[World Bank] E T Consultant - Data Scientist
Ente: World Bank
Scadenza: 2026-09-30
Paese: INTL
Descrizione
E T Consultant - Data Scientist World Bank Open positions at World Bank Show advice for this position Application deadline in 11 days : Tuesday 29 Sep 2026 at 00:00 UTC Open application form AI Application Assistant: Maximize your UN job search. AI Application Assistant Details E T Consultant - Data Scientist Job #: req38313 Organization: World Bank Sector: Research & Quantitative Analysis Grade: EC2 Term Duration: 1 year 0 months Recruitment Type: Local Recruitment Location: Washington, DC,United States Required Language(s): English Preferred Language(s): Closing Date: 9/28/2026 (MM/DD/YYYY) at 11:59pm UTC Description Working at the World Bank Group (WBG) provides a unique opportunity to help client countries solve their great-est development challenges. The WBG is one of the largest sources of funding and knowledge for developing countries—a unique global partnership of five institutions dedicated to ending extreme poverty, increasing shared prosperity, and promoting sustainable development on a livable planet. With more than 120 offices worldwide, we work with public and private sector partners, investing in groundbreaking projects and using data, research, and technology to develop solutions to the most urgent global challenges. For more information, visit www.worldbank.org. Office of the Managing Director and Chief Knowledge Officer The Managing Director and Chief Knowledge Officer (MDCKO) oversees the World Bank Group's knowledge and partnership agenda and helps ensure that the institution's analytical and operational work responds to the most pressing development challenges facing client countries and global partners. The office plays a key role in shaping the WBG's strategic direction, supporting key partnerships with shareholders, development agencies, academia, and other stakeholders, and strengthening how knowledge, evidence, and learning inform development impact. With the launch of the Knowledge Bank at the start of 2026, the WBG is deepening its focus on one of the areas client countries value most: global knowledge on what works, where, and why. The Knowledge Bank is intended to bring global expertise closer to country challenges, strengthen collaboration across sectors and institutions, and help scale practical solutions that can improve lives, create jobs, and support better development outcomes. As part of this model, the WBG now operates through five vertical vice presidencies aligned with the mission: People, Prosperity, Planet, Infrastructure, and Digital & AI. In addition, three horizontal departments reporting to the MDCKO enhance knowledge, innovation, and outcome orientation across the WBG. One of those horizontal departments focuses on improving the institution's outcome orientation: the Department for Outcomes. About the Department for Outcomes The Department for Outcomes is a corporate delivery and change team at the center of the World Bank Group's shift from measuring activity to managing for impact. Its mandate is to make outcomes visible, comparable, and actionable so that leaders and teams can understand where the institution is changing lives, where progress is off track, and what needs to change next. The Department leads the implementation of the World Bank Group Scorecard as an accountability, management, and communications tool. It develops and improves outcome indicators, methodologies, and targets in areas such as jobs, climate, private capital, gender, and youth; provides quality assurance; and connects outcome ambitions to knowledge, operations, and financing. Through its Outcome Measurement and Outcome Delivery units, the De-partment combines corporate reporting with portfolio analytics, forecasting, regular stocktakes, and action plan-ning across the World Bank, IFC, and MIGA. The Department also has a growing global role. It convenes multilateral development banks, development agen-cies, researchers, and external experts to improve and align outcome approaches, build institutional capacity, and modernize the profession of results measurement. Its work reaches from project-level data to senior management decisions, and from new methodologies inside the World Bank Group to shared approaches across the internation-al development system. Technology and innovation are core to how the team works. The Department develops AI-enabled analytics, data pipelines, forecasting models, interactive visualizations, and decision-support products that turn large and com-plex datasets into clear choices for operational teams, senior management, and external stakeholders. A piece of analysis is not considered finished when it is technically correct; it is finished when it helps improve a decision, a process, or a development outcome. The culture is entrepreneurial, collaborative, and demanding. The team moves quickly because the needs are ur-gent, tests ideas early, learns from users, improves continuously, and expects high standards from concept through delivery. It values intellect
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