By continuing to browse this site, you agree to our use of cookies. Read our privacy policy

Internship - Giga Data Science, Remote, Office of Innovation, 4 months

Remote | Geneva

  • Organization: UNICEF - United Nations Children’s Fund
  • Location: Remote | Geneva
  • Grade: Internship - Internship
  • Occupational Groups:
    • Statistics
    • Education, Learning and Training
    • Information Technology and Computer Science
    • Scientist and Researcher
    • Innovations for Sustainable Development
  • Closing Date: Closed

We are seeking a data science intern to support data and mapping priorities of the Giga initiative, a joint partnership between UNICEF and ITU. The Intern will collaborate with an interdisciplinary team to process geospatial data, develop various visual assets to amplify progress, products and solutions.

UNICEF works in some of the world’s toughest places, to reach the world’s most disadvantaged children. To save their lives. To defend their rights. To help them fulfill their potential.

Across 190 countries and territories, we work for every child, everywhere, every day, to build a better world for everyone.

And we never give up.

For every child, innovate

UNICEF has a 70-year history of innovating for children. We believe that new approaches, partnerships and technologies that support realizing children’s rights are critical to improving their lives.

UNICEF and ITU have launched "Giga", a new initiative to connect every school to the internet, and every young person to information, opportunity and choice. It also serves as a platform to create the infrastructure necessary to provide digital connectivity to an entire country, for every community, and for every citizen.

Providing connectivity to the world remains a challenge. According to the ITU, nearly 3.7 billion people remain unconnected from the internet, and by extension, unconnected to digital products and services that could dramatically improve their lives. Approximately 29% of 18-24-year-olds, most of them in Sub-Saharan Africa, do not have digital access (~360m people) and thereby lack access to the same information, opportunity and choice as their more-connected peers. Unless things change, a big part of this rapidly growing group of young people is in danger of being left behind, excluded from the modern digital world. 

Closing the digital divide requires global cooperation, leadership, and innovation in finance and technology. Giga leverages data, innovative finance and new technologies to bring the power of meaningful connectivity to fast-track young people’s access to educational resources and opportunities.

How can you make a difference?

You will work with the data science team on various initiatives to help actualize Giga’s ambitious goal of connecting every school, and every community to the Internet.

You will work with a diverse interdisciplinary team to help us scale our data processing pipelines, perform critical analysis and visualization and build statistical and machine learning models to generate insights for the Giga project.

Your main responsibilities will be:

  • Work closely with the data science team to build scalable data processing functions and pipelines.
  • Support to ideate and carry out exploratory data analysis on varied data types and sources.
  • process datasets, especially geospatial data on education, socio-economics conditions, infrastructure etc. To ensure quality and integrity
  • Support research studies, especially involving inference and causation modelling.
  • Assist in putting together articles and scientific AI research manuscripts for publication.
  • Create data visualizations & stories for analysis & communication purposes.

To qualify as an advocate for every child you will have…

  • Completed graduation within last 2 years or are currently enrolled in Computer Science, Machine learning, Data Science, Statistics, Econometrics or other relevant graduation programs.
  • Published or open-source relevant data science projects or papers.
  • Knowledge of data quality and processing pipelines.
  • Deep interest and understanding of inference and casual modelling – econometrics models, casual ML, Explainable AI.
  • Experience with dealing with geospatial data (vector or raster) is a plus.
  • Experience & interest in data visualization and storytelling is a plus.
  • Technical experience in:
    • Languages: Python or R,
    • Data visualization libraries
    • Cloud services: Azure, AWS, etc
    • Geospatial DBs, libraries and data structures
    • Sql and NoSQL database systems
    • Experience with git
  • Be proficient in at least one of UNICEF's working languages: English, French or Spanish.
  • Applicants must be at least 18 years old.
  • Have excellent academic performance as demonstrated by recent university or institution records.
  • Have no immediate relatives (e.g. father, mother, brother, sister) working in any UNICEF office; and have no other relatives in the line of authority that the intern will report to.

For every Child, you demonstrate…

UNICEF's values of Care, Respect, Integrity, Trust, and Accountability (CRITA).

To view our competency framework, please visit here.

UNICEF is committed to diversity and inclusion within its workforce, and encourages all candidates, irrespective of gender, nationality, religious and ethnic backgrounds, including persons living with disabilities, to apply to become a part of the organization.

UNICEF has a zero-tolerance policy on conduct that is incompatible with the aims and objectives of the United Nations and UNICEF, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination. UNICEF also adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo rigorous reference and background checks. Background checks will include the verification of academic credential(s) and employment history. Selected candidates may be required to provide additional information to conduct a background check.

 

Remarks:

Only shortlisted candidates will be contacted and advance to the next stage of the selection process.

The selected candidate is solely responsible to ensure that the visa (applicable) and health insurance required to perform the duties of the contract are valid for the entire period of the contract. The candidate may also be subject to inoculation (vaccination) requirements, including against SARS-CoV-2 (Covid).

 

This vacancy is now closed.
However, we have found similar vacancies for you: