Data Science Actuary (PHD Graduates)

Arthur Recruitment
Bristol, England
12 months ago
Applications closed

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29 Jun 2025 (12 months ago)

I am working with a leading Personal Lines Insurer who are seeking an individual to join their Technical Pricing team. This team is responsible for specialist actuarial analyses of U/W performance within different products such as Home/Motor.


This role offers the opportunity to use new technologies and be involved in delivering strategic change such as improving the sophistication of models and deploying the latest data science techniques.


This vacancy can be fully remote.


Responsibilities:

  • Building predictive/machine learning models
  • Predict perils for claims/severity
  • Producing reports and presentations to communicate the results of actuarial analyses to key stakeholders


Requirements:

  • PhD/Masters in a research based subject
  • Experience of actuarial pricing or statistical modelling
  • Knowledge of R or Python

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What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.