Data and AI Analyst (Combating Drug Trafficking and Organized Crime)

Analyze data and develop AI models to combat organized crime in Peru.

This opening expired 6 months ago. Do not try to apply for this job.

UNODC - United Nations Office on Drugs and Crime

Open positions at UNODC

Lima (Peru)

Volunteering Engineering Finance & Economy IT & Telecom

Application deadline 6 months ago: Wednesday 26 Nov 2025 at 00:00 UTC

Open application form

Overview

Analyze data and develop AI models to combat organized crime in Peru.

You have:

3 years in data science projects, applying machine learning models to solve complex problems.
Knowledge of statistics and predictive models.
Technical expertise in Python programming (including libraries such as Pandas, Scikit-learn, and TensorFlow).
Technical expertise in SQL databases.
Experience in using visualization tools such as Power BI.
Solid experience in applying machine learning models, network analysis, and natural language processing.
Strong analytical thinking to solve complex problems.
Effective communication to translate technical findings for non-specialist audiences.
High capacity for collaborative work.
Strong sense of ethics when handling sensitive information.

Contract

This is a UNV International Specialist contract. This kind of contract is known as International UN Volunteer. It is normally internationally recruited only. More about UNV International Specialist contracts.

Daily Job Alerts: Stay Updated, Stay Ahead with Pro Membership

UN Talent Pro

Details

Apply now

Potential interview questions

Can you describe a complex data science project you've worked on?	To understand the candidate's hands-on experience and depth of knowledge in data science.	Detail the project, your role, the skills applied, and the outcome.
How do you ensure data integrity and quality in your projects?	This assesses the candidate's awareness of data management best practices.	Pro members can see the explanation.
What machine learning models have you developed and implemented?	Pro members can see the explanation.	Pro members can see the explanation.
How do you translate technical findings for a non-technical audience?	Pro members can see the explanation.	Pro members can see the explanation.
Can you give an example of how you fostered collaborative work in a previous project?	Pro members can see the explanation.	Pro members can see the explanation.
What experience do you have with natural language processing?	Pro members can see the explanation.	Pro members can see the explanation.
How do you stay updated with advancements in data science and AI?	Pro members can see the explanation.	Pro members can see the explanation.
What ethical considerations do you take into account when working with data?	Pro members can see the explanation.	Pro members can see the explanation.