About Accelerant Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers.
About the role
We're looking for a Data Scientist to develop machine learning and AI systems that improve decisions across pricing, underwriting, portfolio management, operations, and claims. You'll work across structured data, text, documents, and external data sources, applying statistical modeling, modern machine learning, AI and agentic workflows to solve challenging real-world problems.
What they're looking for
- A strong quantitative foundation: statistics, probability, optimisation, or applied mathematics
- Sound modelling judgement - you know what it takes for a model to hold up in the real world, not just on a validation set
- Strong programming skills
- Real willingness to work with LLMs and agentic AI as everyday tools, wherever your background sits today
- Clear communication with both technical and non-technical audiences - you can explain a lift curve to an underwriter and a shrinkage prior to a statistician
- Track record with LLM-powered applications or AI agents, especially if you've done the unglamorous work of proving they perform
More about this role
We're looking for a Data Scientist to develop machine learning and AI systems that improve decisions across pricing, underwriting, portfolio management, operations, and claims. You'll work across structured data, text, documents, and external data sources, applying statistical modeling, modern machine learning, AI and agentic workflows to solve challenging real-world problems.
The foundation of this role is serious quantitative modelling. We care about calibration, not just discrimination. We validate out of time and worry about leakage and drift. We quantify uncertainty and can tell you when a model should be trusted, when it shouldn't, and why. LLMs and agentic systems are a force multiplier on all of that and we measure those systems the way we'd measure any other model: on data they haven't seen, against a sensible baseline, with honest uncertainty around the result. You don't need an AI background to join us; you do need genuine enthusiasm for working this way.
This is not a reporting or dashboard role. You'll work on ambiguous, high-impact problems where you'll be expected to identify the right approach, build production-ready solutions, and measure the business impact of...
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