WFP celebrates and embraces diversity. It is committed to the principle of equal employment opportunity for all its employees and encourages qualified candidates to apply irrespective of race, colour, national origin, ethnic or social background, genetic information, gender, gender identity and/or expression, sexual orientation, religion or belief, HIV status, physical or mental disability. Internship Data Science Office of Internal Audit HQ Rome, Italy The World Food Programme (WFP) is the leading humanitarian organization saving lives and changing lives, delivering food assistance in emergencies and working with communities to improve nutrition and build resilience. We are currently seeking to fill an intern position in the Office of Internal Audit, based in Rome, Italy. BRIEF DESCRIPTION OF THE DIVISION The Office of Internal Audit (OIGA) helps WFP accomplish its objectives by bringing a systematic, disciplined approach to evaluate and improve the effectiveness of governance, risk management, and control processes. The scope of internal auditing encompasses, but is not limited to, assessing the effectiveness, adequacy and application of WFPs governance, risk management, and control processes as well as the quality of performance with respect to the achievement of WFPs stated goals and objectives. In delivering on its mandate, OIGA is committed to take full advantage of data available in WFP for efficient audit, accompany WFPs digital agenda, and support strengthening data quality, and protection and privacy. It has therefore established a team of Data Scientists, with the objective to develop its Data Analytics tools and applications, and to fully support audit work and embed Data Analytics in OIGAs methodology and processes. Work is undertaken in close collaboration with the IT Division, functional units, and its data road map. The main tools used in OIGA to support the Data Analytics activities are: Python and R SQL-like databases Tableau GENERAL INFORMATION Title of Post: Internship Data Science Supervisor: Data Science Team Leader Unit: Office of Internal Audit (OIGA) Country: Italy Duty Station: Headquarters, Rome (in-person internship) Duration of internship: 4 8 months Expected Start Date: Q1 DUTIES AND RESPONSIBILITIES The intern will be responsible for the following key duties: Collaborate with audit teams to understand the information needed. Help with the identification of data required for analysis from various WFP data sources. Help with the design and implementation of data pipelines (ETL), using SQL Help with the design and implementation of data analysis scripts, using Python and/or R. Help with the design and implementation of data visualizations, using Python and/or Tableau. Perform exploratory data analysis on new sets of data. QUALIFICATIONS AND EXPERIENCE Currently enrolled in an undergraduate programme (with at least two years of study) or in a graduate programme from a recognized university OR recently graduated from an undergraduate or graduate programme (within six months prior to the application to the internship programme) from a recognized university; University course attendance in the past 12 months. KNOWLEDGE & SKILLS Knowledge of Python and/or R. Knowledge of SQL, or of other databases (e.g. MongoDB). Knowledge of data visualization techniques and tools (e.g. matplotlib, ggplot, Tableau) Desirable: Knowledge of Machine Learning algorithms and tools. WORKING LANGUAGES Excellent written and spoken English is required (proficiency/level C). SUPERVISION Under the direct supervision of the Data Science Team Leader, the intern will be provided with close mentoring, guidance, and technical supervision. Other members of the Data Science team will also be involved in helping, guiding, and mentoring the intern. Performance planning and reviews, as well as learning and development discussions, will be carried out throughout the internship. TRAINING COMPONENTS Throughout their assignment, WFP interns have access to an industry leading learning platform, WeLearn. Depending on opportunities and availability of funds, he/she may participate in WFP workshops or seminars, as appropriate. LEARNING ELEMENTS At the end of the assignment, the Intern should: Understand WFPs goals, and how WFP operates to fight hunger. Understand how auditors can leverage Data Analytics to provide assurance on processes and operations. Be able to develop indicators for risk identification and detection of anomalies. Be able to communicate their results. OTHER RELEVANT INFORMATION VA Reference no: Closing Date: 19 September at 11:59pm Rome time