WBG Pioneer - AI Data Scientist Intern

Overview

This internship offers undergraduate and postgraduate students a high-impact learning experience in global development, contributing to digital solutions that support procurement, financial management, and environmental and social safeguards.

Key Responsibilities

• Support the design, development, and testing of AI/ML models for E&S case triage, risk classification, or analytics.
• Assist in data preparation, feature engineering, and model evaluation using structured and unstructured data.
• Contribute to proof-of-concept work exploring generative AI and automation opportunities.
• Collaborate to translate business problems into data science solutions.
• Document methodologies, model performance, and findings.

Required Experience

1–6 years of relevant professional experience. Familiarity with Agile/Scrum concepts and practices is a plus. Prior exposure to real-world datasets or applied projects is a plus.

Qualifications

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. 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.

Other Details