Data Science Intern

10 hours ago


København, Denmark UN News Full time

Time left to apply: End Date: January 21, 2025 (5 days left to apply)

Job requisition ID: JR2552259

Hardship Level (not applicable for home-based) : H (no hardship)

Family Type (not applicable for home-based) : Family

Staff Member / Affiliate Type : Internship

Target Start Date : 2025-03-01

Deadline for Applications : January 20, 2025

Terms of Reference

UNHCR, the UN Refugee Agency, is offering a full-time internship with the Statistics, Data Science, and Survey Section of the Global Data Service at UNHCR Copenhagen. Established in December 1950, UNHCR is a global organization dedicated to saving lives, protecting rights, and building a better future for asylum seekers, refugees, returnees, internally displaced persons, and stateless people. Every year, millions of men, women, and children are forced to flee their homes to escape conflict and persecution. UNHCR operates in over 130 countries, using its long expertise to protect and care for millions.

Job Title : Data Science Intern

Duty Station : Copenhagen, Denmark

Duration : 6 months (with possibility of 2-month extension)

Contract Type : Internship

Earliest Hire Date : 01 March 2025

Organizational context

The Statistics, Data Science, and Survey Section (SDSS) which is located in UNHCR’s Global Data Service (GDS) in Copenhagen, develops statistical definitions and standards, oversees the production of global statistics on refugees and other forcibly displaced populations, and applies innovative methods to answer questions related to forced displacement. Access to reliable, timely and accurate data is essential to achieve the aims of the Data Transformation Strategy 2020-2025, that is to position UNHCR as a trusted leader on data and information related to refugees and other populations of concern.

The position

The internship is in Copenhagen with the Statistics, Data Science, and Survey Section (SDSS) of the Global Data Service. The intern will work as a member of the Data Science Team of the Section to contribute to the delivery of advanced analytical products, in consultation with the relevant operational teams, including field operations.

Duties and Responsibilities

  1. Contribute to the CRAF’d-financed project CLIFDEW-GRID that predicts forced displacement at the subnational level with a specific focus on the role of climate change.
  2. Support the projects of the Data Science Team in applying statistical and data science techniques to global forced displacement and statelessness situations data to improve the understanding of population behavior and vulnerabilities.
  3. Support the design, development, and maintenance of data products which help improve the understanding of forced displacement issues.
  4. Document background analyses and the design of final data products.

Minimum qualifications required

To be considered for an internship, candidates must meet the following eligibility criteria:

  1. Be either a recent graduate (having completed their studies within two years of applying) or a current student in a graduate/undergraduate school programme from a university or higher education facility accredited by IAU/UNESCO.
  2. Have completed at least two years of undergraduate studies in a field relevant or of interest to the work of UNHCR.

Essential Minimum Qualifications and Professional Experience Required

The ideal candidate is/has:

  1. Good oral and written communication skills and interpersonal abilities with fluency in English.
  2. A university degree (MSc or MA) in Data Science, Data Engineering, Machine Learning Engineering, Statistics, Mathematics, Physics, or another quantitative field.
  3. Fluency in a (statistical) programming language such as Python, R, and/or Julia.
  4. Some experience with data management tools (e.g., SQL), information sharing platforms, and data visualization tools (e.g., Shiny or Dash).
  5. Some experience with applications of statistical and data science models to real-world data, in particular geo-spatial data.
  6. Some experience with remote sensing data.
  7. Some experience with Azure, Data Bricks, and Data Factory.

The Intern will be expected to engage with and support the following activities:

  1. Support in defining modelling strategies for the inclusion of climate change into the prediction of subnational forced displacement.
  2. Support the development of predictive models of refugees and forcibly displaced populations.
  3. Support the generation and update of datasets on forced displacement or feature variables for predictive models.
  4. Support collaborative work and communications with external partners in other agencies, governmental bodies, and academic institutions.
  5. Any other tasks, as needed.

Conditions

It is a full-time role with working hours from 8:30 a.m. to 5:00 p.m., Monday through Friday (40 hours per week). The successful candidate must be available to work full-time for the duration of the internship.

Allowance : Interns who do not receive financial support from an outside party will receive an allowance to partially help to cover the cost of food, local transportation, and living expenses.

Travel : Unless provided or paid by external sponsoring entities, UNHCR reimburses interns engaged from a location outside of the country of the duty station for the ticket costs of their outward and return travel to/from the duty station by the most economical route available on economy class, irrespective of the duration of the journey.

Obligations

Acquiring and renewing current visas, residence permits including all associated costs, obtaining medical certification and compliance with taxation requirements (if applicable), are the responsibility of the intern.

The selected candidate will need to provide UNHCR with proof of health insurance coverage applicable to the assigned internship location and a certificate of good health from a qualified medical practitioner certifying their fitness for work and travel.

If you are a person with a disability and you expect you may face challenges during the recruitment process, you can indicate it in your application form. There are options to select any health conditions you may have and outline any necessary adjustments related to disabilities during the recruitment phases.

All candidates will be assessed based on meeting the requirements for each vacancy in relation to experience, skills, and education.

UNHCR seeks to sustain and strengthen diversity to ensure equal opportunities as well as an inclusive working environment for its entire workforce. Applications are encouraged from all qualified candidates without distinction on grounds of race, colour, sex, national origin, age, religion, disability, sexual orientation, and gender identity.

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