Data Scientist

We are looking for an experienced Data Scientist to join our team at JTA. In this role, you'll be instrumental in shaping our Data Science & AI department, taking an important part in the R&D of cutting-edge solutions, while contributing across the broader ML and software engineering stack. You’ll work on end-to-end delivery of ML systems, collaborate closely with business and tech stakeholders, and play an active role in mentoring others and evolving our best practices.

What you will be doing:

• Contribute to the vision and growth of JTA’s Data Science & AI department.
• Work across a diverse set of solutions, from GenAI and LLMs to sequential recommendation models, covering classic NLP tasks as well.
• Collaborate with product and business stakeholders to translate strategic goals into ML solutions.
• Have a strong impact on R&D of new technologies, taking advantage of JTA’s clients large databases to proactively propose and conceptualize new solutions.
• Explore, research, and prototype new ideas to help bridge the gap between academia and industry, driving forward the R&D of innovative ML approaches.
• Participate in the full lifecycle of ML systems—from ideation to deployment, monitoring, and iteration.
• Actively participate in system design, architecture discussions, and code reviews, ensuring production-grade standards and scalability.
• Support and mentor junior team members, helping to grow their technical capabilities and career paths.
• Ensure integration of ML pipelines within existing CI/CD workflows, in close collaboration with DevOps and Data Engineering teams.

Requirements:

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 3+ years of experience working in Machine Learning (or a balance of Computer Science and Machine Learning), with a strong foundation in Python.
• Proven experience working with LLMs and/or other GenAI models in production or applied R&D settings.
• Solid understanding of the full ML lifecycle and how to bring models into production at scale.
• Strong software engineering skills: writing clean, modular, tested, and maintainable code.
• Comfort working with version control, CI/CD, containerization, and cloud platforms.
• Balance of theoretical ML knowledge and hands-on implementation.
• Ability to work cross-functionally with other technical teams and communicate effectively with non-technical stakeholders.

Perks:

• Flexible Hybrid Work System;
• 15th Month Bonus Salary Policy;
• 4 extra vacation days;
• Participation in International Projects;
• Company-Paid Certifications;
• Training, career progression and support;
• Team Building Activities,
• Innovative & Young Culture.

Location:

• We’re based in Porto, Portugal. Although there is the possibility of remote working, we are only considering people located in Portugal.