WHO WE ARE
The United Nations World Food Programme is the world's largest humanitarian organization, saving lives in emergencies and using food assistance to build a pathway to peace, stability and prosperity for people recovering from conflict, disasters and the impact of climate change.
At WFP, people are at the heart of everything we do and the vision of the future WFP workforce is one of diverse, committed, skilled, and high performing teams, selected on merit, operating in a healthy and inclusive work environment, living WFP's values (Integrity, Collaboration, Commitment, Humanity, and Inclusion) and working with partners to save and change the lives of those WFP serves.
To learn more about WFP, visit our website: https://www.wfp.org/ and follow us on social media to keep up with our latest news: YouTube , LinkedIn , Instagram , Facebook , Twitter .
WHY JOIN US?
WFP is a 2020 Nobel Peace Prize Laureate%
WFP offers a highly inclusive, diverse and multiculturalworkingenvironment
WFP invests in the personal & professional development of its employees through a range of trainings, accreditation, coaching, mentorship and other programs as well as through internal mobility opportunities
A career path in WFP provides an exciting opportunity to work across various country, regional and global offices around the world, and with passionate colleagues who work tirelessly to ensure that effective humanitarian assistance reaches millions of people across the globe
We offer attractive compensation package (please refer to Terms and Conditions section)
ORGANIZATIONAL CONTEXT
The position is based in Rome and reports to the Data Science Team Leader. It is within the Office of Internal Audit (OIGA), under the Office of the Inspector General (OIG). OIGA provides WFP stakeholders with independent and objective assurance and advisory services designed to address the main risks to WFP operations and help WFP achieve its goals through improvements to the effectiveness of its governance, risk management, and controls. OIGA has its own Data Science team, whose mission is to support internal auditors.
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).
MORE ABOUT YOU
Advanced knowledge of Python
Advanced knowledge of Machine Learning algorithms & tools
Advanced knowledge of SQL
Knowledge of data visualization tools & strong visualization skills
Knowledge of databases & data modelling techniques
Experience designing & implementing ETL processes
Strong communication skills
Desirable: Experience analyzing data in support of oversight activities
WFP LEADERSHIP FRAMEWORK
These are the common standards of behaviour that guide HOW we work together to accomplish our mission.
Leads by Example with Integrity – Lives the WFP values and shows humanity and integrity by role modelling care for others
Drives Results and Delivers on Commitments – Delivers on commitments and adapts readily to change
Fosters Inclusive and Collaborative Teamwork – Is inclusive and collaborative, and contributes to a culture of learning and personal growth
Applies Strategic Thinking – Demonstrates commitment to gather perspectives, analyse options and risks, and propose new ways of doing things
Builds and Maintains Sustainable Partnerships – Builds and nurtures external partnerships and collaborates with partners to deliver common objectives
Different expectations of behaviour are defined depending on your grade and role/responsibilities within WFP.
TERMS AND CONDITIONS
This is an International Professional position and is open to all nationalities .
Mobility is and continues to be a core contractual requirement in WFP. This position is however classified as "non-rotational" which means the incumbent shall not be subject to the regular reassignment process unless the position is reclassified as rotational. The selected candidate will be employed on a fixed-term contract with a probationary period of one year. This position is open to both internal and external candidates.
WFP offers an attractive compensation and benefits package in line with ICSC standards (http://icsc.un.org) including basic salary, post adjustment, relocation entitlement, visa, travel and shipment allowances, 30 days' annual leave, home leave, an education grant for dependent children, a pension plan, and medical insurance.
The selected candidate will be required to relocate to Rome, Italy to take up this assignment.
REMINDERS BEFORE YOU SUBMIT YOUR APPLICATION
We strongly recommend that your profile is accurate, complete and includes your employment records, academic qualifications, language skills and UN Grade (if applicable)
Once your profile is completed, please apply, and submit your application
Please make sure you upload your professional CV in the English language
Kindly note the only documents you will need to submit at this time are your CV and Cover Letter
Additional documents such as passport, recommendation letters, academic certificates, etc. may potentially be requested at a future time
Please contact us at ****** in case you face any challenges with submitting your application
Only shortlisted candidates will be notified
Interested applicants can apply via this link .
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