Data Scientist

Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. 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 your work.

The Principal Data Scientist will develop machine learning and AI systems to improve decisions across pricing, underwriting, portfolio management, operations, and claims.

Principal Data Scientist – Machine Learning & AI

Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. 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 your work.Requirements:<ul><li> A strong quantitative foundation: statistics, probability, optimisation, or applied mathematics</li><li> Sound modelling judgement - you know what it takes for a model to hold up in the real world, not just on a validation set</li><li> Strong programming skills</li><li> Real willingness to work with LLMs and agentic AI as everyday tools, wherever your background sits today</li><li> 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</li><li> Experience in one or more of the following is especially valuable: Track record with LLM-powered applications or AI agents, especially if you've done the unglamorous work of proving they perform</li><li> Depth in the statistical toolkit beyond supervised prediction: hierarchical models and shrinkage estimation, causal inference and experimentation, survival analysis, extreme value theory, or demand and elasticity modelling</li><li> Insurance domain knowledge: pricing, reserving, claims, underwriting, or distribution</li><li> Actuarial background or qualifications (partially or fully qualified)</li><li> Experience in regulated industries where model governance and explainability matter</li><li> ML engineering experience: taking models from research code to production services, or building the tooling and frameworks that help others deploy</li><li> Cloud and infrastructure skills: AWS, Azure, or GCP; containers and orchestration; APIs and data pipelines built with cost, latency, and reliability in mind</li><li> MLOps in practice: experiment tracking, model monitoring, automated retraining, and CI/CD for models and agent</li></ul>

Accelerant

Principal Data Scientist – Machine Learning & AI The Principal Data Scientist will develop machine learning and AI systems to improve decisions across pricing, underwriting, portfolio management, operations, and claims. Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. 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 your work. Data Scientist AI Engineer Accelerant business-consulting-and-services operational-consulting engineering-services business-intelligence-platforms it-services-and-it-consulting it-system-design-services it-system-operations-and-maintenance it-system-training-and-support strategic-management-services business-content professional-services professional-training-and-coaching management-consulting

As a Principal Data Scientist, you will tackle high-impact problems using machine learning and AI to enhance decision-making in various insurance processes. You will work with diverse data sources and collaborate with cross-functional teams to build scalable solutions.

We are looking for a Revenue Operations Data Manager to drive data-driven decision-making at Accelerant. The role includes analyzing revenue metrics, building and maintaining dashboards, ensuring data accuracy across revenue systems, performing cohort analyses and forecasting, and developing automated reporting solutions. The candidate will conduct deep-dive analyses on distribution productivity, pipeline health, and onboarding efficiency, support strategy development, and collaborate with finance on revenue recognition and bookings reconciliation. The position requires working remotely within the United States and involves partnering with various teams to translate business questions into data insights, supporting growth and operational efficiency.

Seeking a Revenue Operations Data Manager to analyze revenue performance, build dashboards, and provide insights to optimize growth.

RevOps Data Manager

United States

We are looking for a Revenue Operations Data Manager to drive data-driven decision-making at Accelerant. The role includes analyzing revenue metrics, building and maintaining dashboards, ensuring data accuracy across revenue systems, performing cohort analyses and forecasting, and developing automated reporting solutions. The candidate will conduct deep-dive analyses on distribution productivity, pipeline health, and onboarding efficiency, support strategy development, and collaborate with finance on revenue recognition and bookings reconciliation. The position requires working remotely within the United States and involves partnering with various teams to translate business questions into data insights, supporting growth and operational efficiency.Requirements:<ul><li> 3-5 years of experience in consulting, finance, revenue operations, or business intelligence roles</li><li> Experience within the insurance industry is preferred</li><li> Strong SQL skills and experience with data warehouses like Snowflake, Databricks, or similar platforms</li><li> Advanced Excel skills</li><li> Proficiency in data visualization tools such as Tableau or Power BI</li><li> Strong business acumen with the ability to translate data into actionable recommendations</li><li> Experience with CRM systems, preferably Salesforce</li><li> Intellectual curiosity and drive to hypothesis testing and analysis</li></ul>Benefits:<ul><li> Remote work within the United States</li></ul>

RevOps Data Manager Seeking a Revenue Operations Data Manager to analyze revenue performance, build dashboards, and provide insights to optimize growth. We are looking for a Revenue Operations Data Manager to drive data-driven decision-making at Accelerant. The role includes analyzing revenue metrics, building and maintaining dashboards, ensuring data accuracy across revenue systems, performing cohort analyses and forecasting, and developing automated reporting solutions. The candidate will conduct deep-dive analyses on distribution productivity, pipeline health, and onboarding efficiency, support strategy development, and collaborate with finance on revenue recognition and bookings reconciliation. The position requires working remotely within the United States and involves partnering with various teams to translate business questions into data insights, supporting growth and operational efficiency. Data Scientist Analytics Engineer Accelerant business-consulting-and-services operational-consulting engineering-services business-intelligence-platforms it-services-and-it-consulting it-system-design-services it-system-operations-and-maintenance it-system-training-and-support strategic-management-services business-content professional-services professional-training-and-coaching management-consulting SQL Snowflake Databricks Excel Tableau Power BI Salesforce

The role involves owning revenue analytics, maintaining dashboards, ensuring data accuracy, and supporting strategic planning. Collaboration with cross-functional teams and experience with data tools are essential.

Associate General Counsel

Accelerant is looking for a seasoned attorney with deep expertise in U.S. securities law, particularly in Section 16 and executive compensation. The role involves advising on SEC reporting, executive compensation design, tax implications, and corporate governance. The attorney will partner with HR, Finance, and external advisors to ensure compliance with SEC, IRS, and stock exchange requirements, and provide guidance on compensation in M&A transactions. The position is remote and open to candidates across the U.S. The company offers a comprehensive benefits package including work-life balance, health and wellness benefits, remote work flexibility, and travel opportunities. Accelerant is a data-driven risk exchange connecting underwriters and risk capital providers in the specialty insurance market, with a mission to improve the way risk is exchanged using data analytics and AI.

Seeking an experienced attorney with expertise in U.

Accelerant is looking for a seasoned attorney with deep expertise in U.S. securities law, particularly in Section 16 and executive compensation. The role involves advising on SEC reporting, executive compensation design, tax implications, and corporate governance. The attorney will partner with HR, Finance, and external advisors to ensure compliance with SEC, IRS, and stock exchange requirements, and provide guidance on compensation in M&A transactions. The position is remote and open to candidates across the U.S. The company offers a comprehensive benefits package including work-life balance, health and wellness benefits, remote work flexibility, and travel opportunities. Accelerant is a data-driven risk exchange connecting underwriters and risk capital providers in the specialty insurance market, with a mission to improve the way risk is exchanged using data analytics and AI.Benefits:<ul><li> Work-life balance with flexible time off</li><li> High-quality health, dental, and other benefits</li><li> Remote work flexibility across the U.S.</li><li> Travel opportunities for in-person team and member connections</li></ul>

Associate General Counsel Seeking an experienced attorney with expertise in U. Accelerant is looking for a seasoned attorney with deep expertise in U.S. securities law, particularly in Section 16 and executive compensation. The role involves advising on SEC reporting, executive compensation design, tax implications, and corporate governance. The attorney will partner with HR, Finance, and external advisors to ensure compliance with SEC, IRS, and stock exchange requirements, and provide guidance on compensation in M&A transactions. The position is remote and open to candidates across the U.S. The company offers a comprehensive benefits package including work-life balance, health and wellness benefits, remote work flexibility, and travel opportunities. Accelerant is a data-driven risk exchange connecting underwriters and risk capital providers in the specialty insurance market, with a mission to improve the way risk is exchanged using data analytics and AI. Associate General Counsel General Counsel Accelerant business-consulting-and-services operational-consulting engineering-services business-intelligence-platforms it-services-and-it-consulting it-system-design-services it-system-operations-and-maintenance it-system-training-and-support strategic-management-services business-content professional-services professional-training-and-coaching management-consulting

This role involves advising on securities law, executive compensation, and corporate governance for a public company. The candidate will serve as a trusted legal advisor to senior management and cross-functional teams.

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