Data Scientist
Arab Monetary Fund Abu Dhabi
Job Description
Job Purpose:
The Data Scientist supports the design and implementation of advanced data analytics solutions to enhance AMF's research, policy analysis, and decision-making capabilities. The role focuses on applying machine learning, AI, and statistical modelling to unlock insights, strengthen data integration, and advance innovation within the organization.
Roles and Responsibilities
Key Accountabilities- Design and implement statistical models, machine learning algorithms, and AI tools for large-scale structured and unstructured data
- Conduct predictive and prescriptive analytics to support economic and financial policy initiatives
- Continuously enhance models for performance, accuracy, and scalability
- Clean, transform, and manage diverse data sources using automated ETL pipelines
- Collaborate with IT to optimize data infrastructure for secure and efficient access
- Ensure data quality and alignment with organizational data architecture standards
- Partner with research teams on data-driven approaches for frontier topics (e.g., digital economy, AI, climate, financial innovation)
- Apply advanced techniques such as deep learning and NLP to enhance research
- Monitor developments in data science and introduce relevant tools and techniques
- Develop dashboards and visualizations to communicate insights to policymakers
- Create data storytelling outputs for publications, policy discussions, and training
- Ensure consistent and accessible data presentation across platforms and reports
- Comply with data protection regulations, internal policies, and ethical AI standards
- Support implementation of data governance frameworks and quality standards
- Participate in audits and compliance reviews related to data use and access
Job Qualifications and Requirements:
Knowledge and Experience:
- Minimum 5 years of experience in:
- Data science
- Machine learning
- Advanced analytics
- Preferably within economic, financial, or public policy sectors
- Proven ability to develop predictive models and deliver actionable insights
Education:
- Bachelor's degree in:
- Data science
- Computer science
- Statistics
- Economics Or a related field
Certifications (Preferred):
- Recognized certifications such as:
- Google Data Analytics
- IBM Data Science
- SAS
- CAP (Certified Analytics Professional)
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