The Data Engineering & Platforms (CITDE) organization, World Bank Group is seeking Data Scientists responsible for leading their 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 driving value for business stakeholders across the International Finance Corporation’s (IFC) various organizations. It involves establishing, leading, and operating the Machine Learning (ML) and Artificial Intelligence (AI) functions to deliver scalable solutions and products while managing data as a valued asset.
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 scaling capabilities that meet the business needs of IFC departments.
Duration: 4 years
Tasks
- 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.
- Utilizes advanced statistical/AI techniques to create high-performing predictive models and other solutions to address business objectives and client needs.
- In-depth knowledge of SQL query techniques and data mining to explore a variety of data sources, gain data expertise, perform summary analyses, and prepare modeling datasets.
- Deploys analytical solutions in production systems.
Works closely with the business stakeholders, technology solutions team, Risk, and several other groups in designing, building, and implementing ML models and AL solutions. - Evangelizes the use of AI-powered data-based decision-making and Analytics within the International Finance Corporation (IFC).
Salary
The World Bank Group offers comprehensive benefits including:
- a retirement plan;
- medical, life, and disability insurance; and
- paid leave, including parental leave, and reasonable accommodations for individuals with disabilities.
Job Requirements
The ideal candidate:
- 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 (linear regression, GLM, survival analysis, time series, etc.) and non-parametric techniques (GBM, NN, NLP).
- Experience in techniques addressing overfitting (Ridge, Lasso, elastic nets), variable selection techniques, feature creation (transformation, binning, high level categorical reduction, etc.), validation (holdouts, CV, bootstrap), and model performance measures.
- Prior programming experience in languages such as R, Python, SPARK, and SQL. Comfort with the professional software development process and GitHub.
- 5+ years of experience in deploying real-time models into production environments. This includes production-ready code, containerizing models, testing, and integration into business processes.
- Detailed recent NLP experience (basic techniques, large language models, transformers, etc.)
- 2+ years of experience with generative AI solutions (both development and deployment/integration).
Application Process
To apply for the Call for Data Scientists at World Bank Group, click here.
Deadline: September 13, 2024.
For more information on the Call for Data Scientists at World Bank Group, visit the official site.
