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Climate Modelling Jobs in Washington, DC (NOW HIRING)

InterAgency

Data Analyst II (Hybrid)

Washington, DC · On-site

Our goal is to facilitate major climate change initiatives and enhance our local community ... Must be able to run advanced statistical modelling and analysis. * Excellent organizational ...

Interagency

Data Analyst II (Hybrid)

Washington, DC · On-site

$85K - $115K/yr

Our goal is to facilitate major climate change initiatives and enhance our local community ... Must be able to run advanced statistical modelling and analysis. * Excellent organizational ...

Interagency

Data Analyst II (Hybrid)

Washington, DC

$85K - $115K/yr

Our goal is to facilitate major climate change initiatives and enhance our local community ... Must be able to run advanced statistical modelling and analysis. * Excellent organizational ...

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Climate Modelling information

What is climate modelling?

Climate modelling is the use of computer-based mathematical models to simulate the Earth's climate system, including the atmosphere, oceans, land surface, and ice. These models help scientists understand past, present, and future climate conditions by analyzing interactions between various components of the climate. Climate models are essential tools for predicting future climate changes, assessing the impact of human activities, and informing policy decisions related to climate change mitigation and adaptation.

What are some typical collaborative projects that climate modellers work on with other scientists?

Climate modellers frequently collaborate with meteorologists, oceanographers, data scientists, and policy experts to create comprehensive simulations and forecasts. These joint projects might include developing regional climate impact assessments, evaluating mitigation strategies, or contributing to international reports like those from the IPCC. Working in interdisciplinary teams allows climate modellers to integrate diverse data sets and perspectives, enhancing the accuracy and relevance of their models. Collaboration is essential for translating complex climate data into actionable insights for stakeholders and policymakers.

What are the key skills and qualifications needed to thrive as a Climate Modeller, and why are they important?

To thrive as a Climate Modeller, you need a strong background in atmospheric sciences, mathematics, and programming, typically supported by an advanced degree in climate science, meteorology, or a related field. Proficiency with climate modelling software (such as WRF or CESM), data analysis tools (like Python, MATLAB, or R), and experience with high-performance computing environments are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex model outputs into actionable insights. These skills and qualities are crucial for producing accurate climate projections that inform policy decisions and scientific understanding.

What is the difference between Climate Modelling vs Climate Data Analysis?

AspectClimate ModellingClimate Data Analysis
Required CredentialsBachelor's or Master's in Environmental Science, Meteorology, or related fields; programming skillsBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentResearch labs, universities, government agencies; computational and simulation workData centers, research institutions, consulting firms; data processing and interpretation
Employer & Industry UsageClimate research, environmental agencies, academiaEnvironmental consulting, research, policy analysis

Climate Modelling involves creating simulations to predict climate patterns using complex models, while Climate Data Analysis focuses on interpreting existing climate data to identify trends and insights. Both roles require strong analytical skills but differ in their approach—modeling emphasizes simulation, whereas data analysis emphasizes data interpretation.

What are popular job titles related to Climate Modelling jobs in Washington, DC? For Climate Modelling jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Climate Modelling jobs in Washington, DC look for? The top searched job categories for Climate Modelling jobs in Washington, DC are:
Climate Modelling jobs near you
Infographic showing various Climate Modelling job openings in Washington, DC as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Transport Specialist- Modelling

Transport Specialist- Modelling

The World Bank Group

Washington, DC

Other

Posted 2 days ago

Job description

Do you want to build a career that is truly worthwhile? Working at the World Bank provides a unique opportunity for you to help our clients solve their greatest development challenges.  The World Bank consists of two entities - the International Bank for Reconstruction and Development (IBRD) and the International Development Association (IDA).  It is a global development cooperative owned by 189 member countries.  As the largest development bank in the world, the World Bank provides loans, guarantees, risk management products, and advisory services to middle-income and creditworthy low-income countries, and coordinates responses to regional and global challenges.  For more information, please visit www.worldbank.org.

WBG Infrastructure Knowledge Bank 

The 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. The WBG's 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

WBG Transport and Logistics Department (KIT) 

The World Bank Group (WBG) Transport and Logistics Department (KIT) is dedicated to enabling sustainable, efficient, and inclusive movement of goods and people worldwide.  As a core part of the WBG's mission, the department focuses on developing, financing, and advising on transport infrastructure and services that are vital for economic growth, regional integration, and poverty reduction.

Our work encompasses all modes of transport-including road, rail, maritime, and aviation-and covers both urban and rural environments.  The department collaborates with public and private sector partners to design and implement innovative solutions that address emerging challenges such as climate change, rapid urbanization, technological advancements, and the need for improved supply chain resilience.

KIT Department is organized into three units: Policy and Regulations (KITPR), Solutions and Impact (KITSI), and Trust Funds for Safe and Sustainable Transport (KITEF).  

KITPR is global unit focused on shaping enabling policy and regulatory frameworks that support sustainable transport and logistics development.  It delivers knowledge services, policy advice, and model regulatory solutions across infrastructure and urban sectors, drawing on global best practices and innovation.  The unit works closely with regional teams and partners to develop scalable policy tools, support regulatory reform, and build institutional capacity.  KITPR increasingly applies geospatial analytics, remote sensing, and spatial data science to inform planning, investment prioritization, and policy dialogue across transport corridors, urban mobility systems, and rural connectivity.  A key priority is strengthening analytical models and tools to support evidence-based transport and logistics investments. 

KITPR is seeking to hire a Transport Modeling Specialist to be based at the World Bank headquarters in Washington D.C. to support its work program, including serving as the focal point for several of KIT's transport models and tools.  He/she will report to the Manager of Policy and Regulations (KITPR).  On a day-to-day basis, he/she will work under the supervision of senior staff in the unit and the department. 

Job Duties and Responsibilities:

The Transport Modeling Specialist is expected to display leadership and excellence in transport modeling and data analytics, which is the focus of this position.  The selected candidate will join the core team of transport modelers and data scientists of KIT department. Strong hands-on experience in developing, applying and training others on using transport analytical models and tools are also required. 

The primary objectives of the assignment will be to:

Design, build, maintain, and continuously update the WBG's suite of models and analytical tools for transport sector work.  The role spans both goods and passenger transport, encompassing the full breadth of transport infrastructure and systems, including road and rail networks and corridors, ports and maritime transport, and logistics nodes. 
Work with complex, multi-layered datasets covering trade flows, population, and socio-economic and environmental variables, ensuring that the WBG's transport analytical capabilities remain current, robust, and fit for operational and advisory purposes.
Maintain and update WBG transport and logistics models, which includes calibrating models for specific applications and conduct advanced analyses for transport corridor diagnostics and prioritization; urban mobility and accessibility assessments; multimodal connectivity mapping; freight movement and logistics network analysis; traffic flow and catchment analysis; and network performance and connectivity evaluation. 
Develop accessibility models to estimate access to jobs, services, markets, and transport infrastructure. 
Support geospatial analysis for investment prioritization and strategic planning at national, regional, and urban scales. 
Prepare briefs, maps, dashboards, and geospatial visualizations to communicate findings to internal teams, government counterparts, and external stakeholders. 
Support climate risk mapping of transport infrastructure and networks using hazard datasets such as flooding, landslides, sea-level rise, heat stress, or other climate exposure layers. 
Analyze infrastructure vulnerability and criticality to inform resilience planning and adaptation interventions. 
Integrate transport network data with climate and hazard information to identify critical assets and priority investment needs. 
Support the development of reproducible code for country-level estimation of road conditions using low satellite imagery and the code validation using ground truth data and high-resolution imagery; process and integrate geospatial datasets, including road networks, rural population datasets, satellite imagery, land cover, elevation, and ancillary datasets. 
Undertake country-level data collection as needed and regularly updating global parameters for electric vehicle modeling, ensuring data accuracy and consistency across all model applications.
Support electric vehicle modelling activities by contributing to functional enhancements, including development, testing, and refinement of modelling features.
Maintain and periodically update model user interface, ensuring functionality, usability, and overall system performance through routine maintenance.
Develop training material and deliver training as needed, for WBG models and tools.

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