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 / Ventajas
• 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
•

📌 Data Scientist, Parameta Solutions (Madrid)
🏢 Tp Icap
📍 Madrid