We’re looking for a Data Scientist with experience in Artificial Intelligence solutions to join our AI and Big Data team.
You’ll collaborate on projects in sectors such as aerospace, healthcare, cybersecurity, and transportation, applying advanced machine learning and deep learning techniques.
Want to know more about us? Visit the GMV website.
WHAT CHALLENGES WILL YOU FACE?
Design and develop machine learning, deep learning, and NLP models
Prepare, transform, and analyze large volumes of structured and unstructured data
- ️ Evaluate and integrate AI models into production environments
Participate in technical planning with engineering and business teams
Research new techniques, algorithms, and tools
Document results and produce technical reports
WHAT DO WE NEED ON OUR TEAM?
At least 3 years of experience in data science or applied AI
Strong foundation in statistics, linear algebra, and machine learning
Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn
Proficient in Python and libraries like Pandas, NumPy, Matplotlib
- ️ Knowledge of MLOps and production deployment (Docker, MLflow, etc.)
️ Ability to communicate technical findings to non-technical audiences
Upper-intermediate level of English
We also value knowledge in:
️ Computer vision and Generative AI
- ️ Experience with cloud services (Azure, AWS, or GCP)
Participation in open source projects, publications, or data competitions
WHAT DO WE OFFER?
Hybrid work model with 8 weeks of remote work per year from outside your usual geographic area
Flexible working hours and reduced working hours on Fridays and during summer
A personalized career development plan, training, and language learning support
National and international mobility. Coming from abroad? We offer a relocation package
Competitive salary with regular reviews, flexible compensation, and discounts on top brands
Wellbeing program: health, dental, and accident insurance; free fruit and coffee; training on physical, mental, and financial health—and more!
- ️ In our selection processes, you’ll always have phone and personal (in-person or online) contact with our talent acquisition team. We will never request transfers or bank details. If contacted through any other means, email us at [email protected]
❤️ We promote equal hiring opportunities and are committed to inclusion and diversity
WHAT ARE YOU WAITING FOR? JOIN US
Clara Sánchez Lobato
