Principal Data Scientist, Applied AI (Energy & Resources)

Wood Mackenzie
Edinburgh, United Kingdom
5 months ago
Applications closed

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A leading analytics firm in the UK seeks a Principal Data Scientist to develop AI-native capabilities for their consulting portfolio. This hybrid role involves collaboration across various teams and mentoring junior data scientists. Candidates should have over 8 years of experience in advanced machine learning, a strong background in ontology design, and excellent communication skills. This position offers opportunities to tackle complex customer problems in a dynamic environment, driving strategic AI solutions that impact the energy sector.
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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.