Data Scientist

Join to apply for the Data Scientist role at Norwegian Refugee Council .

What you will do:

• Analyse complex datasets from multiple sources to uncover trends and insights that inform humanitarian decision‑making.
• Develop predictive and machine‑learning models to forecast crises, humanitarian needs, and resource requirements.
• Design and maintain automated data pipelines, analytical frameworks, and real‑time dashboards for field and leadership use.
• Collaborate with program teams, data engineers, and partners to translate operational challenges into analytical solutions and communicate findings accessibly.
• Lead systematic mapping of datasets, establish academic collaborations, and contribute to CLEAR’s data architecture and model monitoring systems.
• Ensure ethical, interpretable, and bias‑mitigated AI solutions aligned with NRC’s policies and standards.
• Support the creation of early warning and impact‑based forecasting systems, integrating climate, conflict, and economic indicators for proactive humanitarian action.
• Perform any other related duties as assigned by the Technical Lead.

What you will bring:

• Advanced degree in Data Science, Statistics, Computer Science, Economics, or related quantitative field with a minimum of 5 years of professional experience in applied data science.
• Advanced proficiency in Python for statistical analysis, machine learning, and data manipulation, with experience in key libraries including pandas, NumPy, scikit‑learn, TensorFlow, PyTorch, and Keras.
• Strong SQL skills for database management and complex query optimization.
• Hands‑on experience implementing supervised and unsupervised learning algorithms including regression models, classification techniques, clustering methods, and time series analysis.
• Experience designing and implementing basic ETL pipelines for processing datasets from multiple sources. Skills in data cleaning, transformation, and quality assurance processes at scale.
• Ability to create automated reporting systems and dashboards using tools like Tableau, PowerBI, or similar platforms.
• Experience working with large, messy, real‑world datasets.
• Understanding of model deployment and MLOps practices.
• Fundamental skills with version control software and collaborative development.
• Fluency in written and spoken English. Other languages are an asset.
• Experience with natural language processing techniques for analyzing reports, social media, or news data relevant to crisis monitoring.
• Understanding of ensemble methods and basic explainable AI techniques for transparent decision‑making.
• General knowledge of remote sensing techniques for land cover classification, change detection, infrastructure monitoring, and population estimation (an asset).
• Experience implementing and fine‑tuning large language models (LLMs) (an asset).
• Experience using GenAI for automated analysis of large volumes of documents, extracting key themes, sentiment analysis, and identifying emerging trends across multiple contexts and languages.
• Experience with using AI tools for data augmentation and synthetic data generation for training purposes (an asset).
• Experience with multimodal data fusion and few‑shot learning techniques.

What we offer:

• Duty station: Oslo or NRC Representation Offices (London, Brussels, Berlin) or EOR Countries (France, Denmark, Finland, The Netherlands). The candidate must have the legal right to live and work from any of these countries. NRC will not provide sponsorship for visa and work permit.
• Contract: 2 years.
• Travel: 10%.
• Salary/benefits: Grade 9 on NRC’s Resident salary scale, with accompanying terms and conditions.
• NRC is an equal opportunities employer. We are committed to diversity without distinction to age, gender, religion, ethnicity, nationality, and physical ability.
• We think outside the box, encourage ideas, and give responsibility to all employees at all levels. You will have many opportunities to be heard and take the initiative.

Equal Opportunity Statement

NRC is an equal opportunities employer. We are committed to diversity without distinction to age, gender, religion, ethnicity, nationality, and physical ability.

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