The Prevention, Risk and Knowledge Management (PRKM) Unit in INT seeks a highly motivated, full-stack Data Scientist with expertise in cloud native application development, cloud engineering, artificial intelligence (AI) and machine learning (ML), pattern detection, and generative AI to join our dynamic team. As a member of our technical unit based in Washington, DC, you will play a key role in assessing and developing data and AI tools and best practices for integrating generative AI solutions to support INT’s mandate. This is a unique opportunity to contribute your creative skills and domain knowledge to shape the future of anti-corruption efforts in development.
Responsibilities:
Build cloud-native data and AI integrated tools in collaboration with internal stakeholders such as INT Data Lab team members and The World Bank’s ITS.
Evaluate and create tools and methodologies for INT's preventive and proactive integrity initiatives, focusing on fraud/corruption risk management and supporting investigations through advanced data analytics.
Build Machine Learning and pattern detection algorithms to support the identification and management of integrity risks in Bank-financed Procurement and enabling the ingestion of external data sources such as social media, adverse media, satellite imagery, and other data feeds.
Explore and apply generative AI and prompt engineering for structured data extraction from unstructured data. Ensure data quality and ethical considerations in all AI and ML projects; strengthen responsible AI practices in INT and develop programs to promote ethical AI use.
Support the PRKM manager in AI pilots related to the development of customized AI agents and other AI solutions.
Coordinate with ITS and provision cloud resources needed and manage security accreditation requirements from the World Bank’s Office of Information Security (OIS) related to INT’s cloud infrastructure.
Manage cloud costing and resource utilization.
Coordinate the technical work of INT’s Data Team, including regular code reviews, to ensure code quality, scalability and reproducibility of Data and AI tools.
Manage INT’s DevSecOps projects and ensure CI-CD strategy implementation to build and deploy tools.
Foster partnerships with internal and external stakeholders and experts to business requirement collection, drive innovation and knowledge sharing.
Support the PRKM manager in preparing for expert international panels on AI and responsible use of AI to present regularly to various stakeholder groups within and outside INT.
Requirements:
A master’s degree, with a minimum of 5 years’ experience, or equivalent combination of education and experience in a field closely related to international development (e.g., public policy, governance, political science, or public administration) and/or in a field closely related to statistics, data science, computer sciences, economics, mathematics, or physics.
At least 5 years of relevant work experience.
At least 4 years of experience in cloud-native application development.
Advanced level experience in cloud administration (preferably Azure).
Strong knowledge on performing data analytics using Python, SQL (preferably using Databricks).
Advanced level knowledge on Full Stack Application development (preferably React, Streamlit for front-end and FastAPI for back-end API).
Hands-on experience in ordinating the design and implementation of complex cloud security protocols for enterprise-level certification.
Experience with building graph databases and pattern detection algorithms.
Experience with using GitHub for ensuring code quality and conducting reviews.
