INTRODUCTION
UNICEF works in over 190 countries and territories to save children’s lives, defend their rights, and help them fulfill their potential, from early childhood through adolescence. At UNICEF, we are committed, passionate, and proud of what we do. Promoting the rights of every child is not just a job – it is a calling.
UNICEF Is Hiring A Data Scientist Intern In Türkiye 2025 Apply Online
UNICEF is a place where careers are built, we offer our staff diverse opportunities for personal and professional development that will help them develop a fulfilling career while delivering on a rewarding mission. We pride ourselves on a culture that helps staff thrive, coupled with an attractive compensation and benefits package.
Job no: 577562
Contract type: Internship
Duty Station: Istanbul
Level: Internship
Location: Türkey
Categories: Emergency
Main duties and responsibilities:
The intern, under the supervision of the Emergency Specialist (Risk Analysis), will be responsible for supporting the development and enhancement of artificial intelligence, machine learning (AI/ML) tools and data-scraping for automating data collection, analysis and visualization, aiding real-time risk analysis and decision-making processes.
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The main activities will include:
AI/ML Tools Development:
- Develop AI/ML scripts to automate the scraping and aggregation of unstructured data from websites, internal mailing lists and other relevant risk analysis sources.
- Aggregate the data captured in a database and display the information through a basic PowerBI dashboard, with limited filtering features (date, country, source, content), integrated with UNICEF’s geospatial dashboard, GeoSight, for seamless data visualization.
- Implement a notification system to flag unusual patterns, such as higher-than-average risk reporting on specific countries or regions. This automation would provide real-time insights into potential human-made hazards.
- Create visualizations, including charts, graphs and tables, to present findings effectively.
- Explore and test new AI/ML advancements and geospatial technologies relevant to risk analysis.
- Propose scalable solutions to broaden the scope of tools for additional risks or geographic areas.
Data Management and Integration:
- Research, identify and integrate additional data sources, including APIs, open data platforms and social media feeds, to enhance risk analysis coverage.
- Create workflows for cleaning, tagging and standardizing unstructured data for consistent and reliable analysis.
- Maintain a comprehensive database to store and manage aggregated data efficiently.
Statistical Analysis:
- Perform light statistical analysis on collected data using tools such as Excel, Python or R to identify trends, correlations and patterns.
- Explore predictive analytics and anomaly detection to forecast risks and identify emerging hazards.
Capacity Building and Documentation:
- Write detailed documentation for all tools, workflows and dashboards to ensure knowledge transfer and sustainability.
- Organize workshops or training sessions to familiarize the team with developed tools and dashboards.
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Benefits to Intern:
The intern would be able to:
- Gain hands-on experience in applying AI/ML techniques and data visualization tools (e.g., PowerBI, Python) to solve real-world challenges in risk analysis and emergency management.
- Enhance technical skills in data scraping, statistical analysis and dashboard development, along with soft skills like problem-solving and cross-functional collaboration.
Minimum Requirements: (Standard for ALL internship advertisement):
• Letter of verification from the college or university that the intern is currently enrolled in an undergraduate school and has completed at least two years of full-time studies at a university or equivalent institution towards the completion of an undergraduate degree (if the candidate is 18 years old, this replaces the two-year bachelor’s completion requirement); or, Graduate Degree Program (i.e., Master’s, PhD). It should also state the expected graduation date. Recent graduates are allowed until 2 years after degree completion.
• Copy of their most recent official transcript showing excellent academic performance
• Copy of Identification Card (ID)
• One letter of signed recommendation on letterhead or from professional email address .
Qualifications:
- Enrolled as a student (or recent graduate; see above) in a graduate degree programme in Data Science, Computer Science, Statistics, or other relevant subject.
- At least 1-year previous work experience in a relevant field.
- Strong proficiency in programming languages (e.g., Python, R, Web Scraping), data visualization tools (e.g., PowerBI) and AI/ML. \
All UNICEF positions are advertised, and only shortlisted candidates will be contacted and advance to the next stage of the selection process. An internal candidate performing at the level of the post in the relevant functional area, or an internal/external candidate in the corresponding Talent Group, may be selected, if suitable for the post, without assessment of other candidates.
Advertised: 03 Dec 2024 GTB Standard Time
Deadline: 16 Dec 2024 GTB Standard Time
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Additional information about working for UNICEF can be found here.
