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Data Scientist job at World Bank | Apply Now
Washington D.C., DC, United States
Full Time
Are you looking for Data Scientist jobs 2025 today? then you might be interested in Data Scientist job at World Bank
About the Organisation
The World Bank Group is a renowned international financial institution whose mission is to end extreme poverty and promote shared prosperity by supporting sustainable development in low- and middle-income countries. Established in 1944, the organization has evolved into a multifaceted institution comprising five specialized agencies that provide financial products, policy advice, and technical assistance across diverse sectors. With an unmatched global presence in over 100 countries, the World Bank Group is widely recognized for its data-driven development solutions, strong partnerships, and role in shaping economic policies worldwide.
The institution promotes a values-driven and inclusive work culture that empowers employees to contribute to meaningful change, offering a wide range of job opportunities and flexible work arrangements suited to professionals from diverse backgrounds. It operates on an innovative business model that blends finance, knowledge, and convening power to address pressing development challenges, from climate change and infrastructure to education and health. Core values such as integrity, impact, respect, and innovation guide its daily operations, while its commitment to Corporate Social Responsibility is reflected in projects aimed at social equity, environmental sustainability, and community empowerment. With a reputation for excellence and a legacy of driving transformational change, the World Bank Group remains a pivotal force in global development. More information can be found at www.worldbank.org.
The World Bank Group is one of the world’s largest sources of funding and knowledge for developing countries. It is a unique global partnership of five institutions working to reduce poverty, increase shared prosperity, and promote sustainable development. With 189 member countries and over 120 offices worldwide, the World Bank collaborates with public and private sector partners to support innovative projects and apply data, research, and technology to solve global development challenges.
Job Title
Data Scientist job at World Bank
World Bank
Job Description
As a Data Scientist in the Trade Unit (ETIRI), you will contribute to the World Bank’s efforts to enhance trade policy programs using cutting-edge data science approaches. You will support the development and maintenance of large datasets, help implement big data pipelines, assist in creating reproducible research packages, and engage with client countries to inform policy through data-driven insights. The role also involves contributing to knowledge products, supporting trade analytics, engaging in global and country-level dialogue, and representing the team in conferences and learning events.
Duties, Roles and Responsibilities
Contribute to analytical studies using big data (e.g., Logistics Performance Index).
Maintain and update large datasets, in collaboration with external providers.
Build and manage big data pipelines for various data formats and scales.
Support trade team members with reproducibility packages and collaboration with research teams.
Develop toolkits for analytical work using machine learning and big data.
Participate in country-level analytics, client policy dialogues, and lending projects.
Prepare briefs, presentations, policy notes, and review key documents.
Organize and contribute to dissemination activities, workshops, and learning programs.
Engage in internal knowledge sharing (Data Science & Statistics Community).
Foster partnerships with other units and external organizations on big data analytics.
Assist the Practice Manager in quality control and corporate deliverables.
Represent the team at internal and external knowledge exchange events.
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SERVICES
COMMERCIAL
SERVICES
INDUSTRIAL
SERVICES
RESIDENTIAL
Qualifications, Education and Competencies
Master’s or advanced degree in Data Science, Economics, Trade, or related fields (PhD preferred).
Minimum 5 years of relevant experience (or 2 years with a PhD) in data science and trade analytics.
Strong analytical, organizational, and independent research skills.
Proficiency in Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch).
Experience with big data tools (Databricks, PySpark).
Familiarity with GIS, SQL, and data management tools (e.g., GitHub).
Hands-on experience with machine learning (supervised/unsupervised learning, neural networks).
Solid understanding of the data lifecycle, reproducibility, and data protection.
Excellent communication skills, including data visualization and leadership under pressure.
Ability to manage multiple priorities and meet tight deadlines in a team setting.
How to Apply
ONLINE APPLICATION ONLY!
Interested candidates are advised that applications for this position must be submitted online. To apply, please click on the "Apply" button below.
