Who are we? * We are digital natives and technology-neutral thanks to our rapid adaptation capabilities and problem-solving skills in any business situation. * We are passionate about technology challenges that have a significant impact on business. To address these, we have high-performance teams and the ability to quickly and effectively combine technologies. * We support our clients in their digital evolution to achieve maximum efficiency in their businesses, leveraging our extensive multi-sector experience. Who are we? We are part of the Alkemy Group, specializing in driving growth through our technological expertise, tackling complex challenges, and fostering operational excellence. * We are digital natives and technology-neutral thanks to our rapid adaptation capabilities and problem-solving skills in any business situation. * We are passionate about technology challenges that have a significant impact on business. To address these, we have high-performance teams and the ability to quickly and effectively combine technologies.



* We support our clients in their digital evolution to achieve maximum efficiency in their businesses, leveraging our extensive multi-sector experience. We invite you to get to know us in depth by exploring the various sections of our website. What will you do? * Design, develop, and maintain scalable data pipelines using PySpark to efficiently process large volumes of data. * Develop, test, and optimize Machine Learning models for predictive analytics, including regression, classification, and clustering techniques. * Manage and deploy Machine Learning environments and workflows using AWS SageMaker, while leveraging Athena for data querying and analysis. * Integrate Machine Learning models into production pipelines, ensuring proper monitoring, maintenance, and continuous improvement through MLOps best practices. * Collaborate closely with cross-functional teams to understand business challenges and translate them into data-driven soluti

📌 Data Scientist (Madrid)
🏢 INNOCV Solutions
📍 Madrid