Data Scientist

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)