Senior Pricing Data Scientist – R&D & Predictive Modeling

AXA
Manchester, United Kingdom
6 months ago
Applications closed

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A leading insurance company in Manchester is seeking a Data Analytics professional to enhance predictive models for insurance pricing. Responsibilities include leading data enrichment projects, developing predictive features, and optimizing data pipelines. Ideal candidates will have experience in data analytics, proficiency in tools like Python, and a degree in a related discipline. This role offers competitive salary, annual bonuses, and benefits including a contributory pension scheme and private medical cover.
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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.