UNFPA's Office of Audit and Investigation Services (OAIS) aims to enhance the use of modern analytics technologies in its oversight activities, including data engineering and data science, to improve operations, risk management, and results.
Requirements
- Knowledge of data models, database design and development, ETL design and implementation, data mining.
- Advanced programming skills with Python focused on data engineering, data analysis, and machine learning.
- Familiarity with statistical methods such as regression, distribution properties, and hypothesis testing.
- Experience with Microsoft Power BI is highly desirable.
- Support the development of LLM-based solutions to facilitate AI integration in oversight activities.
Responsibilities
- Collaborate with audit teams to define and document data requirements.
- Support the identification and extraction of data from operational systems (e.g., Oracle ERP).
- Assist in the design and implementation of data pipelines and ETL processes.
- Develop scripts for data analysis and automate data validation routines.
- Conduct exploratory data analysis and statistical hypothesis testing.
- Design and implement interactive dashboards and visualizations.
- Study, design, and implement machine learning models for risk assessment and anomaly detection.
Other
- Be enrolled in a postgraduate degree programme (such as master’s programme or higher) in Data Science, Computer Science, Computer Engineering, Information Management, Statistics, Mathematics, or a related field; OR Be enrolled in the final academic year of a first university degree programme (minimum Bachelor’s level or equivalent) in Data Science, Computer Science, Computer Engineering, Information Management, Statistics, Mathematics, or a related field; or Have graduated with a university degree in Data Science, Computer Science, Computer Engineering, Information Management, Statistics, Mathematics, or a related field and, if selected, must start the internship within one-year of graduation.
- Fluency in English required, with proven ability to express well verbally and in writing.
- Good knowledge of one of the other UN official languages (French, Arabic, Chinese, Spanish or Russian), is desirable but not a requirement.
- Demonstrates integ
