About STOOS Consulting
STOOS CONSULTING is an international consulting firm specialized in third-party monitoring (TPM), research, assessments, and evaluation, with a strong focus on capacity building and economic empowerment programmes. Established in 2019, STOOS operates across Africa, the Middle East, and Europe, delivering over 200 assignments for international NGOs, UN agencies, and development partners.
The firm supports partners in designing and implementing evidence-based, data-driven programmes in complex and fragile environments, with expertise spanning livelihoods, governance, protection, education, and market systems development. STOOS combines global technical expertise with strong field presence, enabling high-quality delivery, contextual understanding, and operational agility across diverse settings.
Introduction
STOOS CONSULTING is expanding its global expert roster and invites applications from highly qualified Artificial Intelligence (AI) specialists, data scientists, and digital innovation experts to support programmes across humanitarian and development contexts worldwide.
As organizations increasingly adopt data-driven and technology-enabled approaches, there is a growing need for AI-powered solutions that enhance programme effectiveness, improve targeting, strengthen accountability, and support scalable and sustainable impact across fragile and development settings.
Comprehensive Thematic Areas of Expertise
1. Artificial Intelligence for Development (AI4D)
• Design and deployment of AI solutions across humanitarian and development sectors
• Predictive analytics for early warning, crisis response, and programme planning
• AI-driven decision-support systems for operational optimization
2. Data Science & Advanced Analytics
• Machine learning, statistical modeling, and big data analytics
• Data visualization, dashboards, and decision-support tools
• Integration of multi-source datasets including surveys, administrative, and geospatial data
3. Digital Transformation & Innovation
• Digital transformation strategies for NGOs, governments, and institutions
• Automation and digitalization of programme systems and workflows
• Development of scalable digital platforms and innovation ecosystems
4. AI in Livelihoods & Economic Empowerment
• AI-enabled labor market systems and job matching platforms
• Digital tools supporting MSMEs, entrepreneurship, and financial inclusion
• Market analytics and forecasting for value chain development
5. Natural Language Processing (NLP) & AI Communication Tools
• Chatbots and automated systems for community engagement and feedback
• Sentiment analysis and Accountability to Affected Populations (AAP) tools
• AI solutions supporting multilingual communication and outreach
6. Computer Vision & Geospatial AI
• Remote sensing, satellite data analysis, and GIS-based AI applications
• Image recognition for infrastructure monitoring, agriculture, and environment
• Climate and disaster monitoring systems
7. Responsible AI, Ethics & Safeguarding
• Development of ethical AI frameworks and governance systems
• Data protection, privacy, and bias mitigation
• Safeguarding and inclusive AI design in vulnerable contexts
8. Digital Skills & Capacity Building
• Design and delivery of AI and digital skills training programmes
• Institutional capacity building on data-driven decision making
• Development of training curricula and learning tools
Core Responsibilities
Selected experts may be engaged to:
• Design, develop, and implement AI-driven and digital solutions tailored to programme needs
• Conduct data analysis, modeling, and system development to inform decision-making
• Develop tools, platforms, and innovation pilots across sectors
• Provide technical advisory and capacity building to partners and stakeholders
• Integrate AI and digital innovation into existing humanitarian and development programmes
• Ensure compliance with ethical standards, safeguarding, and data protection principles
• Contribute to research, learning, and evidence generation
Required Qualifications
• Degree in Artificial Intelligence, Data Science, Computer Science, Engineering, or related fields
• Minimum 5–7 years of professional experience in AI, data science, or digital innovation
• Proven experience in developing or applying AI solutions in operational contexts
• Strong programming and analytical skills (e.g., Python, R, machine learning frameworks)
• Experience working with international NGOs, UN agencies, or donor-funded programmes is an advantage
Desired Profile
• Experience working in humanitarian, fragile, or development contexts
• Ability to translate technical concepts into practical, field-oriented solutions
• Strong facilitation, communication, and stakeholder engagement skills
• Commitment to ethical AI, inclusion, and responsible innovation
How to apply
Please submit your application through the following link:
https://forms.gle/z89btu49AcW6fbY88