Data Science Manager - AI Economics Unit

Role Overview

Data Science Manager at Whiteshield, AI Economics Unit. Location not specified in source.

Company Overview

Whiteshield combines artificial intelligence with economic expertise to solve real policy challenges. The AI Economics unit transforms complex data into actionable insights that shape how governments and businesses design policies, manage resources, and plan for growth.

Role Purpose

Lead analytical projects that integrate AI, machine learning, geospatial analysis, and economic modelling to drive evidence-based decision-making. Manage end-to-end data workflows from ideation to delivery, working with a multidisciplinary team of data scientists, economists, and policy experts to build tools with real impact.

Key Responsibilities

Project Leadership & Strategy

• Lead data-driven projects across public policy and economic domains.

Data Engineering & Analytics

• 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.
• Build data pipelines and ETL processes.

Stakeholder Communication

• Translate technical results into clear, actionable policy recommendations.

Team & Knowledge Management

• Mentor junior data scientists and oversee code quality, documentation, and best practices.

Qualifications & Experience

• Master's degree in Computer Science or Data Science.
• 5+ years of experience with Python.
• 5+ years of experience with SQL.
• 5+ years of experience with APIs.
• Proven experience leading data projects or small teams.
• Experience with machine learning or predictive modelling.
• Experience with data visualization tools such as Power BI or Tableau.

Skills & Competencies

• Excellent English communication skills.
• Geospatial data analysis (GIS, satellite imagery, GeoPandas, QGIS).
• Economic or policy-related datasets.
• Cloud platforms (AWS, GCP, or Azure).
• TensorFlow or PyTorch.

Additional Information

• 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: Encouragement to pilot new methods and technologies.
• Cutting-edge tools: Access to AI, LLMs, predictive modelling, geospatial analytics, and simulation platforms.
• Structured growth: Learning from senior experts through hands-on mentoring and project-based skill transfer.