UNDP Sustainable Energy Hub Internship Programme: Data Science and NLP Intern (Remote, Full-Time)

UNDP Sustainable Energy Hub Internship Programme: Data Science and NLP Intern (Remote, Full-Time)


Overview

  • Position: Internship Programme
  • Location: Home-Based (Remote)
  • Duration: 6 months
  • Schedule: Full-time
  • Bureau: Bureau for Policy and Programme Support
  • Grade: Internship (IN)
  • Application Deadline: March 22, 2025 (09:29 AM UTC)

About UNDP

The United Nations Development Programme (UNDP) is a key international group driving sustainable improvement. As part of its dedication to the Sustainable Development Goals (SDGs), UNDP prioritizes Diversity, Equity, and Inclusion, guaranteeing truthful illustration and participation throughout all communities.

The UNDP Sustainable Energy Hub (SEH) performs a vital function in advancing power entry and transitioning to renewable power. Through progressive insurance policies, applications, and partnerships, SEH contributes to UNDP’s Energy Compact, which goals to supply clear and reasonably priced power to 500 million folks by 2025.

Role Description

This internship supplies a possibility to work carefully with the Sustainable Energy Hub to assist analysis, information evaluation, and digital innovation efforts. The intern will contribute to key energy-related tasks, together with Energy AI and Energy Moonshot initiatives, specializing in information analytics, visualization, and information administration.

Key Responsibilities

1. Data Management & Analytics

  • Organize and preprocess indicator datasets for sustainable power tasks.
  • Perform qualitative and quantitative analytics on power initiatives.
  • Support the combination of information into UNDP’s Sustainable Energy Academy frontend.
  • Maintain and replace a structured doc database for information administration.

2. Digital Innovation & Research

  • Develop proposals for brand new digital instruments to reinforce sustainable power mission monitoring.
  • Conduct literature opinions on digital improvements within the power sector.
  • Document and analyze case research associated to power transition initiatives.

3. Visualization & Data Storytelling

  • Develop interactive dashboards and visualizations for SEH experiences and briefs.
  • Create GIS-based storytelling merchandise as an example spatial information traits.
  • Implement automation for content material administration techniques to streamline updates.

4. AI & Knowledge Graph Development

  • Apply Natural Language Processing (NLP) and Machine Learning methods to extract insights from mission paperwork.
  • Support the refinement of data graphs for Energy AI initiatives.
  • Develop automated information pipelines for steady updates.

5. General Research & Support

  • Conduct analysis and information evaluation on UNDP energy-related tasks.
  • Support the preparation of experiences, literature opinions, and analysis briefs.
  • Manage real-time information pipelines to reinforce SEH’s information availability.

Qualifications & Competencies

Education Requirements

Applicants should meet one of the next standards:

  • Enrolled in a postgraduate (Master’s or larger) program in Data Science, Computer Science, Economics, Energy, or associated fields.
  • Enrolled within the closing 12 months of a Bachelor’s diploma in a related subject.
  • Recently graduated (inside one 12 months) from a college program as described above.
  • Enrolled in a postgraduate skilled traineeship program.

Required Skills & Experience

  • Strong background in information administration, processing, and evaluation of each structured and unstructured datasets.
  • Experience in information science, analytics, or analysis associated to local weather change and sustainable power.
  • Proficiency in Python and Machine Learning methods for backend providers and information pipeline improvement.
  • Knowledge of information visualization, together with dashboard creation and interactive analytics instruments.
  • Prior expertise inside the UN system or multilateral organizations is a bonus.

Technical Competencies

  • Proficiency in information analytics and analysis methodologies associated to sustainable power.
  • Experience with Natural Language Processing (NLP), AI, and information graph improvement.
  • Strong potential in information visualization instruments, GIS mapping, and digital storytelling.
  • Knowledge of monitoring and analysis processes for monitoring power mission beneficiaries.

Professional Competencies

  • Excellent verbal and written communication abilities.
  • Ability to work independently in a distant setting.
  • Strong organizational, reporting, and problem-solving abilities.
  • Commitment to UNDP’s values, together with gender sensitivity and cultural adaptability.

Internship Details

Institutional Arrangements

  • The intern will report back to the Director of the Sustainable Energy Hub.
  • Interns will likely be answerable for offering their very own gear, web entry, and workspace.

Stipend & Expenses

  • Remote Interns: May obtain a stipend to cowl web and communication prices.
  • In-Person Interns: May obtain a stipend for meals and transportation.
  • The stipend is paid month-to-month and prorated for part-time internships.
  • Interns financially supported by an establishment could obtain the difference between exterior funding and the UNDP stipend.

Leave Policy

  • Interns accrue 1.5 days of go away monthly (prorated for part-time internships).
  • Unused go away is forfeited on the finish of the internship.
  • Unjustified absences exceeding 9 days could end in stipend deductions.

Insurance Requirement

Interns should present proof of medical insurance coverage and self-certification of fine well being earlier than beginning the internship.

Application Process

Interested candidates ought to submit their purposes by way of the UNDP Careers Portal by March 22, 2025 (09:29 AM UTC).

For extra particulars and to apply, go to: UNDP Careers Portal


UNDP Sustainable Energy Hub Internship Programme: Data Science and NLP Intern (Remote, Full-Time)

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