WBG Pioneer - Data Scientist Intern

World Bank Group•Washington, DC

1d•Onsite

About The Position

WBG Pioneers, the World Bank Group’s Internship Program, offers undergraduate and postgraduate students a high impact learning experience at the heart of global development. Participants gain hands on experience in a diverse and dynamic environment, contribute fresh perspectives and innovative ideas, and connect with international professionals working to end poverty on a livable planet. 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.

Requirements

Currently enrolled in, or in the final year of, an undergraduate or postgraduate (master's/PhD) program in data science, statistics, computer science, analytics, engineering, or a related field.
0–2 years of relevant professional experience; academic, research, or project experience in data analytics/data science is required.
Hands-on experience with Python and SQL for data manipulation and analysis.
A fast learner who actively follows industry trends in enterprise data intelligence and can quickly apply new techniques in a hands-on manner.
Strong analytical, research, and problem-solving skills, with a self-motivated and detail-oriented approach.
Effective written and verbal communication skills, including the ability to document and present technical work clearly.
Ability to work effectively in a diverse, team-based environment and manage multiple priorities within tight deadlines.
Demonstrated interest in development work and the World Bank Group's mission.

Nice To Haves

Experience with Databricks, Power BI, and AI/machine learning is a strong asset.

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.