WBG Pioneer

The Integrity Vice Presidency (INT) investigates and helps prevent fraud and corruption in World Bank Group–financed projects. Within INT, the Data Lab is a multidisciplinary team—spanning data, AI, analytics, and cloud engineering—that builds and operates production-grade, responsible data and AI solutions to enable and streamline INT's core business processes. This 150-day internship offers a hands-on opportunity to work at the frontier of enterprise data intelligence. Under the direct supervision and mentorship of the Data Lab Team Lead, the Data Scientist Intern will learn to design and build data solutions and data-driven agents that support INT's core functions. The intern will also be guided by the Data Officer and Data Engineer to support data reporting tasks. The role is well suited to a fast learner who stays aligned with industry trends in enterprise data intelligence and is eager to apply modern analytics and AI techniques to real-world integrity use cases within a secure, governed cloud environment. Duties and Responsibilities • Learn and apply the Data Lab's data practices to help design and build data solutions and data-driven agents that streamline INT business processes. • Support periodic and ad-hoc reporting to inform business decision-making and strategic planning. • Analyze large datasets to extract insights and identify trends, patterns, and anomalies. • Build and maintain interactive dashboards and visualizations (e.g., Power BI, Tableau) to present data findings. • Assist in developing and optimizing data pipelines and queries (e.g., on Databricks and SQL) for performance and reliability. • Conduct data quality assurance (QA) to ensure the accuracy, completeness, and reliability of data. • Collaborate with stakeholders and Data Lab members to gather and refine data requirements for projects and reports. • Explore and evaluate emerging enterprise data intelligence tools and trends, sharing findings and recommendations with the team. • Maintain clear, up-to-date documentation of data sources, transformations, and reporting processes. • Participate in team meetings, provide regular progress updates, and present work to the Data Lab Team Lead.