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E T Consultant - Data Scientist

Pay
Pay not listedSimilar roles state $118K–$193K
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Support development, testing and refinement of outcome indicators and methodologies

  • Build AI-enabled analytics, data pipelines and forecasting models

  • Create visualizations and decision-support products for leaders and teams

From the employer’s posting
Support the development, testing, and refinement of outcome indicators and methodologies at
The Department develops AI-enabled analytics, data pipelines, forecasting models, interactive visualizations
decision-support products that turn large and complex datasets into clear choices
Apply at World Bank Group

Posting record

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Status in our records
Live
First seen by us
Nov 4, 2026today
Recorded sightings
2
Last seen by us
Nov 5, 2026
Reposted
once since Sep 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 7 and day 56.

At World Bank Group, jobs usually come down by about day 18.

From 10,194 similar postings that came down, and 58 of World Bank Group’s. Coming down is not always a hire.

World Bank Group is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is steady
  • Takes jobs down quickly
  • 25% of open jobs were reposted
Hiring record

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Complete your application on worldbankgroup.csod.com. The employer’s form will show what is required.

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Has World Bank Group posted this job before?

Yes. We’ve followed 2 other E T Consultant - Data Scientist jobs there since June 2026. All 2 are still up.

  1. WashingtonStill up after 129 days, first seen Jun 29
  2. WashingtonStill up after 52 days, first seen Sep 14
  3. This jobUp 1 day so far, first seen Nov 4

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,826.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

At the World Bank, a member of the World Bank Group (WBG), you’ll join a diverse, global community working across cultures, disciplines, and borders to address the world’s most pressing development challenges. With 1.2 billion young people reaching working age in the decade ahead, the challenge of job creation has never been greater. Through partnerships across 145 countries and more than 182 offices worldwide, we work with governments, private sector, development partners and other stakeholders to invest in people, strengthen markets, and deliver scalable, data-driven solutions that generate more and better jobs and improve lives. For more information, visit https://www.worldbank.org/en/who-we-are/ibrd 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 agen-cies, academia, and other stakeholders, and strengthening how knowledge, evidence, and learning inform de-velopment impact. With the launch of the Knowledge Bank at the start of 2026, the WBG is deepening its fo-cus 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 sup-port 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 report-ing 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 Out-comes. 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, com-parable, 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, manage-ment, 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 out-come ambitions to knowledge, operations, and financing. Through its Outcome Measurement and Outcome Delivery units, the Department combines corporate reporting with portfolio analytics, forecasting, regular stocktakes, and action planning across the World Bank, IFC, and MIGA. The Department also has a growing global role. It convenes multilateral development banks, development agencies, researchers, and external experts to improve and align outcome approaches, build institutional ca-pacity, and modernize the profession of results measurement. Its work reaches from project-level data to sen-ior management decisions, and from new methodologies inside the World Bank Group to shared approaches across the international 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 complex 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 im-prove a decision, a process, or a development outcome. The culture is entrepreneurial, collaborative, and demanding. The team moves quickly because the needs are urgent, tests ideas early, learns from users, improves continuously, and expects high standards from concept through delivery. It values intellectual curiosity, rigorous analysis, direct communication, ownership, thoughtful risk-taking, and the readiness to challenge established practices. Young talent has been a major source of the Department's innovation and rapid delivery; the selected Data Scientist ETC will be expected not only to contribute to the agenda but to help shape it. Position Context The Department for Outcomes is seeking dynamic, versatile Data Scientist Extended Term Consultants (ETCs) who operate fluently across code, evidence, strategy, and executive delivery. The successful candi-date will combine strong data science and quantitative research skills with knowledge of development opera-tions and a passion for evidence-informed decision-making and institutional change. The position offers di-rect exposure to corporate strategy, high-level leadership decision-making, and the global ecosystem of mul-tilateral development banks (MDBs). This single selection process is designed to select and hire up to four (04) Data Scientist ETCs, subject to candidate profile, technical screening, and interview evaluations. Selected candidates will be mapped across workstreams within the Outcome Measurement and Outcome Delivery units, based on business needs. Selected consultants will join the team on-site at WBG Headquarters in Washington, D.C. What You’ll Deliver The Data Scientist ETC will contribute across analytical, technical, and operational workstreams: • Indicator Methodology, Design Quality Assurance: Support the development, testing, and refinement of outcome indicators and methodologies at both the project and portfolio level. This includes end-to-end data collection, data cleaning, exploratory analysis, and rigorous quality assurance of WBG Scorecard indicators, as well as conducting manual and automated reviews of results frameworks in operational pro-ject documents (e.g., Project Appraisal Documents [PADs], Implementation Status and Results Reports [ISRs], and Implementation Completion and Results Reports [ICRs]) when required. • Outcome Targets Predictive Forecasting: Support the formulation and regular monitoring of out-come targets to inform evidence-based decisions on corporate strategies and operational portfolios. Re-sponsibilities include in-depth reviews of strategy and project documentation, curation of outcome da-tasets, application of statistical and forecasting techniques to project future portfolio-level trajectories, and synthesis of strategic findings. • AI for Outcomes Engineering Tool Development: Actively contribute to the AI for Outcomes pro-gram by designing, building, evaluating, and maintaining analytical tools, data pipelines, and intelligent products. This includes engineering applications powered by Large Language Models (LLMs), natural language processing (NLP), and machine learning to strengthen outcomes measurement, extract opera-tional insights from unstructured text, and support evidence-based decision-making. • Methodological Notes Guidance Development: Author and contribute to methodological notes, indi-cator reference sheets, and technical guidance documents. Ensure quality assurance of results data by drawing on leading research and evaluation methods used across MDBs and international partners, di-rectly strengthening the credibility, consistency, and comparability of reported outcomes. • Portfolio Analytics Strategic Executive Insights: Analyze outcome metrics from across WBG opera-tions, aggregate portfolio results, and monitor where and how the institution is delivering on its develop-ment commitments. Extract actionable insights and strategic signals to feed into corporate decision-support platforms utilized by WBG Senior Leadership. • Executive Visualization Strategic Communication: Translate complex, multidimensional analytical and econometric findings into clear, visually compelling, and consulting-style deliverables. This includes crafting high-level executive slide decks, briefs, interactive dashboards, talking points, and briefing memos tailored for senior management, technical peers, and non-specialist audiences. • Thematic Workstreams Action Plans: Contribute to the rollout of outcome-related corporate action plans and cross-cutting thematic work (such as jobs, climate, private capital mobilization, women, and youth) in close collaboration with Regional operational teams, vertical Vice Presidencies, IFC, and MI-GA. • Stakeholder Convening Global Partnerships: Support the Department’s convening, learning, and ca-pacity-building engagements with internal and external stakeholders, including working groups with oth-er multilateral development banks, partner development agencies, academic experts, and external adviso-ry bodies such as the Jobs Council. • Workstream Project Management: Provide proactive project management support across analytical workstreams, including scoping tasks, coordinating inputs from multidisciplinary teams, tracking mile-stones, managing delivery timelines, and ensuring outputs meet the highest standards of technical rigor. • Ad-Hoc Program Delivery: Contribute flexibly to additional emerging work program priorities, rapid-response analytical requests, and corporate initiatives of the Department for Outcomes as needed.
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