Junior Data Scientist

Support the implementation of AI use cases through model design and evaluation.

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WFP - World Food Programme

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Application deadline 10 months ago: Thursday 7 Aug 2025 at 00:00 UTC

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Overview

Support the implementation of AI use cases through model design and evaluation.

You have:

  • Proficiency in programming languages such as Python or R.
  • Solid understanding of statistics, hypothesis testing, regression analysis, and statistical modelling techniques.
  • Solid understanding of machine learning algorithms and techniques such as supervised and unsupervised learning.
  • Excellent oral and written skills; excellent drafting, formulation, reporting skills.
  • Excellent interpersonal skills; culturally and socially sensitive ability to work inclusively and collaboratively.
  • Ability to work effectively in a challenging environment and in a multicultural team.
  • Self-motivated; ability to work on MVPs in an agile environment.
  • Affinity with or interest in leveraging AI in humanitarian domain volunteerism.

Contract

This is a UNV National Youth contract. This kind of contract is known as National UN Volunteer. It is normally only for nationals. More about UNV National Youth contracts.

Assisting more than 115.5 million people in 120 + countries each year, the World Food Program (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. As the international community has committed to end hunger, achieve food security and improved nutrition by 2030, one in nine people worldwide still do not have enough to eat. Food and food-related assistance lie at the heart of the struggle to break the cycle of hunger and poverty. WFP’s Regional office for the Middle East and Northern Africa (MENAEERO), based in Cairo, Egypt, provides strategic guidance, policy/technical support, and direction to WFP operations and activities in 16 countries: Algeria, Armenia, Egypt, Iran, Iraq, Jordan, Lebanon, Libya, Moldova, Morocco, State of Palestine, Syria, Tunisia, Turkey, Ukraine and Yemen. These country offices aim to assist roughly one-third of all of WFP’s beneficiaries (approx. 30 million) in some of the most critical humanitarian emergencies of our time. The regional office is also active in the ‘Changing Lives’ side of WFP’s mandate, helping national governments and local communities improve nutrition, livelihoods, school feeding, social protection, climate and disaster risk reduction, and other programs that build resilience and support development”. This assignment is part of WFP Global AI initiatives. Thess initiatives aim to use AI to tackle the organization’s most pressing needs in coordination with HQ. This assignment is to support in the implementation of the AI use cases by designing, evaluating, benchmarking, and supervising the fine-tuning of various AI models.

Reporting to the Lead data scientist in the Data/AI team, the junior data scientist will provide support to provision the following tasks in support of the global AI initiatives:

  1. Identify state of the art AI models that fits the use cases at hand.
  2. Train/retrain AI models with relevant annotated datasets.
  3. Model Evaluation and Optimization: Assess model performance, identify areas of improvement, and fine-tune hyperparameters to optimize the models. Use techniques like grid search or Bayesian optimization for parameter tuning. Exploratory Data Analysis (EDA): Perform EDA to gain insights into the data, identify patterns, correlations, and outliers. Use visualizations and statistical techniques to summarize and present the findings.
  4. Feature Engineering: Create new features from existing data that can improve the performance of machine learning models. This includes feature extraction, transformation, and selection.
  5. Natural Language Processing (NLP): Work on tasks related to text data, such as sentiment analysis, text classification, or named entity recognition. Utilize NLP libraries like NLTK, SpaCy, or Transformers.
  6. Collaboration and Documentation: Collaborate with team members, document your work, and maintain a clear and organized record of your analysis, code, and results. Contribute to the organization's knowledge base or data science repository.
  7. Other tasks as required.

• Accountability • Adaptability and flexibility • Creativity • Judgement and decision-making • Planning and organising • Professionalism • Self-management

• Proficiency in programming languages such as Python or R is crucial for a data scientist. • Solid understanding of statistics is essential. The candidate should be familiar with concepts such as hypothesis testing, regression analysis, probability distributions, and statistical modelling techniques. • Solid understanding of machine learning algorithms and techniques such as supervised and unsupervised learning, feature engineering, model evaluation, and model selection. • Excellent oral and written skills; excellent drafting, formulation, reporting skills. • Excellent interpersonal skills; culturally and socially sensitive; ability to work inclusively and collaboratively with a range of partners, including grassroots community members, religious and youth organizations, and authorities at different levels; familiarity with tools and approaches of communications for development. • Ability to work and adapt professionally and effectively in a challenging environment; ability to work effectively in a multicultural team of international and national personnel. • Self-motivated, ability to work on MVPs in an agile environment; ability to work with tight deadlines. • Sound security awareness. • Have affinity with or interest in leveraging AI in humanitarian domain volunteerism as an enabler for durable development, and the UN System.

Cairo, Egypt is a family duty station with a wide range of services (health, education and leisure) and good living conditions. Cairo (and Egypt) has long been a center of the region’s political and cultural life, with high levels of tourism. Like other similar cities, Cairo offers good quality of life in terms of access to shopping centres, banks, medical services, educational facilities, cultural events, etc.

The Arab Republic of Egypt has a unique geographical position in Northeast Africa, at the crossroads of Europe and Asia, on the Mediterranean and Red Sea, and its connection to Sub Saharan Africa through the Nile Valley. The country is defined by desert and the Nile, the longest river on Earth.

Youth UN Volunteer gets the following package: • Volunteer Living Allowance (around EGP 49,400/Month) • Entry Lump-Sum = USD 400 (one-time payment paid in EGP) • Exit Lump-Sum upon completion of contract. • Medical and life Insurance premium/Cigna (100%) and dependents policy. • Access to UNV E-Campus for training and learning including access to LinkedIn learning.

Further entitlements and information available at: https://www.unv.org/volunteer-your-country-conditions-service

Potential interview questions

Describe a time when you had to implement a machine learning model from start to finish. This evaluates your understanding of the end-to-end process of machine learning projects. Detail your approach, tools used, and the outcome.
How do you handle large datasets in your analysis? The interviewer wants to know your experience with data handling techniques. Pro members can see the explanation.
Can you provide examples of natural language processing techniques you have used? Pro members can see the explanation. Pro members can see the explanation.
What strategies do you employ to optimize machine learning models? Pro members can see the explanation. Pro members can see the explanation.
Tell me about a challenging project you worked on in a multicultural team. Pro members can see the explanation. Pro members can see the explanation.
Describe a situation where you had to use statistical methods to interpret data. Pro members can see the explanation. Pro members can see the explanation.
What is your approach to exploratory data analysis? Pro members can see the explanation. Pro members can see the explanation.
Explain how you keep your coding and analytical work documented and organized. Pro members can see the explanation. Pro members can see the explanation.
Added 10 months ago - Updated 10 months ago - Source: unv.org