Internship - Data Science Office of Internal Audit HQ Rome, Italy

  • Added Date: Monday, 04 September 2023
  • Deadline Date: Wednesday, 20 September 2023
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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 WFP’s governance, risk management, and control processes as well as the quality of performance with respect to the achievement of WFP’s 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 WFP’s 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 OIGA’s 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

📚 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝗛𝗼𝘄 𝘁𝗼 𝗚𝗲𝘁 𝗮 𝗝𝗼𝗯 𝗶𝗻 𝘁𝗵𝗲 𝗨𝗡 𝗶𝗻 𝟮𝟬𝟮𝟯! 🌍🤝 𝗥𝗲𝗮𝗱 𝗼𝘂𝗿 𝗡𝗘𝗪 𝗥𝗲𝗰𝗿𝘂𝗶𝘁𝗺𝗲𝗻𝘁 𝗚𝘂𝗶𝗱𝗲 𝘁𝗼 𝘁𝗵𝗲 𝗨𝗡 𝟮𝟬𝟮𝟯 𝘄𝗶𝘁𝗵 𝘁𝗲𝘀𝘁 𝘀𝗮𝗺𝗽𝗹𝗲𝘀 𝗳𝗼𝗿 𝗨𝗡𝗛𝗖𝗥, 𝗪𝗙𝗣, 𝗨𝗡𝗜𝗖𝗘𝗙, 𝗨𝗡𝗗𝗦𝗦, 𝗨𝗡𝗙𝗣𝗔, 𝗜𝗢𝗠 𝗮𝗻𝗱 𝗼𝘁𝗵𝗲𝗿𝘀! 🌐

⚠️ 𝐂𝐡𝐚𝐧𝐠𝐞 𝐘𝐨𝐮𝐫 𝐋𝐢𝐟𝐞 𝐍𝐨𝐰: 𝐏𝐨𝐰𝐞𝐫𝐟𝐮𝐥 𝐓𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞𝐬 𝐡𝐨𝐰 𝐭𝐨 𝐠𝐞𝐭 𝐚 𝐣𝐨𝐛 𝐢𝐧 𝐭𝐡𝐞 𝐔𝐧𝐢𝐭𝐞𝐝 𝐍𝐚𝐭𝐢𝐨𝐧𝐬 𝐍𝐎𝐖!

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 2024

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

This vacancy is archived.

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