Lead Data Scientist

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/85sqhj

Job-ID: c1a4f6d4-21e5-49fb-8ecc-84a6b28cfb20Location: MilanSalary: 65133 - 93142 EURType: Full timePosted: Contact: , briefly At Klarna, we're building an everyday finance network, helping over 120 million consumers across 26 countries save time and money, and worry less about their finances. Working here means taking on problems most companies never get to solve, and being hands-on enough that the interesting part of the work lands with you, not someone else — you'll build with AI, not watch it happen. This is the stretch zone. Come find out what you're capable of.
About the role
Every customer who uses Klarna leaves behind a sequence of transactions, logins, and other events. The Next Generation Modeling Techniques team is building a foundation model that turns that sequence into a single, reusable representation of the customer — a transformer trained specifically on Klarna's own data, built in-house rather than adapted from an existing public model, because the patterns it needs to learn don't show up in general-purpose LLM training sets.



That representation feeds Klarna's consumer credit underwriting, where how a customer has behaved becomes a signal for how they're likely to behave next. Getting there means solving a problem most transformer work skips over: how to tokenise a purchase amount, a merchant category, and a timestamp into the same sequence a model can learn from, without losing what makes each of those different. This position sits in a small, high-ownership team, close to the architecture decisions that shape the model. It's about the mechanics of transformers themselves — the algorithms, not the orchestration of an existing one — carried from a research decision through to a system running in production.
What you'll do
You'll train transformer-based models on long, real-world sequences of Klarna's transactional and behavioural events. You'll design tokenisation schemes for numerical, categorical, and temporal features, deciding on vocabulary size

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/85sqhj