

• 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.