Assess the practicality and relevance of modern technologies such as machine learning, big data analytics, generative AI, multi-agent systems, and quantum computing in insurance and risk consulting.
Work with diverse teams to pinpoint challenges in the industry and devise innovative solutions using these technologies.
Examine intricate data sets to offer insights that aid in the strategic decision-making of insurance sector clients.
Create and execute pilot projects to illustrate the effectiveness and real-world application of these technologies.
Keep abreast of the latest technological developments, especially in the insurance field, and advise on how they might influence our services.
Aid in business growth by engaging in client meetings, presentations, and proposals, highlighting the advantages and functionality of our technological offerings.
Required Skills:
1. Skilled in various modelling methods such as active learning, transfer learning, agent-based modelling, optimization, Bayesian inference, entity extraction/resolution, and spatio-temporal modelling.
2. Proficient in developing models from fundamental principles and selecting modelling techniques without bias.
3. Experienced in multiple stages of model development, including requirements analysis, task formulation, implementation, validation, and deployment.
4. Capable of conducting research, creating conceptual models, prototyping, and mentoring others in these processes.
5. Adept at explaining complex modeling concepts to diverse audiences, both technical and non-technical.
6. Experienced in taking on a technical leadership role in project settings.
7. Holds a strong undergraduate degree in a STEM field with a significant focus on mathematics; possessing a PhD is beneficial but not mandatory.
8. Proficient in Python programming.
9. Experienced in managing large datasets, appropriate software techniques, and understanding hardware needs.
10. Familiar with the software development lifecycle and Agile methodologies.
11. Skilled in communicating complex ideas effectively to various audiences, tailoring the depth of information as needed.
Office: Hybrid (Oxford)
Contact: Send us your resume/CV and cover letter to here.
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