WBG Pioneer - AI Data Scientist Intern

The World Bank Group's Internship Program offers undergraduate and postgraduate students a high impact learning experience in global development. Interns will gain hands-on exposure to environmental and social risk management, AI/ML model development, and data engineering within the E&S team supporting the World Bank Group's accountability functions.

Responsibilities

• Support the design, development, and testing of AI/ML models to support E&S case triage, risk classification, or analytics use cases.
• Assist in data preparation, feature engineering, and model evaluation using structured and unstructured data from case management systems.
• Contribute to proof-of-concept work exploring generative AI and automation opportunities within E&S workflows.
• Collaborate with data engineers and product owners to translate business problems into data science solutions.
• Document methodologies, model performance, and findings for technical and non-technical audiences.

Requirements

• Pursuing or recently completed a graduate degree (preferred) in Data Science, Computer Science, Statistics, Machine Learning, or a related quantitative field; strong undergraduate candidates with relevant project experience will also be considered.
• Candidates must have 1–6 years of relevant professional experience.
• Familiarity with Agile/Scrum concepts and practices is a plus.
• Proficiency in Python and common ML/data science libraries (e.g., pandas, scikit-learn, PyTorch/TensorFlow).
• Understanding of machine learning fundamentals, model evaluation, and basic NLP or generative AI concepts.
• Strong problem-solving skills and ability to communicate technical findings clearly.
• Prior exposure to real-world datasets or applied projects is a plus.
• Demonstrated interest in development work and the World Bank Group’s mission.
• Strong analytical, research, and problem-solving skills.
• Effective written and verbal communication skills.
• Proficiency in English; additional languages may be required depending on the role.

Skills

• Python Programming
• Machine Learning
• Data Science
• Pandas
• Scikit Learn
• PyTorch
• TensorFlow
• Agile Methodologies
• Scrum Practices
• Model evaluation
• Natural Language Processing
• Generative AI
• Data Analysis
• Research Skills
• Technical Communication
• Environmental and Social Risk Management
• AI Model Development
• Data Engineering

Languages

English