- Company Name
- Sibylline Ltd
- Job Title
- Data Scientist/Modeller
- Job Description
-
**Job Title**
Data Scientist/Modeller
**Role Summary**
Senior data scientist tasked with building analytical models, indices, and AI‑enabled workflows for a security and risk intelligence platform. Focus on integrating quantitative data, qualitative expert judgement, and LLM‑based analysis to deliver structured risk assessments and trend insights across geopolitics, crime, health, and societal domains.
**Expectations**
- Design, develop, and maintain robust quantitative models and scoring frameworks.
- Leverage LLMs and structured qualitative inputs to create scalable, transparent analytical processes.
- Validate and iterate models with new data, ensuring reproducibility and auditability.
- Embed models into enterprise SaaS products in collaboration with analysts, product managers, and engineers.
- Contribute to AI governance and analytical standards.
**Key Responsibilities**
- Build and refine indices, indicators, forecasts, and composite scores for geopolitical and risk metrics.
- Combine structured qualitative judgement with quantitative datasets using LLMs (e.g., text analysis, summarization, signal extraction).
- Design explainable AI workflows suitable for client‑facing intelligence outputs.
- Analyse time‑series, geospatial, and event‑based data across time and regions.
- Stress‑test, validate, and update models as intelligence streams evolve.
- Document methodologies, assumptions, and limitations for technical and non‑technical stakeholders.
- Collaborate with cross‑functional teams to deploy models in production systems.
- Help establish analytical and AI governance frameworks.
**Required Skills**
- Strong applied data science or quantitative modeling experience in real‑world decision contexts.
- Proficiency in Python for data analysis and modeling; familiarity with SQL or similar querying tools.
- Experience building indices, indicators, composite scoring systems, or forecasts.
- Ability to formalise qualitative judgement and expert assessment.
- Hands‑on experience with LLMs (prompt engineering, evaluation, hybrid human–AI workflows).
- Solid statistical reasoning and data analysis capabilities.
- Experience with time‑series, geospatial, event‑based, or text data highly desirable.
- Prior work in geopolitical or geoeconomic modeling preferred.
- Strong interest in geopolitics, security, crime, public health, or societal risk.
**Required Education & Certifications**
- Bachelor’s or Master’s degree in a quantitative or analytical discipline: Data Science, Statistics, Economics, Mathematics, Political Science (quantitative focus), Epidemiology, or equivalent.
- Background in intelligence, risk, or security analytics is a plus.
*(All other details such as company, location, benefits omitted as per request.)*