The role involves researching and developing new methodologies and prototype solutions within the machine learning and artificial intelligence space. The individual will own all phases of research and development projects, from conceptualization and design to deployment and monitoring. Collaboration with operations, technology, and other data science teams is required throughout the project lifecycle. The position entails documenting new methodologies and best practices to a high standard. Additionally, the role requires engaging with stakeholders to define objectives, scope, and outcomes for assigned projects.

Candidates must hold a Doctorate degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or a related field. A minimum of 7 years of relevant experience is required, along with domain expertise in programming, software engineering, and statistical methodologies. Applicants must demonstrate high proficiency in Python and experience with large-scale databases and CI/CD best practices. Strong communication skills in English and a record of technical documentation or public presentations are also necessary.