Head of Data Strategy leading and developing data initiatives for Zurich's GI Business. Focusing on data strategy, governance, and analytics while fostering collaboration across teams.
About the role
- Data Science Manager leading analytical projects integrating AI, machine learning, and economic modeling. Collaborating with a multidisciplinary team to drive evidence-based decision-making in public policy.
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.
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