Join Ferrovial: Where Innovation Meets Opportunity Are you ready to elevate your career with a global leader in infrastructure solving complex problems and generating a positive outcome on people’s lives? At Ferrovial, we are not just a company; we are a community of innovators and trailblazers. Ferrovial is also leading the development of the New Terminal One at JFK International Airport. Ferrovial shares trade under the ticker symbol FER on two stock markets: Nasdaq in the U.
S. (Nasdaq100 Index) and the Spanish Stock Exchanges (IBEX 35). Ferrovial is included in globally recognized sustainability indices such as the Dow Jones Best-in-Class Index. We operate in more than 15 countries and have a workforce of over 22,000 professionals worldwide. Ferrovial’s activity is carried out through our business units, including Highways, Airports, Construction, and Energy. Our Corporate organization oversees business activities, providing strategic planning, communication, legal, finance and human resources services to the business units. As a member of our corporate organization, you will have a broad view of our company, further supporting your career development.

Why Ferrovial?

Global presence, local impact: Be part of a company that is shaping the future of infrastructure worldwide, with challenging roles and projects that make a real difference.

Collaborative excellence: Work alongside talented professionals in a collaborative environment where your ideas and contributions are valued.

Inclusive Culture: Thrive in an innovative and respectful workplace that values every voice, celebrates what makes us unique and turns differences into innovation.

Career growth: Benefit from global and cross-business unit mobility, with development processes designed to ensure your professional growth.





Compelling benefits and employee wellbeing: Enjoy a comprehensive benefits package that rewards your hard work and dedication and take advantage of initiatives designed to support your physical and psychological health.

Productivity tools: Utilize cutting-edge tools like Microsoft Copilot to enhance your productivity and efficiency.

Job Description

About the role

We are looking for a Data Scientist – Product Builder to join our Artificial Intelligence Center of Excellence within the Digital Hub. This is a role for someone who turns business problems into working data products, end to end. You will partner with our business areas (Construction, Highways, Airports, Energy, Digital Infrastructures and Headquarters) to understand what really matters, dig deep into the data to find the answer, and then build the product that puts that answer in the hands of the people who need it. What makes this role different is how you build. You will rely fully on agentic coding, working with AI coding agents as your main development partners to go from data analysis to a deployed, production-ready product in a fraction of the traditional time. You will not hand over a notebook and wait for someone else to turn it into a product: you own the problem, the analysis, the product and its adoption. The idóneo candidate has spent a great deal of time working with real,



messy business data, has a solid foundation in statistics, and combines business judgement with a strong sense of ownership and a builder's mindset.

Key Responsibilities

- Work closely with business stakeholders to frame business problems, identify the questions that matter and translate them into clear objectives and measurable success metrics.
- Own projects from start to finish: problem definition, data exploration, analysis, modelling, product build, deployment, adoption and continuous improvement.
- Carry out in-depth exploratory and statistical analysis on large and heterogeneous datasets (operational, financial, asset, sensor or geospatial data) to uncover insights and support decision-making.
- Apply sound statistical methods, such as hypothesis testing, experimental design, regression, time-series analysis, causal inference and uncertainty quantification, choosing the simplest approach that answers the business question.
- Develop predictive and prescriptive models (machine learning, forecasting, optimisation) when they add real value, validate them rigorously, and manage their lifecycle with MLflow (experiment tracking, model registry and versioning).
- Use agentic coding as the core way of working, orchestrating AI coding agents to design, write, test, refactor and document code, and to build complete data products with a FastAPI back end and a Vue front end.
- Review, validate and take full responsibility for agent-generated code, ensuring its quality, security, test coverage and maintainability.
- Deploy and maintain products in containerised environments (Docker and Kubernetes), following good engineering practices such as version control, CI/CD and monitoring.

📌 Data Scientist – Product Builder (Madrid)
🏢 Ferrovial Construction
📍 Madrid