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2 days ago
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Data and Energy Planning Intern

UNOPS

Software & Data

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Job Summary

Supporting the IEP team on the transition phase of the OBI Tool by contributing to formulating the next phases – ensuring the sustainability of our solution, as well as attending capacity building sessions around technical developments, as needed

  • Minimum Qualification : Bachelors

Job Description/Requirements

Functional Responsibilities

Main duties and tasks

  • Supporting the IEP team on the transition phase of the OBI Tool by contributing to formulating the next phases – ensuring the sustainability of our solution, as well as attending capacity building sessions around technical developments, as needed.
  • Providing technical and stakeholder engagement support on the ongoing use cases of the tool in Kenya and India.
  • Support with stakeholder engagement and outreach to foster collaborations and expand tool functionality to other geographies.
  • Supporting the coordination of dissemination activities around the OBI Tool and related thematic areas.
  • Engaging with the Community of Practice to communicate and promote the ongoing developments of the tool, gathering relevant feedback, and looking at the potential for creating a Community of Practice around the OBI Tool in other geographies, e.g., India.
  • Apart from the above-mentioned key activities, supporting and learning from other relevant activities and projects active in the program


Learning Objectives
This internship provides hands-on experience and growth opportunities in the following areas:

  • Hands-on development and/or application of AI-driven tools supporting energy planning;
  • Exposure to the international development sector with regional/country focus;
  • Active involvement in at least one ongoing country project of the SEforALL IEP team


Education/Experience/Language requirements

Education

  • Applicants should have recently (in the last 3 years) graduated with a first level or advanced university degree (Bachelors, Masters or equivalent) in technical fields such as engineering, preferably with further specialization in data science, machine learning, and business analytics and applications in the energy field.


Experience

  • Applicants are not required to have prior work experience, however prior experience in data analytics and energy planning around technology products is desirable;
  • Experience in Python programming is an asset.


Language

  • Fluency in English is required. Working knowledge of another official UN language is an asset

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