Internship in Data Management and AI-Driven Data Analytics

Job Posting Organization:
UNICEF, established in 1946, is a United Nations agency that works in over 190 countries and territories to protect the rights of children and ensure their well-being. The organization focuses on providing assistance in areas such as education, health, and protection, particularly in the most disadvantaged regions. UNICEF's mission is to reach every child, everywhere, every day, and to build a better world for all. With a workforce that spans across various continents, UNICEF employs thousands of staff members dedicated to improving the lives of children globally. The organization is committed to innovation and partnerships that drive impactful results in education and other critical areas.

Job Overview:
The internship-position" style="border-bottom: 1px dotted #007bff !important;">internship position focuses on data management and AI-driven data analytics within the Education Outcomes Fund (EOF), a UNICEF initiative aimed at improving education and employment outcomes for children and youth. The intern will play a crucial role in onboarding and structuring datasets into the Azure platform, enhancing decision-making and operational efficiency. The position involves establishing feedback loops with the EOF team, managing data permissions, and utilizing tools like Jira and Confluence for workflow tracking. Additionally, the intern will engage in data cleaning and analysis using Python, support machine learning model deployment, and develop AI tools to streamline design" style="border-bottom: 1px dotted #007bff !important;">program design processes. The role also includes generating insights for decision-making and optimizing resource allocation, making it a vital part of EOF's mission to address learning poverty and youth unemployment.

Duties and Responsibilities:

• Lead the onboarding and structuring of datasets into the Azure platform to centralize data for improved decision-making.
• Establish and maintain two-way feedback loops with the EOF team to support ongoing dataset development and refinement.
• Manage permissions and data systems to ensure secure and consistent access to data.
• Utilize Atlassian tools (Jira, Confluence) to track onboarding workflows and document processes, minimizing duplication and preserving institutional knowledge.
• Perform data cleaning and analysis using Python, supporting advanced analytics and machine learning model deployment within Azure and Databricks environments.
• Help develop AI tools, including chatbots, to accelerate analysis of cost data and streamline program design processes.
• Generate projections on program impact and returns on investment, leveraging EOF, UNICEF, and published datasets.
• Provide actionable insights to inform decision-making and optimize resource allocation.
• Develop and refine data visualizations and dashboards in collaboration with EOF and external partners to enhance data accessibility and public engagement. 1
• Use Power BI to monitor platform utilization and user activity. 1
• Facilitate academic and external collaborations through management of a modeling and dataset request portal.

Required Qualifications:

• Enrolled in a degree program in an undergraduate or graduate school, or a recent graduate (within the last 2 years).
• Excellent academic performance as demonstrated by recent university or institution records.
• At least 18 years old.
• Fluency in English is required.
• No immediate relatives (e.g., father, mother, brother, sister) working in any UNICEF office; and have no other relatives in the line of authority that the intern will report to.
• A degree in a relevant subject, such as data science, analytics, statistics, economics, applied mathematics, finance, or a related field is preferred.
• Experience or an interest in international development, the global education sector, and international aid is desirable.
• Proven interest in data science through projects or working experience will be an added advantage.

Educational Background:
Candidates must be enrolled in or have recently graduated from a degree program relevant to data management, analytics, or a related field. A strong academic record is essential, and preference will be given to those with degrees in data science, statistics, economics, applied mathematics, or finance.

Experience:
The position requires candidates to have some level of experience or interest in data science, international development, or the global education sector. Relevant projects or work experience in these areas will be considered favorably, although specific years of experience are not mandated.

Languages:
Fluency in English is mandatory for this position. Additional language skills may be beneficial but are not specified as requirements.

Additional Notes:
The internship is expected to start in September or October 2025 and will run for six months. Candidates must commit to a full-time internship for the entire duration. The internship offers remote and hybrid working options, but candidates must be available during a significant portion of UK working hours. A monthly stipend will be provided based on the candidate's location, with specific amounts outlined for various duty stations. The application process includes a written test and two rounds of interviews, and only shortlisted candidates will be contacted. UNICEF has a zero-tolerance policy on misconduct and is committed to safeguarding children, requiring background checks and verification of credentials.