Data Scientist, Parameta Solutions (Madrid)

Experteer Overview In this role, you will design, develop and deploy scalable data products that convert complex financial data into actionable insights, supporting Parameta Solutions’ AI-driven analytics.You will work with cross-functional teams to build production-grade Python applications and Generative AI capabilities that drive commercial value.The role combines data engineering, analytics and cloud technologies to evolve a data-driven product suite in a fast-growing organization.This is a hands-on position at the intersection of finance, data science and AI, with a clear impact on decision-making and client outcomes.Compensaciones / Beneficios * Design, develop and maintain Python-based applications for financial data analysis and automation * Build scalable data science solutions extracting insights from large datasets * Create interactive dashboards and visualization tools for decision-making * Improve data applications, data quality frameworks and analytics platforms * Collaborate with Data Engineers, Product Managers and commercial stakeholders to ensure scalable, reliable data products * Apply software engineering best practices including code reviews, modular design and CI/CD * Develop Generative AI solutions to enhance internal processes and customer-facing products * Utilize AWS to build scalable AI/ML applications leveraging the AWS partnership * Explore emerging AI/ML technologies to improve products and client outcomes * Contribute to evolving Parameta Solutions’ data science capabilities and standards Responsabilidades * Master’s in Data Science, Mathematics, Computer Science, Engineering or another quantitative discipline * Proven experience developing production-grade Python applications in data science or quantitative analytics * Strong software engineering fundamentals (OO design, modularity, version control) * Experience building and deploying analytical/ML/AI solutions in a commercial setting * Advanced SQL skills for large-scale data querying/manipulation * Experience with Snowflake, Airflow, Docker and CI/CD pipelines * Experience developing or integrating Generative AI/LLM/machine learning solutions * Experience with cloud architectures and AWS * Excellent problem solving, analytical and communication skills for cross-functional work Requisitos principales *

Engineering or another quantitative discipline, * Proven experience developing production-grade Python applications in data science or quantitative analytics * Strong software engineering fundamentals (OO design, modularity, version control) * Experience building and deploying analytical/ML/AI solutions in a commercial setting * Advanced SQL skills for large-scale data querying/manipulation * Experience with Snowflake, Airflow, Docker and CI/CD pipelines * Experience developing or integrating Generative AI/LLM/machine learning solutions * Experience with cloud architectures and AWS * Excellent problem solving, analytical and communication skills for cross-functional work Requisitos principales *