Stages : PAM recrute un(e) Stagiaire en science des données, Bureau de l’audit interne basé à Rome, Italie.

 

 

 

 

 

 

BRIEF DESCRIPTION OF THE DIVISION:

As per its charter, internal auditing is an independent, objective assurance and consulting activity designed to add value and improve an organization’s operations.

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.

WFP’s main Enterprise Resource Planning is SAP-based. Other systems are also used by WFP to collect, process, use and report data in support of WFP’s mission objectives. The tools utilized in OIGA to support the analytics activities are mainly SQL-like databases, Python, R, and Tableau.

DUTIES AND RESPONSIBILITIES

Under the direct supervision of the Data Science Team Leader, and in coordination with the IT Audit Manager, the Data Science Intern will be responsible for the following key duties:

  • Liaising with audit teams to define and document audit information needs.
  • Support with the identification of data required for analysis from operational systems (e.g. SAP).
  • Support with the design and implementation of data pipelines.
  • Develop and implement scripts for data analysis purposes and automate data validation efforts.
  • Perform exploratory data analysis on specific sets of data, by means of traditional statistical analysis as well as state-of-the-art data science methodologies.
  • Design and implement data visualizations.

QUALIFICATIONS AND EXPERIENCE

  • Currently enrolled with at least two years undergraduate studies completed, or recently graduated (within six months prior to the application to the internship programme) in one of the following disciplines: Data Science, Computer Science, Computer Engineering, Information Management, Statistics, Mathematics, or a related field.
  • University course attendance in the past 12 months.

KNOWLEDGE & SKILLS:

  • Knowledge of data models, database design and development, ETL design and implementation, data mining.
  • Advanced programming skills with Python focused on ETL implementation and data analysis including knowledge of data science/machine learning libraries, such as pandas, numpy, scikit-learn, keras, tensorflow, pytorch, etc.
  • Adept at queries, report writing and presenting findings.
  • Knowledge of SAP, R, and Tableau are considered a plus.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate information with attention to detail.
  • Ability to understand key economic issues.
  • Comfortable in a rapidly changing environment, with competing and shifting priorities.
  • Strong communication skills.

Apply here

Apply before  : March 04th, 2023