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New York, United States

Internship

Onsite

Intern

UNDP’s mission is to lead the United Nations in its fight for a world without poverty. The Data Science Intern will support the Global Fund Investigations Unit by contributing to the development of prototypes that leverage technology and data-driven approaches to enhance internal audit and investigation functions.

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Responsibilities

Assist in evaluating the applicability of advanced data analytics, machine learning, AI, and process automation technologies to expand the scope and effectiveness of fraud investigations;
Contribute to the design and development of new prototypes that demonstrate innovative applications of data analytics, machine learning, AI, or automation within the context of fraud detection, investigative analysis, and audit processes;
Support the refinement and enhancement of existing tools and prototypes, enabling investigations staff to more effectively integrate them into their workflows;
Participate in efforts to improve the overall efficiency, accuracy, and impact of investigative assignments through the application of data-driven solutions;
Document findings, prototype functionalities, and use cases to ensure knowledge sharing and replicability within the team.

Qualification

Required

Be enrolled in a postgraduate degree programme (such as a master’s programme or higher) in Data Science, Computer Science, Finance, or other relevant applied science.
Be enrolled in the final academic year of a first university degree program (such as a bachelor's degree or equivalent) in Data Science, Computer Science, Finance, or other relevant applied science.
Have recently graduated with a university degree (as defined above) and, if selected, must start the internship within one year of graduation.
Be enrolled in a postgraduate professional traineeship program and undertake the internship as part of this program.
Knowledge of Microsoft Office Suite (Word, PowerPoint, Excel) required.
Hands-on experience developing, testing, and using AI or ML technologies for cognitive analysis and process automation.
Familiar with AI and machine learning language tools like Python, R, and SQL.
Fluency in written and spoken English is required.

Preferred

Preference for specialization in AI and machine learning.
Familiarity with forensic fraud investigations and internal audits is a plus.
Fluency in French, Russian, Arabic, or Spanish is highly desirable.
Knowledge of additional United Nations official languages is an advantage.

Benefits

UNDP’s mission is an ambitious one: to lead the United Nations in its fight for a world without poverty, in which women are empowered, inequality is addressed and the planet is protected.

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