[Hiring] Data Scientist @Sibylline Ltd

Role Description

We are building Sibylline’s core data and intelligence platform to support real-world security, geopolitical, and risk decision-making. We are seeking a Senior Data Scientist specialising in applied modelling to develop analytical models and AI-enabled methodologies that combine quantitative data, qualitative assessment, and expert judgement.

• Focus on building indices, indicators, trend analyses, and structured assessments across areas such as geopolitics, crime, security, public health, and societal risk.
• Use Large Language Models (LLMs) to support qualitative analysis at scale, such as extracting signals from text, structuring expert assessments, enriching data, and supporting transparent, auditable analytical workflows.
• Embed work directly into a developing enterprise SaaS intelligence platform for use by analysts and clients globally.
• This is a hands-on role suited to someone who enjoys working at the intersection of data science, qualitative analysis, and applied AI, and who is comfortable operating in complex, ambiguous real-world domains.
• This is a remote role working 9 am - 5 pm, Monday to Friday, requiring occasional travel to London. The London office is available to work in if desired.

Responsibilities

• Designing and maintaining quantitative models, indices, and scoring frameworks for diverse areas such as geopolitical, security, crime, and societal risk.
• Developing methodologies that combine structured qualitative judgement with quantitative data.
• Using LLMs to support qualitative analysis at scale (e.g. text analysis, signal extraction, summarisation, classification, enrichment).
• Designing AI-enabled analytical workflows that are transparent, explainable, and suitable for client-facing intelligence products for internal and external products.
• Analysing trends across time and geography using heterogeneous data sources (structured, semi-structured, and unstructured).
• Validating, stress-testing, and iterating models as new data and intelligence become available.
• Clearly documenting assumptions, methodologies, and limitations for both technical and non-technical stakeholders.
• Working closely with intelligence analysts, product managers, and software engineers to embed models and AI workflows into production systems.
• Contributing to the development of Sibylline’s analytical, modelling, and AI governance standards.

Qualifications

• Degree in a quantitative or analytical discipline (e.g. data science, statistics, economics, mathematics, political science with quantitative focus, epidemiology, or similar).
• Experience working with intelligence, risk, or security-related datasets.
• Familiarity with model interpretability, explainability, and AI governance in applied settings.
• Experience collaborating with software engineering teams to productionise analytical and AI-driven outputs.

Requirements

• Strong experience in applied data science, quantitative modelling, or analytical research in real-world decision-making contexts.
• Desired: prior experience in geopolitical or geoeconomic modelling.
• Proficiency in Python for data analysis and modelling.
• Working knowledge of SQL and similar technologies for querying and manipulating data.
• Desirable: knowledge of frontend development including React, Typescript.
• Experience building indices, indicators, forecasts, or composite scoring systems.
• Ability to structure and formalise qualitative judgement and expert assessment.
• Hands-on experience using LLMs in applied analytical workflows (e.g. prompt design, evaluation, chaining, or hybrid human–AI analysis).
• Strong statistical reasoning and data analysis skills.
• Experience working with time-series, geospatial, event-based, or text data is highly desirable.
• Strong interest in geopolitics, security, crime, public health, or societal risk.
• Comfortable working in a trusted environment and eligible for background screening.

Benefits

• Fantastic opportunities for career progression within a successful company.
• Support for employees to build their own personal profiles as well-regarded analysts within the broader industry.

Additional Information

• Initial call with our Talent Acquisition team member.
• 30-minute video call with the hiring manager.
• Home task.
• Panel interview with some of the team members and hiring managers at Sibylline.