Innovation Analytics Data Scientist

The World Bank Group; Washington (District of Columbia); On-site; USD 120,000 - 180,000; Full time

Job summary

World Bank Group in Washington, DC is seeking a Data Scientist to lead advanced data analytics and ML/NLP initiatives. You will design analytics frameworks, build data pipelines, and translate complex questions into actionable insights for senior leadership.

The role emphasizes reproducible workflows, strong Python/SQL skills, and experience with large language models and NLP. Collaborative, cross-portfolio work is expected.

Qualifications

• Master’s degree in data science, computer science, statistics, economics, applied mathematics, or a related quantitative field.
• Strong applied experience in machine learning and NLP, including text classification and embeddings.
• Experience using large language models programmatically for classification and extraction.
• Advanced proficiency in Python and SQL, with data management and visualization skills.
• Experience with reproducible analytical workflows and version control.

Responsibilities

• Operationalize and improve the Innovation Analytics methodology using AI/ML for generating insights across WBG portfolios.
• Build reproducible data pipelines for document ingestion, text extraction, and portfolio-level analysis.
• Design robust validation, sampling, and error analysis to ensure quality of outputs.
• Apply methodologies to country, sector, and thematic use cases, translating questions into datasets and analyses.
• Develop clear analytical products and visualizations for senior management.
• Document methods, data transformations, and limitations to standardize the service.

Skills

Machine Learning

NLP

Python

SQL

Data Visualization

Education

Master's degree in data science or related field

Tools

Databricks/Spark

APIs/Retrieval systems

Job description

World Bank Group in Washington, DC is seeking a Data Scientist to lead advanced data analytics and ML/NLP initiatives. You will design analytics frameworks, build data pipelines, and translate complex questions into actionable insights for senior leadership.

The role emphasizes reproducible workflows, strong Python/SQL skills, and experience with large language models and NLP. Collaborative, cross-portfolio work is expected.