Data Science & Prototyping Developer - tech

Handle Recruitment
London, England
9 months ago
Applications closed

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15 Dec 2025 (9 months ago)

A Tech giant is seeking a Data Science & Prototyping Developer to join their Marcom Data Analysis & Insights team.


The successful candidate will be highly autonomous developer and be able to help build next-gen AI-integrated marketing analytics tools. You'll prototype data products, automate reporting, modernise legacy workflows and turn complex marketing questions into clear, actionable insights.


You'll bring:

  • 5+ years in data analytics/data science
  • Strong Python skills and experience with Snowflake
  • Digital analytics knowledge (Adobe/Google Analytics)
  • Data visualisation experience (Tableau/Looker/D3)
  • Proven ability to integrate AI/ML into analytical workflows



Handle actively welcomes applicants from under-represented backgrounds - we pride ourselves on attracting the best talent for every opportunity through a commitment to equality, diversity and inclusion.

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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.