About the opportunity We are seeking a Data Scientist to build production-ready applications. Our Data Science team develops practical machine learning applications to enable innovative and customer-facing product features. In this role, you will: * Own well-scoped projects from data exploration and feature engineering through modelling to deployment, with guidance from senior colleagues on larger or more ambiguous problems. * Contribute to solutions in financial crime prevention and credit risk assessment that reach customers. * Collaborate with data scientists, machine learning engineers and product managers to deliver customer value. * Support junior colleagues through code reviews, pairing and knowledge sharing. * Have the opportunity to experiment with new tech stacks and project ideas. What you need to be successful (Background and Skills): * Bachelor’s or Master’s degree with a focus on quantitative disciplines including mathematics, statistics, or computer science. * Practical experience (typically 2–4 years) developing machine learning solutions,



with at least one model taken to production. Experience in banking, fraud detection, or credit risk is a plus. * Hands-on experience with a range of modelling techniques, including: o Classification and regression models: (e.g., CatBoost, XGBoost, LightGBM) o Time Series Analysis: (e.g., ARIMA, SARIMA, Prophet) o Unsupervised Models: (e.g., clustering, anomaly detection such as Isolation Forest) * Solid understanding of model evaluation, including handling imbalanced data, validation strategies, and calibration. * Strong programming skills in Python and SQL. * Working knowledge of infrastructure (e.g., Docker/containers, CI/CD, GitHub Actions) and the ability to ship and maintain your own code. * Familiarity with Deep Learning concepts (neural networks, transformers, autoencoders) and at least one framework (TensorFlow, Keras, or PyTorch). * You are organised and self-motivated, and can drive projects forward indep

📌 Data Scientist (Cataluña)
🏢 Carbon Data Solutions
📍 Cataluña