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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Rain Technologies Inc. - **Location:** Amsterdam, Netherlands (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Big Data, Python (Programming Language), Natural Language Processing, Performance Tuning, Tensorflow, SQL Databases, Feature Engineering, Pytorch, Large Language Models, Prompt Engineering, Model Validation, Pandas, Scikit Learn - **Published:** May 24, 2026 - **Apply:** https://nl.indeed.com/viewjob?jk=68fe8ff156822088 ## About the Role * 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 * You take ownership end-to-end: from a messy raw dataset to a monitored production model, you don't hand things off and walk away * You communicate with clarity - you can walk a skeptical stakeholder through a model's tradeoffs without leaning on jargon * You care deeply about model behavior in the real world, not just on a held-out test set * You mentor and elevate the people around you, and you're energized by working somewhere where the stakes are real Required Technical Qualifications * Python and core ML libraries, (pandas, scikit-learn, PyTorch, or TensorFlow ) * SQL and working with large, complex datasets * Experience with LLMs and NLP techniques (fine-tuning, RAG, prompt engineering or similar) * Communication skills to explain models trade offs * Solid understanding of statistical modeling, experimentation, and model evaluation * Experience taking models from prototype to production * Familiarity with agentic frameworks (e.g. Langchain) and agent orchestration and evaluation Diversity, Equity and Inclusion Commitments ## Description 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 ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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