WBG Pioneer - Data Analysis Intern

WBG Pioneer - Data Analysis Intern

Job #: req37848 Organization: World Bank Grade: T4 (No-fee) Location: Washington, DC,United States Hiring Manager:Tea Trumbic

Required Language(s): Preferred Language(s): Closing Date: 8/12/2026 (11:59pm UTC)

Description

WBG Pioneers, the World Bank Group’s Internship Program, offers undergraduate and postgraduate students a high impact learning experience at the heart of global development. Participants gain hands on experience in a diverse and dynamic environment, contribute fresh perspectives and innovative ideas, and connect with international professionals working to end poverty on a livable planet.

WBG Pioneer

Background/Organizational Context

The World Bank Group’s
Women, Business and the Law (WBL) project examines laws and regulations
affecting women’s prospects as entrepreneurs and employees across 190
economies. Its goal is to inform policy discussions on how to remove legal
restrictions on women and promote research on how to improve women’s economic
inclusion. The Women, Business and the Law index serves as a road map
for reform by capturing three interdependent pillars that together shape
women’s access to jobs: laws, policies and institutions, and
enforcement perceptions across ten topics: Safety, Mobility, Work,
Pay, Marriage, Parenthood, Childcare, Entrepreneurship, Assets, and Pension.

Duties and Responsibilities

Data Preparation, Cleaning, and Quality Control:

• Clean, validate, and
reconcile large, multi-source datasets, identifying and correcting errors
in data values, structures, and formulas.

• Develop and apply
systematic processes to standardize, map, and reconcile data across teams,
systems, and file formats, while using automated checks to flag
inconsistencies for review.

• Prepare API-ready
data outputs, including JSON files, for data feeds, website
visualizations, and other digital applications.

• Develop and implement
data-cleaning protocols, validation rules, and automated quality checks.
Conduct data audits
and produce monitoring and quality-assurance reports to identify issues
and track their resolution.

Data Analysis:

• Analyze data to
identify trends, patterns, and actionable insights, and prepare
analytical, progress, and monitoring reports using tools such as Excel or
Python.

• Present findings
clearly to technical and non-technical audiences through reports,
presentations, and other communication products.

AI Integration:

• Pilot AI-powered
workflow to enhance data quality, integrity, and operational
efficiency.

• Conduct AI-driven
analysis to support data validation
and insights generation.

• Establish monitoring
and evaluation mechanisms to track AI model performance and ensure
continuous improvement.

• Ensure transparency
and documentation of AI workflows, including prompt engineering,
versioning, and reproducibility.

• Suggest ways to
automate verification of survey responses with primary data sources, check
survey responses against each other and follow up with
respondents until a final, verified country profile is produced.

• Identify and
mitigate risks related to bias, accuracy, and reliability of AI-generated
outputs.

Data Visualization:

• Interpret
complex datasets and develop clear, intuitive visualization concepts that
communicate key findings to technical and non-technical audiences.

• Develop prototypes, mock-ups, and data visualization products for dashboards, websites, reports, and other digital applications, using tools such as Tableau, Flourish, Power BI, or similar platforms to create compelling, user-friendly visualizations.

Selection Criteria

• A master’s candidate
in data analytics, data science, statistics, computer
science, machine learning, artificial intelligence, information
technology, or an equivalent field.

• Strong proficiency in
a programming language such as Python, with experience managing, cleaning,
and analyzing large datasets. Familiarity with JavaScript and
SQL is a plus.

• Advanced Microsoft
Excel skills, including formulas and data management.

• Experience using AI-assisted
workflow to conduct legal research is a strong plus.

• Experience
integrating AI solutions to improve system automation is preferred.

• Demonstrated ability
to analyze data, translate findings into actionable insights, and
communicate results to technical and non-technical audiences.

• Strong attention to
detail, initiative, and the ability to work independently while managing
multiple priorities.

• Excellent
interpersonal, teamwork, and English communication skills, with the
ability to work effectively in a multicultural environment.

No-Fee Internship Eligibility
This position is offered under the WBG Pioneers No-Fee Internship Track. Students may be offered a no-fee STT appointment provided that they either: (a) are enrolled in a Master's, PhD, or similar graduate program during the entire internship (or are in the fifth year or higher of a degree program in countries where higher education is not divided into undergraduate and graduate stages) and provide an official letter from their university confirming that the internship fulfills academic requirements for at least one term of study; or (b) are enrolled in undergraduate or graduate studies and receive a stipend from their university at least equivalent to the minimum STT T1 fee level in effect at the start of the assignment, as confirmed by an official university letter.
Note: Please limit your applications to a maximum of three positions. Applications exceeding this limit will not be considered.

WBG Culture Attributes:
1. Sense of urgency: Anticipate and quickly respond to the needs of internal and external stakeholders.
2. Thoughtful risk-taking: Challenge the status quo and push boundaries to achieve greater impact.
3. Empowerment and accountability: Empower yourself and others to act and hold each other accountable for results.

The World Bank Group values diversity and encourages all qualified candidates who are nationals of World Bank Group member countries to apply, regardless of gender, gender identity, religion, race, ethnicity, sexual orientation, or disability. Sub-Saharan African nationals, Caribbean nationals, and female candidates are strongly encouraged to apply.