Summary
Whiteshield combines artificial intelligence and economic expertise to address policy challenges. The Data Science Manager will lead analytical projects and manage data workflows, applying machine learning, geospatial analysis and economic modelling. The role includes building pipelines, dashboards and predictive models, translating findings into policy recommendations, and mentoring data scientists. Candidates should have a relevant master's degree, experience leading data projects, and at least 5 years of experience with Python, SQL and APIs.
The posting
As published on whiteshield.ai. Pulled from the employer's site and shown as they wrote it.
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.
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
Benefits
- 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.