Title: Data Scientist, Delivery
Location: Turin, Italy (hybrid)
Reporting to: CTO
Before you apply: Nebuly is where the bar is high and the vision is bold. We move fast, think deeply, and push each other to build the future of AI products. If you're ready to give your best, we'd love to hear from you.
Nebuly is a fast-growing, VC-backed startup building the platform that proves the ROI of enterprise AI.
Every enterprise function (sales, customer support, HR, finance) is deploying AI agents at scale, and budgets are following fast. But most companies can't answer a basic question: is this spend actually working? The signal that could answer it is already there, in the millions of conversations happening every day between employees, customers, and these agents. It's unstructured, high-volume, and invisible without the right infrastructure.
Nebuly makes that signal visible. It sits on top of any enterprise AI deployment, turns those conversations into a clear answer on whether AI is working and where, and connects the dots back to ROI. Think of it as the accountability layer for enterprise AI: connect once, see the impact, prove the value, with no data ever leaving your environment.
Our customers include Oura, CNH Industrial, Vodafone, and Moncler. Demand is accelerating fast, and we're building the team to match.
Every new customer brings a different AI deployment, different users, and different questions they need answered. Most of them start with a Proof of Value (PoV) or Proof of Concept (PoC): a few intense weeks in which we have to show, on their own data, that Nebuly delivers insights they can't get anywhere else. Plugging in the product is only half the job: the other half is making sure that what Nebuly shows is exactly what that customer needs to see. As a Data Scientist in our Delivery team, you own that second half, and you are the person who makes a PoV/PoC succeed.
You dive into each customer's data, find the trends that matter, and decide what is real signal and what is noise. You judge whether a metric, a topic, or an insight is actually useful for that specific customer, and you shape the product configuration accordingly. Throughout the PoV/PoC and the installation you work side by side with our revenue team and directly with the customer's own stakeholders: you agree on success criteria, you show them what their data is telling them, and you iterate until the product fits their needs perfectly and the value is clear enough to turn the pilot into a long-term deal.
You sit at the intersection of data, product, and customers: you turn raw conversational data into insights a business leader can act on, and you bring back to product and engineering what you learn in the field.
