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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** World Bank - **Location:** Washington, DC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Access, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Automated Storage and Retrieval Systems, Data Transformation, Data Visualization, Database Schema, Information Extraction, Data Intelligence, Interoperability, Python (Programming Language), Machine Learning, Natural Language Processing, Operational Data Store, SQL Databases, Visual Analytics, Large Language Models, Prompt Engineering, Apache Spark, Model Validation, Generative AI, Information Technology, Data Management, Document Classification, Software Version Control, Databricks - **Published:** September 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=464bdb1a27888582 ## About the Role * 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 natural language processing (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. * Advanced proficiency in Python and SQL, with strong skills in data management, statistical analysis, data visualization, version control, and reproducible analytical workflows; experience with Databricks/Spark or similar is desirable. * Strong grounding in quantitative research methods and model evaluation, including sampling and validation, precision/recall trade-offs, error analysis, confidence assessment, and rigorous interpretation of analytical results. * Demonstrated ability to translate complex management and operational questions into tractable analytical approaches. Experience with operationalizing ontologies into analytics is desirable. * Demonstrated ability to synthesize and visualize findings across sectors, countries, datasets, and analytical methods for technical and non-technical audiences. Experience with interactive data visualization tools and libraries is desirable. * Strong initiative, results orientation, and teamwork skills, with the ability to work effectively across multidisciplinary teams and evolving priorities. Experience with user-facing system and analytical product design, interoperability with APIs and data schemas, development finance, MDB operational data, vector databases/RAG and retrieval systems, or LLM agent engineering would be an advantage. As the World Bank Group continues to evolve, we value candidates who: * Demonstrate the ability to collaborate effectively across teams, disciplines, cultures, and institutional boundaries. * Responsibly leverage digital and AI-enabled tools to enhance productivity, learning, and decision-making. * Bring experience working in fragile, conflict-affected, and violent (FCV) contexts and are encouraged to highlight relevant experience in their application materials, where applicable. ## Description The Data Scientist will undertake the following activities: * Operationalize and continuously improve the Innovation Analytics methodology - an AI- and ML-enabled approach to identify, classify, and analyze innovation across WBG portfolios. Combine ontology-based concepts, semantic embeddings, LLM-assisted analysis, natural language processing (NLP), and other statistical and machine-learning methods over the structured and unstructured operational and knowledge data. * 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. * Document analytical methods, data transformations, assumptions, validation results, limitations, and methodology changes, and contribute to progressively standardizing and scaling the Innovation Analytics service. ## Related Videos - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [The shadows that follow the AI generative models](https://www.wearedevelopers.com/videos/624-the-shadows-that-follow-the-ai-generative-models) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)