Senior AI Data Scientist — Agentic Process Development
Pubblicato il 03-10-2026 - Team.Blue in Firenze
Company Overview
team.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 Overview
We are looking for a Senior AI Data Scientist to streamline HR processes at team.blue — not by analysing them, but by building agentic systems to run them. Recruitment, onboarding, performance, rewards and offboarding are each multi-step processes spanning several systems and up to 25 countries, and your mandate would be to create systems that can streamline them end to end.
The method matters more than the domain: map a process, quantify what it costs in headcount, score which steps an agent could take, build a proof of concept, and take it to production. This work sits closer to building autonomous, side-effecting systems than to building predictive models.
The agents you design would be able to revoke IT access, issue signed contracts, and flag pay outliers into approval workflows. A wrong output here is not a bad number someone can catch — it is a high impact action taken in the world.
What we are actually screening for:
Not whether you can hand-roll a gradient-boosted tree. LLM coding tools can do that faster than you can. Classical ML and applied statistics are the entry fee for this role — necessary, and assumed. Everyone we are talking to has them.
What separates candidates is whether you can build an agent that is robust, cost-effective and trustworthy — with deterministic operations rather than “LLM does everything” patterns. Building a demo is now easy. Knowing whether to trust one is not.
We also mean end to end literally. You write it, you containerise it, you instrument it, and you own it when it breaks.
Your day would involve:
- Time with the HR Ops lead mapping how a leaver a