International Consultant - AI Data Analyst/Expert in Wien

Deine Rolle im Team

Under the overall supervision of the Chief, Operations Support Unit, the consultant will be tasked with the following duties:

Ingest, profile and process the full SitRoom open-source news database made available by the OSCE, ensuring that the full archive can be transformed into analysis-ready daily feature tables suitable for early-warning analysis.

Apply and refine Machine Learning algorithms on the full SitRoom open-source dataset.

Develop and test the case-specific indicator generation method, using pre-defined periods and/or rolling prominence analysis to identify terms, actors, places, themes or narratives that become unusually prominent in a given case.

Re-run historical validation and back-testing on selected OSCE-relevant cases, subject to data availability, and document the performance, limitations and transferability of the model.

Develop a working prototype application that can generate analyst-facing outputs, including a summary report or exportable results.

Prepare user documentation, technical documentation and handover materials enabling OSCE staff to understand, test and further develop the prototype.

Develop a forecasting model for early warning trend analysis based on the SitRoom OSINT database.

Unser Angebot

The initial duration of the assignment is until 31 March 2027.

Further extensions will be subject to financial and operational requirements.

Remuneration will be based on the selected consultant's/expert's qualifications, experience, the tasks and deliverables for this position and in accordance with the OSCE established rates.

Technologien und Skills

Python

Unsere Erwartungen an dich: Qualifikationen

Ability to translate technical model outputs into clear, interpretable findings for non-technical users.

Strong analytical writing skills and ability to prepare concise technical and policy-facing documentation in English.

Ability to work independently and deliver outputs within tight timelines.

Erfahrung

Demonstrated experience applying data analytics, statistical modelling and/or machine-learning methods to complex real-world datasets.

Demonstrated experience with Python-based data analysis, including data processing, feature engineering, model development and visualization.

Practical experience with Natural Language Processing (NLP) or text analytics, including one or more of the following: keyword-based feature extraction, topic modelling, sentiment analysis, named-entity recognition or document classification.

Experience developing, testing or documenting analytical models using methods such as logistic regression, random forest, support vector machines, anomaly detection or related supervised/unsupervised techniques.

Computer literacy and practical experience with Microsoft Office applications.

Ausbildung

First-level university degree in business analytics, data science, statistics, computer science, economics, political science, international relations, security studies, conflict studies or another relevant field.

#J-18808-Ljbffr