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