Human Resources Innovation Intern: AI, Automation & Data Science
ESP - FERROVIAL - HQ PdV (Madrid), Spain
Ferrovial
Welcome to the Ferrovial's website, global operator of sustainable infrastructure. Here you can find all the information about the company and subsidiaries.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. Listed on three major stock markets: Nasdaq (US), Euronext Amsterdam (Netherlands) and IBEX 35 (Spain), we are also member of the Dow Jones Sustainability Index and FTSE4Good. We operate in more than 15 countries and have a workforce of over 24,000 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.
- Diverse and inclusive culture: Thrive in an innovative and respectful workplace that celebrates cultural diversity and fosters creativity.
- 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:
We are looking for students or recent graduates passionate about technology and innovation to join our team as interns in the HR Systems area to work on initiatives in Artificial Intelligence, Process Automation (RPA), and People Analytics. This scholarship offers a unique opportunity to gain practical experience in developing intelligent solutions that optimize processes and generate value from data.
Responsibilities
Research new technologies and trends in AI, automation, and advanced analytics.
Collaborate in the design, development, and testing of AI and machine learning solutions.
Participate in process automation using RPA tools (such as UiPath).
Support data analysis with a focus on implementing mechanisms to ensure data quality.
Document processes, results, and learnings.
Requirements
Advanced student or recent graduate in Engineering, Computer Science, Mathematics, Statistics, or related fields.
Basic knowledge of Python, SQL, and data science libraries (pandas, scikit-learn, etc.), as well as office applications, Access, and Excel.
Interest in automation and artificial intelligence.
Analytical skills, curiosity, and eagerness to learn.
Intermediate level of English (desirable).
Seize the challenge. Move the world together! Innovative, creative, respectful, and diverse are some of the ways we describe ourselves. We are motivated by challenges, and we collaborate across our business units to move the world together. Your journey to a fulfilling career starts here!
Ferrovial is an equal opportunity employer. We treat all jobs applications equally, regardless of gender, color, race, ethnicity, religion, national origin, age, disability, pregnancy, sexual orientation, gender identity and expression, covered veteran status or protected genetic information (each, a “Protected Class”), or any other protected class in accordance with applicable laws.
#WeAreFerrovial
Tags: Computer Science Copilot Data analysis Data quality Engineering Excel Finance Machine Learning Mathematics Pandas Python Research Robotics RPA Scikit-learn SQL Statistics Testing
Perks/benefits: Career development Health care
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