Job
- Level
- Experienced
- Location
- Vienna
- Working Model
- Onsite
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Freelancer
Job Summary
In this role, you analyze the SitRoom database, develop machine learning models, and create forecasting analyses and reports for early warning based on open-source data.
Job Technologies
Your role in the 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 provided by the OSCE, ensuring that the entire 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.
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Our expectations of you
Education
- 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.
Qualifications
- 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.
Experience
- Demonstrated experience applying data analytics, statistical modelling and/or machine-learning methods to complex real-world datasets.
- Demonstrierte Erfahrung mit Python-basierter Datenanalyse, einschließlich Datenverarbeitung, Feature Engineering, Modellentwicklung und Visualisierung.
- 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.
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What we offer
- 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.
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Topics You Will Work On
Job Locations
About Your Employer
OSCE
Wien
The OSCE – the Organization for Security and Cooperation in Europe – is the world’s largest regional security organization, with 57 member states in North America, Europe, and Asia. The OSCE works to promote stability, peace, and democracy for more than a billion people through political dialogue based on shared values and practical cooperation.
Description
- Founding Year
- 1991
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Public Service, Unions
International Consultant - AI Data Analyst/Expert
- Location
- Vienna
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
