Rain is the world's first AI Financial Health Platform, serving 3.5 million employees at leading organizations like McDonald's, Marriott, and T-Mobile. Rain works in the background to optimize every employee's financial life to prevent shortfalls and build long-term stability. Backed by top investors including QED and Prosus, Rain has raised $150M in venture funding to fuel our next stage of hyper growth.

About the Team

Our data science team sits at the center of Rain's product. We're a small, senior team embedded in a fast-moving fintech, which means the models we build go directly into production decisions — credit risk scoring, balance forecasting, personalized financial insights — and the impact is immediate and measurable.

We work closely with product, engineering, and compliance, and we operate like owners: defining problems, building solutions, and monitoring them in production. If you're the kind of data scientist who gets energized by seeing your work move the needle on a real product — not just a dashboard — this team was built for you.

This role is based remotely in EMEA. You'll be a key early hire on our international data science presence, working across time zones with our U.S.-based team and contributing to how we scale our ML function globally.

What You’ll Do

• Run end-to-end experiments: feature engineering, model selection, A/B testing, and production monitoring
• Build and maintain scalable, well-documented pipelines that keep models healthy in production
• Design, train, and deploy ML and Agentic models that drive core product decisions, including credit risk, forecasting, and personalized recommendations
• Collaborate with product and engineering to translate business problems into well-scoped modeling tasks
• Communicate model behavior and findings to both technical and non-technical stakeholders

Who You Are

• You thrive in ambiguity — you can take a loosely defined business problem, ask the right questions, and turn it into a well-scoped modeling task without waiting for a perfect brief
• You are a strong cross-functional collaborator who builds trust with product, engineering, and compliance partners and can speak their language
• You have a bias toward shipping — you know when a model is good enough to get into production and how to iterate from there, rather than optimizing in isolation