Innovation Analytics Scientist (ML/NLP)

World Bank Group; Washington; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Retirement plan

Medical insurance

Life and disability insurance

Paid parental leave

Job summary

World Bank Group in Washington, DC is seeking a Data Scientist to advance AI- and NLP-enabled analytics across portfolios, leveraging ontologies, embeddings and LLM-assisted analysis to extract insights from large data collections.

You will build end-to-end data pipelines, design rigorous validation, and deliver visualization products for executives while translating complex questions into actionable analytics in a collaborative, cross-functional environment.

Qualifications

• Master’s degree in data science, computer science, statistics, economics, applied mathematics, or a related quantitative field, with a minimum of five years of relevant professional experience.
• Strong applied experience in machine learning and NLP, including text classification, semantic embeddings and search, information extraction, or related analysis of large unstructured text collections.
• Demonstrated experience using large language models (LLMs) programmatically for classification, extraction, structured analysis, or similar analytical tasks, including prompt design, systematic validation, and understanding of the limitations of generative AI.

Responsibilities

• Operationalize and continuously improve the Innovation Analytics methodology - an AI- and ML-enabled approach to identify, classify, and analyze innovation across WBG portfolios.
• Build reproducible data and analytical pipelines for document ingestion, text extraction, sub-component-level innovation detection, lifecycle and maturity classification, replication and diffusion analysis, and portfolio-level aggregation.
• Design and implement rigorous validation and quality-assurance approaches, including expert validation, sampling, error analysis, confidence assessment, comparison across analytical methods, and monitoring of false positives and false negatives.
• Apply the methodology to country, sector, thematic, Trust Fund, IDA, and other WBG use cases, translating management questions into appropriate datasets, analytical approaches, and decision-relevant outputs.
• Develop clear analytical products and visualizations that identify portfolio patterns, replication and scaling opportunities, capability gaps, and other strategic insights for operational teams and senior management.

Skills

Python

SQL

NLP

Machine learning

Education

Master’s degree

Tools

Databricks/Spark

Job description

World Bank Group in Washington, DC is seeking a Data Scientist to advance AI- and NLP-enabled analytics across portfolios, leveraging ontologies, embeddings and LLM-assisted analysis to extract insights from large data collections.

You will build end-to-end data pipelines, design rigorous validation, and deliver visualization products for executives while translating complex questions into actionable analytics in a collaborative, cross-functional environment.