Data Scientist P3

WFP - World Food Programme

Rome, Italy

THE ROLE

The Data Scientist primarily designs and develops Data Science products with the overarching goal of assisting internal auditors, and may be occasionally involved in internal audits when complex data analyses are required. The Data Scientist gathers data-driven insights, which directly improve audit assignments to assess the soundness, adequacy and application of internal management and financial controls.

KEY ACCOUNTABILITIES (not all-inclusive)

Explores, identifies, and acquires data sources to determine their suitability for risk assessments, audits, and investigations. Enables broader use of data sources by applying quality methods to structure, clean, format, parse, and standardize for analytical use;
Establishes a close working relationship with members of the OIGA team and key clients to leverage Data Science methods to support their assurance activities with solutions that assist them in accomplishing their mandates;
Designs and develops Data Science products to reveal insights and provide an understanding or knowledge of the data that would otherwise not be detected without the application of advanced analytical methods such as Artificial Intelligence, Machine Learning, predictive analytics, data/text mining, Natural Language Processing, statistics, and the use of relevant algorithms and computational approaches;
Promotes the use of Data Science solutions, for instance by organizing ad-hoc trainings to teach OIGA auditors how to best use visualizations developed within the team;
Designs and develops custom visualizations and presentations to reveal the findings of analysis for clients, suitable for all forms of production (including briefings, reports, documentation to OIGA, interactive interfaces, and publication of quality outputs);
At the request of OIGA management and in coordination with the Data Science Team Leader, participates in internal audits and investigations, assisting and performing tasks under the supervision of auditors and investigators, producing findings and reports within the stipulated timeline and quality requirements;
Guides, trains, and supervises more junior staff with function.

QUALIFICATIONS & KEY REQUIREMENTS

Education:

Advanced University degree (Master's degree or equivalent) in Data Science, Engineering, Computer Science, Statistics, Mathematics, Physics, Astrophysics, or a related field.

Experience:

5 years of relevant, progressively responsible experience in Data Science and/or Data Engineering.

Language:

Fluency (level C) in English language;
Intermediate knowledge (level B) of a second official UN language: Arabic, Chinese, French, Russian, Spanish, and/or Portuguese (a WFP working language).