Data Scientist

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. Our mission is to leverage the power of the private sector to end extreme poverty and boost shared prosperity on a livable planet.

To be considered for an interview, please make sure your application is full in line with the job specs as found below.

Information technology is an integral part of the strategic initiatives for all the core business functions at IFC. Within Corporate Information and Technologies (CIT), Data Engineering, AI and Platforms (CITDE) organization provides comprehensive data and analytics support for IFC's various organizations, such as Economics & Private Sector Developments, Global Industries, Climate Business, Treasury and Mobilization, and many more.

A robust engagement model with business ensures prioritization of the business requirements & focus on delivery. The solution landscape encompasses a wide variety of in-house and customized data applications, AI / ML solutions and scaled capabilities which meet the business needs of IFC departments.

Data Engineering & Platforms (CITDE) organization is seeking a Data Scientist responsible for leading our machine learning and artificial intelligence deliverables & strategy, and the execution of related programs and practices that drive measurable business outcomes.

This role is pivotal to drive value for business stakeholders across International Finance Corporation’s (IFC) various organizations.

This role involves establishing, leading, and operating the Machine Learning (ML) and Artificial Intelligence (AI) function to deliver scalable solutions and products while managing data as a valued asset.

Duties and Responsibilities :

• Implement AI-driven analytics solutions to uncover deeper insights, predict trends, and support data-driven decision-making across the enterprise.
• Institute an enterprise operating model for data and AI that is consistent with the capabilities and competencies required to execute the strategy.
• Champion the use of Artificial Intelligence (AI), Large Language Models (LLM), and Natural Language Processing (NLP) technologies to enhance business processes and customer engagement.
• Supports and helps build a generative AI practice within AI & Data, including supporting use case development and associated stakeholder management in various business areas.
• Independently leads and contributes to data analysis and modeling projects from project / sample design, business review meetings with internal and external clients deriving requirements / deliverables, reception and processing of data, performing analyses and modeling to final reports / presentations, communication of results and implementation support.
• Utilizes advanced statistical / AI techniques to create high-performing predictive models and other solutions to address business objectives and client needs.
• In-depth knowledge in SQL query techniques and data mining to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets.
• Works closely with the business stakeholders, technology solutions team, Risk, and several other groups in designing, building, and implementing ML models and AI solutions.
• Evangelizes the use of AI-powered data-based decision making and Analytics within International Finance Corporation (IFC).
• Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification, and ML model implementations.

Selection Criteria :

• Master’s degree in a quantitative discipline such as statistics, computer science, mathematics, economics, or any related field.
• 5+ years of experience with predictive analytics using large and complex datasets.
• In-depth expertise in both parametric statistical modeling techniques and non-parametric techniques.
• Experience in techniques addressing overfitting, variable selection techniques, feature creation, validation, and model performance measures.
• Prior programming experience in languages such as R, Python, SPARK, SQL.
• 5+ years of experience in deploying real-time models into production environments.
• Detailed recent NLP experience.
• 2+ years of experience with generative AI solutions.
• Experience with disparate impact testing vs. protected classes of statistical models is a plus.
• Strong verbal and written communications skills, listening, cross-functional collaborations and effective presentation skills.

The World Bank Group offers comprehensive benefits, including a retirement plan; medical, life and disability insurance; and paid leave, including parental leave, as well as reasonable accommodations for individuals with disabilities.

We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability.

Learn more about working at the World Bank and IFC, including our values and inspiring stories.

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