Data ScientistModeller

Sibylline Ltd

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profile Job Location:

London - UK

profile Monthly Salary: Not Disclosed
Posted on: 8 hours ago
Vacancies: 1 Vacancy

Job Summary

Role Summary

We are building Sibyllines 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. 

This role focuses on building indices indicators trend analyses and structured assessments across areas such as geopolitics crime security public health and societal risk. A key part of the role involves using Large Language Models (LLMs) to support qualitative analysis at scale to for example extract signals from text structure expert assessments enrich data and support transparent auditable analytical workflows. 

Your work will be embedded directly into a developing enterprise SaaS intelligence platform to be used 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 aremoterole working 9 am - 5 pm Monday to Friday requiring occasional travel to 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 Sibyllines analytical modelling and AI governance standards 

Knowledge Skills and Abilities 

  • 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 humanAI analysis) 
  • Strong statistical reasoning and data analysis skills 
  • Proficiency in Python (or similar) for data analysis and modelling 
  • Experience working with time-series geospatial event-based or text data is highly desirable 
  • Prior experience in geopolitical or geoeconomic modelling 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 

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 

Additional Information :

Interview Process   

  • 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  

Research indicates that certain groups are less likely to apply for a position unless they meet every single requirement. If you feel you meet some of the requirements and can offer a unique perspective to this role we strongly encourage you to applyyou might be the perfect fit were looking for! 

Sibylline is committed to the recruitment and selection of candidates without regard for sexual orientation gender ethnicity age political beliefs culture and lifestyle. We are committed to fostering a business culture that reflects these values and promotes equal opportunity. 


Remote Work :

Yes


Employment Type :

Full-time

Role SummaryWe are building Sibyllines 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 quantitativ...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

About Company

About SibyllineSibylline is a leading intelligence and strategic risk consultancy in the security sector. Since 2010 we have supported businesses, governments and NGOs through the provision of high-quality risk analysis, due diligence and consultancy services. The firm provides an inn ... View more

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