job
Operations Analyst (Data Scientist)
Organization World Bank GroupLocation Washington, DC, United StatesPosted 19 May 2026Deadline 3 Jun 2026
Full Description
Build a career with impact. Working at the World Bank Group (WBG) provides a unique opportunity to help countries solve their greatest development challenges. As one of the largest sources of funding and knowledge for developing countries, the WBG is a unique partnership of five global institutions dedicated to ending poverty, increasing shared prosperity, and promoting sustainable development. With 189 member countries and more than 120 offices worldwide, the WBG works 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. The International Finance Corporation (IFC), a member of the World Bank Group, is the largest global development institution focused on the private sector in emerging markets. We work in more than 100 countries, using our capital, expertise, and influence to create markets and opportunities in developing countries. In fiscal year 2025, IFC committed a record $71.7 billion to private companies and financial institutions in developing countries, leveraging private sector solutions, and mobilizing private capital to create a world free of poverty on a livable planet. For more information, visit: https://www.ifc.org. IFC’s Operations Management Department (COM) drives operational excellence by strengthening how investment operations are designed, managed, and delivered. The department focuses on improving efficiency, decision making, and scalability across the full investment lifecycle, enabling teams to deliver greater impact under increasingly complex and resource-constrained environments. COM works across functions to modernize policies and procedures, business processes, enhance data and analytics, support digital and system transformation, and promote proactive operations management practices. Through close collaboration with operational teams, the department helps translate strategy into practical solutions that improve delivery speed, quality, and risk management. The Analytics, Reporting Data Enablement (COMAR) division serves as the corporation’s center of excellence, responsible for managing IFC’s analytics and reporting platforms, leading management reporting and corporate performance monitoring, building AI-enabled analytics and insights, coordinating IFC’s data governance body and program, managing portfolio solutions and outsourced operations, and delivering data literacy and engagement programs. Duties and Accountabilities COMAR is seeking a qualified candidate to join the Portfolio Intelligence (PI) team, a cross-divisional data science initiative within the COM department that brings together data scientists from across divisions to collaborate on innovative AI and Machine Learning solutions. The PI team leverages IFC's extensive investment data - both historical and current, structured and unstructured - to uncover valuable insights and enhance decision-making quality. Key tasks and responsibilities include: • Gain a deep understanding of IFC’s Investment Operations business processes and data to deliver innovative solutions • Partner with business and technical stakeholders across the organization to translate challenging business problems into impactful data science solutions • Recommend and pursue data science solutions to discover business insights and enable business functions to be data-driven. • Collaborate with data engineers, data stewards, product owners, and business users to support projects through the end-to-end data science lifecycle, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation/testing, and operational deployment • Leverage a diverse set of structured and unstructured data to derive meaningful insights and information sets for modeling • Communicate complex analytical work to a variety of technical and non-technical stakeholders • Maintain expertise and awareness of emerging data science techniques, technologies, and potential business applications for ML/AI • Demonstrate strong interpersonal skills and a desire to work in teams in fast-paced work environments • Manage multiple concurrent projects that require inputs from stakeholders while balancing impact on business needs • Collaborate effectively with IT for technology, tools, data engineering, and platforms • Ensure adherence to data governance policies, standards, and procedures
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