E T Consultant - Data Scientist

World Bank Group•Washington, DC

1d•Onsite

About The Position

The World Bank Group’s Department for Outcomes is seeking Data Scientist Extended Term Consultants to support its work making development outcomes visible, comparable, and actionable. The Department leads implementation of the World Bank Group Scorecard and develops outcome indicators, methodologies, targets, quality assurance, portfolio analytics, forecasting, and decision-support products across the World Bank, IFC, and MIGA. The role combines data science and quantitative research with development operations and evidence-informed decision-making, and offers exposure to corporate strategy, senior leadership decisions, and the global multilateral development bank ecosystem. The selected consultants will be assigned across workstreams in the Outcome Measurement and Outcome Delivery units according to business needs. The recruitment process may hire up to four consultants. Work is on-site at World Bank Group Headquarters in Washington, D.C. Consultants will contribute to indicator methodology and quality assurance; outcome targets and forecasting; AI-enabled analytical tools and data pipelines; methodological guidance; portfolio analytics and executive insights; visualizations and strategic communications; thematic action plans; stakeholder convening; project management; and emerging program priorities.

Requirements

A master's degree or higher in Data Science, Computer Science, Economics, Statistics, Applied Mathematics, Information Systems, Public Policy, Public Administration, International Development, Business Management, or a closely related quantitative field; ideally with a strong concentration in analytics.
At least 5 years of professional experience in data science, analytics, results measurement, monitoring and evaluation, portfolio management, management consulting, development finance, or public policy.
High proficiency in Python and SQL.
Applied knowledge of statistical analysis, predictive modeling, machine learning, natural language processing, and modern large language model application workflows.
Working knowledge of software engineering practices, including Git version control, modular code architecture, rigorous testing, and reproducible analytical workflows.
Ability to process structured and unstructured datasets, interact with APIs, manage relational databases, and conduct data quality validation.
Understanding of empirical research, indicator development, evidence sources, and evaluation methodologies, including approaches standard across multilateral development banks and international organizations.
Advanced data visualization and executive presentation skills, including high proficiency in Excel and PowerPoint, and ability to structure complex data into clear executive-ready visual narratives.
Ability to synthesize technical, operational, and qualitative inputs across sectors into an integrated institutional perspective.
Ownership, adaptability, an outside-in mindset, and ability to prioritize and deliver high-quality work under tight deadlines in a fast-paced environment.
Demonstrated ability to collaborate in diverse, multicultural, multidisciplinary teams and bridge technical engineers and operational specialists.
Full professional fluency in English, verbally and in writing.

Nice To Haves

A Ph.D. is strongly preferred.
Prior management consulting or portfolio management experience with direct exposure to senior executive audiences.
Proficiency in R and/or Stata.
Experience deploying interactive dashboards or end-to-end data pipelines.
Familiarity with development operations, operational project cycles, results measurement frameworks, or the World Bank Group Scorecard.
Working proficiency in another official World Bank Group language: French, Spanish, Arabic, Russian, or Chinese.

Responsibilities

Support the development, testing, refinement, data collection, cleaning, exploratory analysis, and quality assurance of outcome indicators and methodologies at project and portfolio levels.
Review results frameworks in operational project documents, including Project Appraisal Documents, Implementation Status and Results Reports, and Implementation Completion and Results Reports, when required.
Support formulation and monitoring of outcome targets by reviewing strategy and project documentation, curating outcome datasets, applying statistical and forecasting techniques, and synthesizing strategic findings.
Design, build, evaluate, and maintain analytical tools, data pipelines, and intelligent products, including applications using large language models, natural language processing, and machine learning.
Author or contribute to methodological notes, indicator reference sheets, and technical guidance, drawing on research and evaluation methods used across multilateral development banks and international partners.
Analyze outcome metrics across World Bank Group operations, aggregate portfolio results, monitor development commitments, and provide actionable insights for senior-leadership decision-support platforms.
Translate complex analytical and econometric findings into executive slide decks, briefs, interactive dashboards, talking points, and briefing memos for senior management, technical peers, and non-specialist audiences.
Contribute to outcome-related corporate action plans and thematic work, including jobs, climate, private capital mobilization, women, and youth, in collaboration with regional teams, vice presidencies, IFC, and MIGA.
Support stakeholder convening, learning, and capacity-building with internal and external stakeholders, including other multilateral development banks, development agencies, academic experts, and advisory bodies.
Provide project management across analytical workstreams by scoping tasks, coordinating multidisciplinary inputs, tracking milestones, managing timelines, and ensuring technical quality.
Contribute to emerging work program priorities, rapid-response analytical requests, and other Department for Outcomes corporate initiatives.