Senior AI Data Scientist, Agentic Automation
Pubblicato il 09-09-2026 - Team.Blue in Firenze
Company overviewteam.blue is the market leader in enabling digital success for small and medium-sized businesses (SMBs) across Europe, catering to over 3 million customers in 25+ languages. Our mission is to make online business success simpler, by providing our customers with all the tools and resources they need to excel online and remain ahead of the curve.Position overviewWe are looking for a senior data scientist to streamline marketing operations at team.blue, by building agentic systems to run them. You would report into the Applied AI team and work on marketing automation projects.Marketing here runs across many brands, markets and languages, on a stack that differs brand by brand. The work spans competitive and pricing monitoring, performance reporting and diagnosis, SEO and AI-answer visibility, content refresh, localisation and lifecycle production, paid search and social account hygiene, and tracking and consent QA. Each of these is a multi-step process across several systems, repeated per brand.The method you will follow matters more than the domain: map processes,
quantify the time and resources they consume, determine the ROI impact of agentic automation, build a proof of concept, take it to production and measure the impact of your work. This is closer to building autonomous, business-impact systems than to building pure single purpose models.What we are actually screening forClassical ML and applied statistics are the entry fee for this role, necessary and assumed. Everyone we are talking to has them.Four things separate candidates.Can you build an agent someone should trust. Most of these agents produce a judgment, backed by numbers: this page lost traffic because of a SERP change, this brand under-converts relative to a comparable one, this competitor’s pricing move matters. A confidently wrong judgment gets read and acted on across several markets before anyone checks it. Lots of this is irreversible, so a recommendation nobody can reconstruct th