Associate PSP Officer (AI Developer)

Enhance analytical capabilities of the Global Analyst Team through AI-driven solutions.

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UNHCR - UN High Commissioner for Refugees

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Overview

Enhance analytical capabilities of the Global Analyst Team through AI-driven solutions.

You have:

  • Bachelor’s degree in mathematics, statistics, computer science, business administration, or other relevant fields.
  • Minimum of 3 years of relevant work experience (2 years for holders of a master’s degree).
  • Experience utilizing cloud-based AI/ML services (e.g., Azure Machine Learning, Vertex AI) and related tools for model development, training, and deployment.
  • Proficiency in programming languages such as Python.
  • Fluency in English, both verbal and written (required).
  • Strong understanding of Azure or GCP cloud services including experience deploying and managing ML infrastructure, containerization, and orchestration.
  • Excellent communication and collaboration skills.
  • Ability to multi-task, prioritize and manage time effectively.

Deadline for Applications

April 5, 2026Hardship Level (not applicable for home-based)

H (no hardship)Family Type (not applicable for home-based)

FamilyStaff Member / Affiliate Type

UNOPS LICA9Target Start Date

2026-06-01Terms of Reference

  1. General Background

UNHCR is a global organization committed to saving lives, protecting rights, and creating a brighter future for refugees, forcibly displaced communities, and stateless individuals. We provide essential assistance such as shelter, food, and water, and develop solutions to ensure people have a safe place to call home where they can build a better future. Each year, millions of men, women, and children are forced to flee their homes due to conflict and persecution. Operating in over 125 countries, we leverage our expertise to protect and care for millions.

The Global Analyst team is responsible for analyzing fundraising activities, setting targets, and reporting on the performance of the fundraising network. As a member of the Global Analyst Team, the incumbent will support the expansion of analysis and insight capabilities.

  1. Purpose and Scope of Assignment

The Associate PSP Officer (AI Developer) will play a pivotal role in enhancing the analytical capabilities of the Global Analyst Team within the Private Sector Partnerships Service (PSP). This position is dedicated to developing and implementing AI-driven solutions to optimize fundraising strategies, improve datadriven decision-making, and support the overall mission of UNHCR in protecting and assisting refugees, forcibly displaced communities, and stateless individuals.

Under the overall supervision of the PSP Business Analyst Officer and the Assistant PSP Officer, the incumbent will assist in the following:

• Design, develop, and deploy AI models to analyze fundraising data and predict trends.

• Implement machine learning algorithms to enhance the accuracy and efficiency of fundraising activities.

• Collaborate with data scientists and analysts to integrate AI solutions into existing workflows and utilize AI tools to extract actionable insights from large datasets.

• Provide detailed reports and visualizations to support strategic decision-making.

• Continuously monitor and refine AI models to ensure optimal performance.

• Work closely with the Global Analyst Team to understand their analytical needs and challenges.

• Provide technical support and training to team members on AI tools and methodologies.

• Collaborate with other PSP teams to align AI initiatives with broader organizational goals.

• Stay updated on the latest advancements in AI and machine learning technologies.

• Propose and implement innovative solutions to improve fundraising efficiency and effectiveness.

  1. Qualifications and Experience

A. Education

The ideal candidate holds a Bachelor’s degree in mathematics, statistics, computer science, business administration, or other relevant fields.

B. Work Experience

• Minimum of 3 years of relevant work experience (2 years for holders of a master’s degree).

• Experience utilizing cloud-based AI/ML services (e.g., Azure Machine Learning, Vertex AI) and related tools for model development, training, and deployment.

• Experience building and deploying AI applications, including integrating ML models into larger systems and working with APIs.

• Strong understanding of Azure or GCP cloud services, including experience deploying and managing ML infrastructure, containerization, and orchestration. Proficiency in scripting and automation is required.

C. Key Competencies

  1. Essential Technical and Cross-Functional competencies

• Proficiency in programming languages such as Python.

• Hands-on experience with either Azure (Fabric, Azure Machine Learning, Azure Cognitive Services, Azure Data Factory) or GCP (Vertex AI, Cloud AI Platform, Dataflow).

• Experience with cloud-based data storage and processing services (e.g., Azure Blob Storage, Google Cloud Storage).

• Familiarity with MLOps principles and tools (e.g., MLflow, Kubeflow).

• Experience with containerization technologies is a plus.

  1. Others

• Excellent communication and collaboration skills.

• Strong problem-solving and analytical abilities.

• A flexible and outgoing team player with a service-oriented attitude

• Excellent attention to detail

• Good communication skills (written, verbal, presentation and interpersonal) in English

• Ability to multi-task, prioritize and manage time effectively

• Strong interpersonal skills and the ability to establish and maintain effective working relationships.

• Determination to meet deadlines.

• Ability to work with others and to be a team player.

  1. Languages

• Fluency in English, both verbal and written (required)

  1. Location and Conditions

This is a remote-working position. The successful candidate will be home-based, and work with colleagues globally.

This vacancy is open for applicants residing in Denmark as well as for those residents of other countries. The remuneration level and the applicable entitlements and benefits may be different based on the residence of the most suitable selected candidate.

This position is initially up to the end of the year with possibility of extension subject to budget availability and overall performance of the incumbent. It is a full-time role starting from 8.30am to 5pm Monday to Friday (40 hours per week).

The remuneration level and the applicable entitlements and benefits may be different based on the residence of the most suitable selected candidate.

Please note that only shortlisted candidates will be notified.Standard Job Description

Required Languages

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Desired Languages

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Additional Qualifications

Skills

Education

Certifications

Work Experience

Other information

This position doesn't require a functional clearance Remote

Yes

Potential interview questions

Can you describe a successful AI project you have worked on? This question assesses your practical experience with AI projects and their outcomes. Discuss the project objectives, your role, technical challenges, and the impact of the results.
How do you ensure the accuracy of your AI models? The interviewer wants to understand your approach to model validation and checking accuracy. Pro members can see the explanation.
Describe a time you collaborated with team members to solve a problem. Pro members can see the explanation. Pro members can see the explanation.
What strategies do you use to stay current with AI and machine learning advancements? Pro members can see the explanation. Pro members can see the explanation.
How would you handle a disagreement with a team member about the direction of a project? Pro members can see the explanation. Pro members can see the explanation.
What tools do you use for data visualization, and why do you prefer them? Pro members can see the explanation. Pro members can see the explanation.
Can you give an example of how you've used data to make a strategic decision? Pro members can see the explanation. Pro members can see the explanation.
What challenges do you think organizations face when adopting AI solutions? Pro members can see the explanation. Pro members can see the explanation.
Added 4 months ago - Updated 3 months ago - Source: unhcr.org