Data Scientist

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)