
Whiteshield
Data Science Manager - AI Economics Unit
- Permanent
- Dubai, United Arab Emirates
- Experience 5 - 10 yrs
Job expiry date: 11/12/2025
Job overview
Date posted
27/10/2025
Location
Dubai, United Arab Emirates
Salary
AED 20,000 - 30,000 per month
Compensation
Comprehensive package
Experience
5 - 10 yrs
Seniority
Manager
Qualification
Masters degree
Expiration date
11/12/2025
Job description
Whiteshieldâs AI Economics unit, based in Dubai, combines artificial intelligence with economic expertise to solve real policy challenges by transforming complex data into actionable insights that shape how governments and businesses design policies, manage resources, and plan for growth. As a Data Science Manager, the role leads end-to-end analytical projects across public policy and economic domains, integrating AI, machine learning, geospatial analysis, and economic modelling to drive evidence-based decision-making. The manager designs, automates, and optimizes data pipelines and analytical workflows; applies AI, ML, and geospatial techniques to extract insights from satellite imagery, trade, and macroeconomic data; and develops and maintains interactive dashboards, ranking systems, and predictive models using tools such as Python, SQL, APIs, ETL, Power BI, and Tableau. The position translates technical results into clear, actionable policy recommendations for stakeholders, mentors junior data scientists, and oversees code quality, documentation, and best practices. Nice-to-have capabilities include working with geospatial data and tooling (GIS, satellite imagery, GeoPandas, QGIS), economic or policy-related datasets, consulting or public sector project experience, knowledge of cloud platforms (AWS, Google Cloud Platform, or Azure), familiarity with TensorFlow or PyTorch, and exposure to AI, LLMs, predictive modelling, geospatial analytics, and simulation platforms, all within a hybrid, full-time context in the UAE.
Required skills
Key responsibilities
- Lead data-driven projects across public policy and economic domains from ideation to delivery.
- Design, automate, and optimize data pipelines and analytical workflows to support scalable analysis and deployment.
- 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 for stakeholders.
- Translate technical results into clear, actionable policy recommendations for decision-makers.
- Mentor junior data scientists and oversee code quality, documentation, and best practices.
Experience & skills
- Masterâs degree in Computer Science or Data Science (Masterâs in Data Science, Economics, or related field also listed).
- Proven experience leading data projects or small teams.
- 5+ yearsâ experience with Python.
- 5+ yearsâ experience with SQL.
- 5+ yearsâ experience with APIs.
- Experience with machine learning or predictive modelling.
- Experience building data pipelines or ETL processes.
- Experience with data visualization using Power BI, Tableau, or similar tools.
- Excellent English communication skills.
- Nice-to-haves include experience with geospatial data (e.g., GIS, satellite imagery, GeoPandas, QGIS).
- Nice-to-haves include experience with economic or policy-related datasets.
- Nice-to-haves include experience working in consulting or public sector projects.
- Nice-to-haves include knowledge of cloud platforms (AWS, GCP, or Azure).
- Nice-to-haves include familiarity with TensorFlow or PyTorch.