Explore AI Limited, based in London, combines deep domain expertise in the insurance and water utilities i ndustries with cutting edge machine l earning and data science skills. The team is a blend of actuaries and machine l earning experts with decades of experience applying sophisticated statistical methods to insurance and utilities problems. A core understanding of risk as well as a experience across product development and machine learning is what we are looking for. Duties and Responsibilities: As a machine l earning actuary and technical product lead you will be responsible for designing, building and maintaining end to end digital products in the insurance and utilities sector. Specifically ● To serve in a consulting role, delivering machine learning solutions in the insurance and utilities sectors. ● To build end to end digital products (specifically products where advanced statistical or machine learning techniques have been applied) in the insurance and utilities industry. ● To design, build and deploy machine learning models in production in AWS and Azure. ● To document and communicate model output to clients ● To use statistical and machine learning techniques to help understand or quantify risk. ● To be responsible for client relationship management, both in the UK and South Africa ● To be responsible for building out business cases with rigorously thought through assumptions that inform future product development. ● To identify deep technical insights within data that drives business value. ● To maintain current products built on serverless cloud based architecture in AWS and current products built on distributed cloud based architecture in Azure.
Requirements: ● 5 years of experience working data science, actuarial or advanced analytical roles ● A degree in a related field ie statistics / actuarial science as well as formal training in machine learning and data science algorithms and techniques. ● Part or fully qualified actuary having completed all core technical exams (CT1 - CT8) as well as CA1. (and or equivalents) ● Experience in end to end product development ( specifically products where advanced statistical or machine learning techniques have been applied.) ● Experience in developing and presenting business plans or business cases ● Experience deploying machine learning models and APIS on serverless architecture in AWS. ● Experience building production ready systems using Python, Pandas, Scikit-Learn and Databrick on Azure cloud architecture.