Consultancy - Data Scientist

Location: Berlin, Germany

Introduction

Established in 1951, IOM is a Related Organization of the United Nations and the leading UN agency in the field of migration. Working closely with governmental, intergovernmental and non-governmental partners, IOM promotes humane and orderly migration for the benefit of all. It saves lives and protects people on the move, drives solutions to displacement, and facilitates pathways for regular migration, while providing services and advice to governments and migrants. 

IOM is committed to fostering a respectful, inclusive and supportive workplace where all employees can thrive professionally and feel valued. By creating such an environment, IOM aims to better harness the full potential of migration and strengthen its support to people on the move.

IOM invites candidates from diverse backgrounds to apply and provides reasonable accommodation throughout the recruitment process when required. Learn more about IOM’s workplace culture at IOM workplace culture | International Organization for Migration

Project Context and Scope

This consultancy supports the Migration and Displacement Data and Research Analytics Division (MDDRAD).

The scope of work includes:

• Identify, compile, and curate internal and external datasets with operational relevance to IOM. These range from humanitarian surveys (e.g., collected through IOM's Displacement Tracking Matrix (DTM)), to geospatial datasets of environmental and socio-economic variables, to unstructured data from traditional and social media. 

• Use large language models (LLMs) and other AI methods to process, structure, analyze, and synthesize structured and unstructured data. Develop AI-enabled analytical workflows and decision-support tools, including using approaches such as retrieval-augmented generation (RAG) and agentic systems. 

• Develop machine learning and statistical models (including regression and classification) to generate insights relevant for IOM operations, policy, and decision-making. Conduct analyses to identify trends and patterns, fill data gaps, and develop forecasts. 

• Communicate analytical products through visualizations, presentations, and reports tailored to audiences with varying levels of technical expertise. 

• Collaborate with data, research, policy, and operational colleagues across IOM, as well as with governments, UN agencies, academia, NGOs, and private-sector partners. 

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