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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist, Parameta Solutions - **Company:** Tp Icap Group - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Business Analytics Applications, Automation of Tests, Big Data, Cloud Computing, Code Review, Continuous Integration, Information Engineering, Data Governance, Python (Programming Language), Machine Learning, Modular Design, Object-Oriented Software Development, Recommender Systems, Software Construction, Systems Integration, Cloud Platform System, Sql Optimization, Large Language Models, Snowflake, Generative AI, Fastapi, Machine Learning Operations, Software Version Control, Docker - **Published:** August 8, 2026 - **Apply:** https://www.jobleads.com/es/job/e64555f510d8dea396264caef31573662 ## About the Role * Master's or PhD in Data Science, Mathematics, Computer Science, Engineering or another quantitative discipline. * Proven experience developing production-grade Python applications within a data science, machine learning or quantitative analytics environment. * Demonstrated software engineering fundamentals including object-oriented programming, modular design patterns and version control. * Experience building and deploying analytical, machine learning or AI-driven solutions in a commercial environment. * Advanced SQL skills with experience querying and manipulating large-scale datasets. * Experience working with modern data and engineering platforms such as Snowflake, Airflow, Docker and CI/CD pipelines. * Experience developing or integrating Generative AI, Large Language Model (LLM) or machine learning solutions. * Demonstrated understanding of cloud-based architectures and services, particularly within AWS environments. * Excellent problem-solving, analytical and communication skills, with the ability to work effectively in cross-functional teams., * Industry experience in a computational or quantitative data science role. * Experience developing customer-facing analytics, recommendation engines or AI-powered products. * Knowledge of MLOps practices and model deployment, monitoring and governance frameworks. * Experience working within agile product and engineering environments. * Passion for emerging technologies and a commitment to continuous learning and innovation. ## Description We are on a mission to harness the power of data and artificial intelligence to shape the next generation of financial intelligence solutions. As we continue to expand our Data Science capability, we are seeking a talented and innovative Data Scientist to develop cutting-edge analytical and Generative AI solutions that drive commercial value across our business. Based in Madrid and working within Parameta Solutions, you will play a key role in designing, developing and deploying scalable data products that transform complex financial data into actionable insights. Working closely with Data Engineering, Product, Commercial and Technology teams, you will leverage advanced analytics, cloud technologies and Generative AI capabilities to support the evolution of our data-driven product suite. This is an exciting opportunity to contribute to a rapidly growing function at the forefront of financial data innovation, helping to shape the future of analytics, intelligence and AI-powered solutions across the organisation. Role Responsibilities * Design, develop and maintain robust Python-based applications for financial data analysis, transformation, enrichment and automation. * Build scalable data science solutions that extract actionable insights from large and complex financial datasets. * Develop interactive dashboards, monitoring frameworks and visualisation tools to support strategic and operational decision-making. * Enhance, support and continuously improve existing data applications, data quality frameworks and analytical platforms. * Collaborate with Data Engineers, Product Managers and commercial stakeholders to ensure the scalability, reliability and usability of data products and models. * Apply software engineering best practices, including modular development, code reviews, automated testing, version control and CI/CD methodologies. * Design, develop and maintain Generative AI solutions that enhance internal processes, analytical capabilities and customer-facing products. * Leverage AWS cloud technologies and services to build scalable AI and machine learning applications, making full use of innovative capabilities available through our strategic AWS partnership. * Evaluate emerging AI, machine learning and data science technologies, identifying opportunities to improve products, processes and client outcomes. * Contribute to the ongoing evolution of Parameta Solutions\'s data science and AI capabilities, helping establish best practices and technical standards across the team. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)