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  • Internship
    Full-time
    Off-cycle Internship

Requirements

  • Education:
  • Applicants must at the time of application, meet one of the following requirements:
  • Be enrolled in a post graduate degree programme (Master programme or equivalent, or higher);
  • Be enrolled in the final academic year of a first university degree programme (minimum Bachelor’s level or equivalent);
  • Have graduated with a university degree (as defined in (a) and (b) above) and, if selected, must start the internship within one-year of graduation.
  • Language Requirements:
  • Proficient in written and spoken English;
  • Knowledge of another UN language would be an asset.

Responsibilities

  • The intern(s) will provide support to the Risk Anticipation Hub in its information management and data science tools development activities.
  • Help develop statistical and machine learning models in support of multi-factor and integrated risk analysis.
  • Support in designing, adapting and deploying natural language processing (NLP) applications to open-source text data (social media, news media articles, etc.).
  • Assist in developing new approaches to detecting events and trends within various real-time and open-source data, such as social media, incident tracking databases, geospatial data, etc.
  • Support iterative development and testing, prototyping and validating models with end-users.
  • Help develop and build efficient data pipelines in cloud-based platforms and facilitate the ETL process to optimize data ingestion, cleaning, joining, merging, and automation.
  • Other related duties as may be assigned.
  • The intern(s) will be expected to participate as an active member of the team and openly contribute his/her perspectives throughout the internship.

FAQs

What is the location of the internship?

The internship is home-based.

What type of contract is offered for this position?

This position is offered as an internship.

When is the application deadline?

The application deadline is 20-Sep-24 (Midnight New York, USA).

What is the duration of the initial contract?

The initial contract duration is 3 months.

Are there language requirements for this internship?

Yes, proficiency in English is required. Knowledge of another UN language would be an asset.

What is the expected duration of the assignment?

The expected duration of the assignment is 3 to 6 months.

What qualifications are required to apply for this internship?

Applicants must be enrolled in a postgraduate degree program, in their final academic year of a bachelor's degree, or have graduated within one year of application.

What technical skills are sought for this internship?

Candidates should have knowledge of data modeling, data mining techniques, programming in Python, and familiarity with machine learning applications. Knowledge of PySpark, R, and cloud-based technologies like Azure is a plus.

What kind of work will the intern be involved in?

The intern will support the Risk Anticipation Hub in advanced analytics, machine learning model development, natural language processing applications, and data management activities.

Is there an opportunity to work with a diverse team?

Yes, the intern is expected to interact with individuals from diverse cultural backgrounds and contribute their perspectives as an active team member.

Government
Industry
10,001+
Employees

Mission & Purpose

The United Nations Development Programme works in nearly 170 countries and territories, helping to achieve the eradication of poverty, and the reduction of inequalities and exclusion. We help countries to develop policies, leadership skills, partnering abilities, institutional capabilities and build resilience in order to sustain development results. DISCLAIMER: The United Nations Development Programme (UNDP) does not guarantee the truthfulness, accuracy, or validity of any comments posted to its social media outlets (blogs, social networks, message boards/forums, etc.). Users must not post any content that is obscene, defamatory, profane, libelous, threatening, harassing, abusive, hateful or embarrassing to any person or entity. UNDP reserves the right to delete or edit any comments that it considers inappropriate or unacceptable, and to delete off-topic comments in order to foster conversations about the topics shared on this page.

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