About the opportunityWe 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:- Classification and regression models: (e.G., CatBoost, XGBoost, LightGBM)- Time Series Analysis: (e.G., ARIMA, SARIMA, Prophet)- 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 independently while know

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