**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**