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
• 
  

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

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
• 
  

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