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Internship Data Classification Jobs in Washington, DC

US AI

Sr. Data Scientist

Rockville, MD · On-site

$150K - $200K/yr

Demonstrated expertise gained through relevant internships, coursework, and personal projects that ... Deep understanding of predictive modeling, machine-learning, clustering and classification ...

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Internship Data Classification information

See Washington, DC salary details

$13

$25

$47

How much do internship data classification jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for internship data classification in Washington, DC is $25.49, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $27.79 per hour, depending on experience, location, and employer.

What is the difference between Internship Data Classification vs Data Analyst?

AspectInternship Data ClassificationData Analyst
Required CredentialsTypically pursuing or recent graduate, some knowledge of data conceptsBachelor's degree in data-related field, some roles require certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time, professional environment, independent analysis
Employer & Industry UsageInternship programs in tech, finance, healthcareAcross industries, including tech, finance, marketing
Search & Comparison IntentLearning about entry-level data roles, internshipsUnderstanding data analysis careers, job requirements

Internship Data Classification is an entry-level, supervised role focused on learning data categorization tasks during an internship. In contrast, a Data Analyst is a full-time professional responsible for analyzing data to inform business decisions. While both roles involve working with data, internships are designed for skill development, whereas data analysts perform independent, ongoing analysis in a professional setting.

Internship Data Classification jobs near you

WBG Pioneer - AI Data Scientist Intern

The World Bank Group

Washington, DC

Other

Posted 22 days ago

Job description

Every World Bank-financed project depends on systems that track how money is spent, how risk is managed, and how communities are protected. ITSFD builds those systems-this internship is a chance to work on them directly.

Background/Organizational Context

The World Bank Group (WBG) finances development projects across the globe through three distinct institutions, the International Bank for Reconstruction and Development and the International Development Association (IBRD/IDA), the International Finance Corporation (IFC), and the Multilateral Investment Guarantee Agency (MIGA). The Information and Technology Solutions (ITS) Vice Presidency of the World Bank Group delivers a wide portfolio of technology products and services that enable the WBG's development mission. Within ITS, the Fiduciary Operations unit (ITSFD) is responsible for digital solutions that support Procurement, Financial Management, and Environmental and Social Safeguards across World Bank operations.

About the Team: E&S (Environmental & Social)

This internship program is hosted by the E&S (Environmental & Social) team, the product and technology team within ITSFD responsible for building and maintaining the digital systems that support the World Bank Group's environmental and social risk management and accountability functions. The E&S product team builds the tools that both groups, along with task teams and safeguards specialists across the Bank, rely on daily track and manage workflows, and report on E&S risk and compliance.

Interns will gain hands-on exposure to how the Bank manages environmental and social risk, complaints, and incident tracking across its global project portfolio. Depending on their track, they'll build skills in requirements gathering, applied AI/ML for risk classification and case triage, or data engineering, all while contributing to tools that support accountability and protect communities affected by Bank-financed projects.

Duties and Responsibilities
  • Support the design, development, and testing of AI/ML models to support E&S case triage, risk classification, or analytics use cases.
  • Assist in data preparation, feature engineering, and model evaluation using structured and unstructured data from case management systems.
  • Contribute to proof-of-concept work exploring generative AI and automation opportunities within E&S workflows.
  • Collaborate with data engineers and product owners to translate business problems into data science solutions.
  • Document methodologies, model performance, and findings for technical and non-technical audiences.

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