Skip to content
Skip to content
AI Engineer Jobs
World Bank Group

WBG Pioneer - AI Data Engineer Intern

World Bank Group

Location
Onsite (Washington, District of Columbia · Washington, District of Columbia · Washington, District of Columbia)
Employment
Intern
Level
Mid Level
Posted 1 week ago

About the Role

The World Bank Group is seeking an AI Data Engineer Intern to modernize procurement platforms. This role offers hands-on experience in building and maintaining data pipelines, performing data validation, and assisting with machine learning applications within a global development context.

Skills

Python SQL Git ETL/ELT APIs Cloud Platforms Machine Learning Data Visualization Data Validation Feature Engineering Vector Databases Retrieval-Augmented Generation

Full job details

 

WBG Pioneer - AI Data Engineer Intern

Job #: req37694 Organization: World Bank Grade: T3 Location: Washington, DC,United States; Sofia, Bulgaria; Chennai, India Hiring Manager:Karina Temirbulatova
Required Language(s): English Preferred Language(s): Closing Date: 8/12/2026 (11:59pm UTC)

Description

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.

Every World Bank-financed project depends on systems that track how money is spent, how risk is managed, and how communities are protected. ITSFD builds those systems—this internship is a chance to work on them directly.

Background/Organizational Context

The World Bank Group (WBG) finances development projects across the globe through three distinct institutions, the International Bank for Reconstruction and Development and the International Development Association (IBRD/IDA), the International Finance Corporation (IFC), and the Multilateral Investment Guarantee Agency (MIGA). The Information and Technology Solutions (ITS) Vice Presidency of the World Bank Group delivers a wide portfolio of technology products and services that enable the WBG's development mission. Within ITS, the Fiduciary Operations unit (ITSFD) is responsible for digital solutions that support Procurement, Financial Management, and Environmental and Social Safeguards across World Bank operations. 

About the Team: Procurement

The Procurement team sits within ITS Fiduciary Operations (ITSFD) and is responsible for the digital systems that support procurement activities across World Bank-financed projects. Its flagship platform is STEP (Systematic Tracking of Exchanges in Procurement), an end-to-end online system used for procurement planning, tracking, and document management across the full procurement lifecycle; from planning through contract management. STEP is used by Task Team Leaders, Procurement Specialists, and borrowers alike and supports transparency and accountability through machine-readable reporting and open contracting data. 

The intern will gain hands-on experience in how a global institution plans and  validates data migration for a complex platform modernization. The role offers exposure to agile delivery, data governance, QA practices, UAT preparation, stakeholder coordination, and the practical realities of moving from legacy systems to a modern digital platform.

Duties and Responsibilities
  • Collect data from databases, APIs, cloud storage, files, and other sources.
  • Clean and transform raw data by handling missing values, duplicates, incorrect formats, and outliers, and build and maintain ETL/ELT pipelines using Python, SQL, and data-engineering tools.
  • Perform data validation and quality checks to ensure accuracy and consistency.
  • Work with large datasets using platforms such as Snowflake, Databricks, Spark, or cloud services.
  • Create and maintain data tables, schemas, feature datasets, and data documentation.
  • Assist with feature engineering for machine-learning models.
  • Support vector databases, embeddings, and Retrieval-Augmented Generation pipelines for generative AI applications.
  • Collaborate with data engineers, data scientists, ML engineers, and software developers.
  • Participate in code reviews, team meetings, testing, and technical documentation.

Selection Criteria

  • Candidates must be currently enrolled in, or in the final year of, an undergraduate or postgraduate (master’s/PhD) program IT Computer Science, Software Engineering, Information Technology, and Data Science/Analytics.
  • Candidates must have 1–6 years of relevant professional experience.
  • Demonstrated interest in development work and the World Bank Group’s mission.
  • Strong analytical, research, and problem-solving skills.
  • Proficiency in English; additional languages may be required depending on the role.
  • Technical Skills Needed: Python, SQL, Git, databases, ETL/ELT concepts, APIs, cloud platforms, basic machine learning, and data visualization.
  • Professional Skills Needed: Problem-solving, communication, teamwork, attention to detail, willingness to learn, and the ability to clearly document work.
Note: Please limit your applications to a maximum of three positions. Applications exceeding this limit will not be considered.

WBG Culture Attributes:
1. Sense of urgency: Anticipate and quickly respond to the needs of internal and external stakeholders.
2. Thoughtful risk-taking: Challenge the status quo and push boundaries to achieve greater impact.
3. Empowerment and accountability: Empower yourself and others to act and hold each other accountable for results.

The World Bank Group values diversity and encourages all qualified candidates who are nationals of World Bank Group member countries to apply, regardless of gender, gender identity, religion, race, ethnicity, sexual orientation, or disability.  Sub-Saharan African nationals, Caribbean nationals, and female candidates are strongly encouraged to apply.