E T Consultant

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 Infrastructure Vertical The World Bank Group (WBG) Infrastructure Vertical provides public and private solutions to operational teams and clients across the WBG to produce scalable impact. Its mandate is to deliver knowledge for impact to support the WBG to achieve its goals in support of our mission and specifically: providing guidance on creating more and better jobs by: (i) supporting foundational infrastructure and human capital, (ii) policy environment, and (iii) enabling and mobilizing private sector capital. With 60 years of experience, the WBG is poised to support the sector becoming an engine of growth and jobs through improving policies and governance, foundational infrastructure and private sector investments. WBG lending in the sector is expected to grow substantially. The Infrastructure VPU’s objectives in driving outcomes include replicating and scaling effective solutions, enhancing thought leadership and innovation, and delivering timely knowledge to client teams. For more information: https://www.worldbank.org/en/topic/infrastructure The Disaster Management, Solutions Impact Unit (KIUSD) supports low and middle-income countries to understand, manage, and reduce their risks from natural hazards and climate change. Within KIUSD, the Global Facility for Disaster Reduction and Recovery (GFDRR) umbrella trust fund is a global partnership that helps low- and middle-income countries better understand and reduce their vulnerability to natural hazards and climate change. GFDRR supports analytics and technical assistance to governments in the most vulnerable countries and communities where it will have the greatest positive impact. As a donor-funded program, GFDRR consults regularly with donors and actively strives to maintain and develop new partnerships for increased impact. For more information: https://www.gfdrr.org/en Please note this position is financed by a Trust Fund and renewal is contingent upon availability of funding, in addition to other factors, including but not limited to business needs, staff performance and skills fit.

Job Duties and Responsibilities

The overall objective of the assignment is to develop and apply in-house resilient infrastructure analytics covering exposure, vulnerability, criticality analyses. The Data Scientist will support the Resilient Infrastructure thematic area in GFDRR (RI). The immediate focus is to further develop and apply the “Infrascan” tool, which produces multi-hazard exposure, vulnerability, and risk assessments for infrastructure assets. RI anticipates strong demand for these outputs from World Bank task teams, both for operations and for advisory and advocacy products. The Data Scientist will play a key role in responding to task teams by producing semi-standardized “Infrascan” notes and supporting teams in interpreting and communicating results, including in policy preliminary investment dialogues. On tool development, the Data Scientist will help refine and expand the tool by: adding additional hazards (potentially including drought, extreme heat, and wildfires); increasing automation to make the workflow as close to plug-and-play as feasible across sectors and hazards; and contributing to a bottom-up repository of local datasets covering infrastructure assets, hazards, vulnerability curves, and asset cost estimates. In addition, the Data Scientist will contribute to other RI workstreams and help catalyze collaboration with other GFDRR thematic areas and relevant analytics produced by WBG teams. This includes: (i) running network analysis tools to assess the impacts of hazard-related transport disruptions at urban and inter-regional scales; (ii) advancing the development and analytics for geospatial “predicted employment” layers based on an existing algorithm; (iii) supporting the application of methodologies to generate extreme event damage scenarios for system stress testing; and (iv) contributing to other RI analytics, including work on cost–benefit ratios of resilience investments and the identification of critical elements required to maintain infrastructure services. The Data Scientist will be a core member of the RI, providing analytics to support World Bank regional teams and strengthen the systematic integration of resilience into infrastructure-related policy and investment operations, including:

• Take a leading role in the development and application of geospatial and other quantitative tools within RI.
• Support the development and delivery of knowledge products and operational toolkits to enhance capacity of task teams to deliver operations related to resilient infrastructure, including assessing impacts and identifying mitigation measures for climate-related hazards and geohazards.
• Support task teams in communicating results from RI tool applications through presentations, training, talking points, and concise summaries in multiple formats.
• Coordinate with key partners inside and outside the WBG that manage or develop geospatial tools.
• Contribute to program deliverables, including preparation of GFDRR communication and dissemination materials, results monitoring, reporting, budgeting, and branding.
• Deliver presentations and workshops in a variety of settings, including with task teams, government counterparts, and internal and external events.
• Carry out other tasks, as needed, to support the overall objective of the position.