IFC Global Internship Program (7) – ESG Data Science Internship

at IFC - International Finance Corporation
Published February 6, 2023
Location Washington, United States of America
Category Data Science  
Job Type Internship  



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 2022, IFC committed a record $32.8 billion to private companies and financial institutions in developing countries, leveraging the power of the private sector to end extreme poverty and boost shared prosperity as economies grapple with the impacts of global compounding crises. For more information, visit www.ifc.org.

IFC’ ESG Sustainability Advice Solutions Department is seeking two interns as part of our Global Internship Program (GIP).  The Global Internship Program (GIP) offers highly motivated individuals an opportunity to be exposed to the mission and work of IFC and the broader World Bank Group and become part of the largest private sector development institution in the world. The program encourages individuals to bring new perspectives and innovative ideas to IFC’s work, while improving skills in a diverse and highly stimulating environment. Moreover, the Global Internship Program provides a unique opportunity to exchange ideas and network with international professionals dedicated to ending extreme poverty and boosting prosperity in the developing world. 

The Internship period will be between May 2023– September 2023.

Duties and Accountabilities:  
• Core Project: The interns will support the further development of MALENA (Machine Learning ESG Analyst). MALENA is a virtual Artificial Intelligence powered platform developed to support environmental, social, and governance (ESG) analysis using Natural Language Processing. The interns will work closely with the Lead Data Scientist and a team of developers to apply state-of-art deep learning techniques such as transformer-based modeling (e.g., Google BERT, RoBERTa, Google T5), Named-Entity Recognition (NER), Machine translation, and Optical Character Recognition (OCR) to ESG domain. This internship will provide a unique opportunity to mature interns' programming skills, especially in Python (PySpark), R, or Scala. At conclusion, interns will be able to fully leverage deep learning frameworks such as Pytorch, TensorFlow, Keras, MLFlow, and standard Machine Learning libraries like Pandas, NumPy, or Scikit-learn. Interns will benefit from access to the World Bank Group-approved Data Science Cloud Platform (namely Azure Databricks) with GPU machines to design and train deep learning models for internal and external end-users.
• Secondary Projects: The data science team works closely with Business operations, and interns will have an opportunity to engage with these teams to understand IFC’s approach to impact investing and integrating ESG into lending and investment transactions.

Selection Criteria

• Candidates must be currently enrolled in a Masters’ degree level program with expected graduation date after December 1st, 2023 in order to be eligible.
• Field of study, Master’s in Business Administration, Finance, Economics, or related.
• At least 3 years of previous work experience conducting market research, financial modeling & statement analysis.
• Proficient with Jupyter Notebooks
• Proficient with deep learning frameworks such as Pytorch, TensorFlow, or Keras
• Data Engineering skills including Optical Character Recognition (OCR), Python scripting, data scraping, and crawling, etc.
• Data Visualization skills.
• Fluency in English 
Please refrain from submitting more than three applications to our internship program otherwise your candidacy may be disqualified and rescinded.  

Poverty has no borders. Neither does excellence. This is why we continually search for qualified individuals with diverse backgrounds from around the globe. 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.