Ofertes d'ocupació de Científic/a de Dades a Madrid

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada11 d’oct.

. Python Agile TSQL Docker Cloud Coumputing AWS Machine Learning

Role Overview

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' data science and AI capabilities, helping establish best practices and technical standards across the team.

Experience / Competences

Essential

• 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.

Desired

• 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.

Job Band & Level

• Professional / 5

#PARAMETA

About TP ICAP Group

The TP ICAP Group is a world leading provider of market infrastructure. Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions. Through our people and technology, we connect clients to superior liquidity and data solutions. The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world’s leading provider of OTC data, and an award winning all-to-all trading platform. Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,300 people strong. We work as one to achieve our vision of being the world’s most trusted, innovative, liquidity and data solutions specialist.

About Parameta Solutions

Parameta Solutions is the Data & Analytics division of TP ICAP Group. The business provides clients with unbiased OTC content and proprietary data, in-depth insights across price discovery, risk management, benchmark and indices, and pre and post-trade analytics. Its post-trade solutions offering helps market participants control their counterparty and regulatory risks through a growing range of tools that manage balance-sheet exposure, as well as compression and optimisation services. The Data & Analytics division includes the following brands: Tullett Prebon Information, PVM Data Services, ICAP Information and Burton-Taylor Consulting.

Not The Perfect Fit?

Concerned that you may not meet the criteria precisely? At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don't hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us.

Company Statement

We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement.

Location

Spain - Paseo de la Castellana - Madrid

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada8 d’oct.

Teletreball . Machine Learning

📍 Ubicación: España

🏢 Modalidad: remoto

💼 Posición: Responsable Data Science

🧩 Experiencia: Senior / Lead

📅 Proyecto: Entorno Data & Analytics con modelos productivos

🎯 Misión

Buscamos un/a Responsable Data Science para liderar técnicamente la ejecución de proyectos de Data Science, garantizando la calidad de los desarrollos, el cumplimiento de plazos y una coordinación fluida entre Negocio, Data Science e IT.

La persona será responsable de asegurar que los modelos y soluciones desarrollados por el equipo lleguen a producción con los niveles adecuados de calidad, estabilidad, documentación y mantenibilidad.

🧩 Responsabilidades

• Actuar como interlocutor/a principal con Negocio e IT.
• Liderar reuniones de seguimiento y comunicar avances, resultados, riesgos y dependencias.
• Gestionar expectativas y alcance de los proyectos.
• Coordinar con las áreas de Producción, Seguridad, Producto y resto de IT los aspectos técnicos necesarios.
• Definir y realizar el seguimiento de planes de trabajo, cronogramas y deadlines.
• Liderar técnicamente al equipo de Data Science.
• Validar los algoritmos y soluciones analíticas desarrollados.
• Supervisar la calidad del tratamiento y procesamiento de datos.
• Garantizar el cumplimiento de metodologías y estándares de desarrollo.
• Velar por la calidad y estabilidad del código desplegado en producción.
• Asegurar que los proyectos dispongan de una documentación técnica completa, estructurada y actualizada.
• Coordinar el soporte y mantenimiento de los proyectos productivos.
• Gestionar y coordinar la resolución de incidencias de los proyectos bajo responsabilidad del squad.

🛠️ Requisitos imprescindibles

• Experiencia sólida en Data Science y Machine Learning.
• Experiencia trabajando con modelos productivos.
• Experiencia liderando técnicamente proyectos de Data Science.
• Capacidad para interlocutar con Negocio y áreas técnicas de IT.
• Experiencia coordinando equipos o squads técnicos.
• Conocimientos sólidos de tratamiento y calidad del dato.
• Experiencia en entornos productivos y gestión de incidencias.
• Capacidad para trabajar con metodologías y estándares de desarrollo.
• Buenas habilidades de comunicación, organización y gestión de expectativas.