Job Opening

Posting Title: Artificial Intelligence and Machine Learning Junior Expert
Department/Office: Economic and Social Commission for Western Asia
Duty Station: BEIRUT
Posting Period: 17 February 2023 - 23 February 2023
Job Opening Number: 23-Economic and Social Commission for Western Asia-202340-Individual Contractor
Staffing Exercise N/A
United Nations Core Values: Integrity, Professionalism, Respect for Diversity
Sorry, this job opening is no longer available.

Result of Service

The objective of this consultancy is to contribute to the development of the Job Monitor software tool to enhance economic and social analysis of job markets in the Arab region. The preliminary description of this tool is mentioned in Annex. handle the data scraping and the user interface.

The desired tool will feature the following functionalities:
1. Scraping static online data
2. Disaggregate the jobs of the future into sectors, subsectors, regions, years of experience, salary,
occupation, primary skills, secondary skills over time. This can be presented as a dynamic feature for
end users.
3. Dynamic Disaggregate traditional jobs in the same manner as point 1.
4. Monitor the change of traditional skills and see how skills are changing for the same job due to
automation/ technology. In other words, check the evolution of the skill sets of a given job.
5. Forecast the growth of certain skills, jobs, sectors, career paths and regions overtime. Under the
trend analysis tab, a forecast option could be included.
6. Provide evidence of the skills mismatch between demanded jobs and school attainments.
7. Comparative analysis between nations/subnational regional/sub regional, etc.
8. Possibility of adding new data sources.
9. Operate seamlessly with continuously updated live data.
10. Provide reports and export data according to job classification categories.

Work Location


Expected duration

6 Months

Duties and Responsibilities

The world is currently experiencing the Fourth Industrial Revolution. With this transition, the velocity of change and the sheer number of innovations are unprecedented. This revolution will inevitably eliminate many current lines of work yet has the capacity to bring in new lines of employment. The agility of this revolution makes the jobs of the future difficult to predict using traditional techniques. Given this background, this project will tackle three main issues:

- The lack of timely information to monitor the dynamism of the labor market needs;
- The mismatch between human capital accumulation and labor market demand;
- Labor market policies and regulations are mostly outdated and unprepared for the impact of automation on jobs in most ESCWA countries.

Almost all countries in the region are still heavily reliant on costly household/establishment survey data which is not carried out periodically. To assess job market policies, skill sets for newly created job categories that are and will continue to come about from the Fourth Industrial Revolution must be surveyed in a more innovative way. Without a new monitoring technique, information on the impact of technological change on available skill sets cannot be properly assessed. One finding that we can build on conventional survey (household establishment) results is that workers with higher educational attainment are expected to benefit the most from jobs in the formal sector if high-quality education is made available and better job market matching schemes are put in place. Looking at the ESCWA region, educational attainment over the past three decades, during which the region excelled in primary and secondary education (mid skills), suggests that the population does not necessarily have adequate skills for newly created jobs. Also, in the absence of up-to-date and active labor market policies, the mismatch between market demand (especially in the formal sector) and education is translated into higher informal sector activities in most ESCWA countries.

This project is expected to provide a forum for ESCWA countries to prepare for the Fourth Industrial Revolution (FIR) while factoring in the number of jobs needed between now and the attainment of the 2030 Agenda. The key aim is to support ESCWA States for the upcoming change in jobs and skills due to technological advancements taking place while considering the national characteristics. Ultimately, we will help member states harness job opportunities emerging from the advent of newer technologies, while taming challenges to attain outcomes stated in SDG-8---support member states sustain economic growth (8.1), reach high levels of economic productivity (8.2), promote productive activities (8.3), attain full productive employment and decent work for all (8.5) and reduce the number of youth not in employment, education or training (8.6).

Qualifications/special skills

A Bachelor’s degree in computer science, mathematics, statistics, bioinformatics or any related field is required.

All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed.
2 years of work experience in artificial intelligence and machine learning with an emphasis on product development is required.
Experience using statistical computer languages (R, Python, SLQ, SPSS, STATA etc.) to manipulate data and draw insights from large data sets is desirable.
Knowledge of a variety of machine learning techniques (clustering, bagging, decision tree learning, artificial
neural networks, data mining, data analysis, etc.) is desirable.
Excellent written and verbal communication skills is desirable.
Experience in working in remote global teams with the ability to clearly communicate technical details to relevant audiences is desirable.
Experience and passion for a fast-paced agile environment and delivering functional perfection in short time windows is desirable.
Experience in working for International Non-governmental organizations such as INGOs, UN bodies and other relevant structures is desirable.
Experience in data Science and NER human intervention is desirable.


Languages English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA.

For this position, fluency in English and Arabic is required.

Note: “Fluency” equals a rating of ‘fluent’ in all four areas (speak, read, write, and understand) and “Knowledge of” equals a rating of ‘confident’ in two of the four areas.

No Fee


Sorry, this job opening is no longer available.
Home | Privacy notice | Site map | Fraud alert | Contact Us
Copyright 2023 United Nations. All rights reserved