Actuarial

Pricing

Reserving

Actuarial

Insights

An Actuarial Data Scientist is an actuary who is also fluent in machine learning. The role blends a deep grounding in insurance with modern analytical techniques.

In this article, we break down the three generations of AI, why actuaries face a higher bar than most professions, and what the right agentic AI actually looks like in a pricing workflow.

Building a strong pricing model is key for actuarial teams, but it is only one part of the journey. For the model to create business value, it needs to move through data pipelines, product requirements, IT systems, governance processes, and deployment workflows before it can reach production. That journey rarely belongs to actuaries alone.

Transparency and Governance in Insurance Pricing helps carriers improve auditability, strengthen compliance, and build trust with explainable AI.

The GLM versus GBM debate has dominated actuarial circles for years. It's not about which model is better, it's about knowing exactly when each one delivers the most value. We asked our Actuarial Data Scientists at Akur8 to settle this question. Their answer: both models win, just in very different situations.

A five-phase roadmap to help insurers assess, prioritize, modernize, reinforce, and scale pricing transformation.