Our client is an insurtech out of MIT that builds AI-native technology platforms. They are looking for a Qualified Actuary to join their team as an Actuarial Data Scientist / Engineer, either remotely in South Africa or in the USA. The individual will be helping to build software systems that fuse traditional insurance models with marketing insights and cutting-edge AI to solve high-value problems for major short-term insurers.

Candidates who are interested should have at least 3 years’ experience in a data science or date engineering role with significant data engineering experience. You should be familiar with core risk and actuarial concepts and should have a solid understanding of statistical modeling and machine learning algorithms.

Responsibilities will include:

• Building robust and scalable actuarial and data science pipelines to power intelligent insurance decisioning by marketers and AI agents.
• Owning end-to-end design and development of data and modeling workflows – from ingesting raw source data and orchestrated large scale data processing to delivering features for modeling and agent interaction.
• Designing, building and implementing actuarial and machine learning model pipelines to forecast, predict and recommend propensities, costs and actions relating to insurance acquisition.
• Participating and contributing to technical leadership in data architecture, modeling approach and agentic workflow discussions.
• Contributing to the development of actuarial and AI agent toolkits.
• Continuously improving data infrastructure and modeling workflows for scalability, reliability and speed.

For more information, please contact Wilhelm.