Data Scientist (Lisbon / On-site)

We're fast learners, hard workers, natural collaborators... and we Make Modern Happen!

Our ambition is to unlock the potential of our digital world so that organisations everywhere can innovate and thrive securely. We aim to achieve this goal by bringing together the world’s most talented people and the most powerful technologies, combining them to address our customers' challenges and to build something stronger together.

If you share our vision, join us!

Right now, we are looking for a Data Scientist for a client on our Talent Team.

Your responsibilities include:

• Support the development and deployment of machine learning models for business optimization
  
• Design and develop LLM applications for business use cases
  
• Conduct Exploratory Data Analysis (EDA) on large datasets to uncover trends, patterns, and validate hypotheses that inform business strategies
  
• Build dashboards to track metrics and communicate insights effectively
  
• Research and experiment with emerging AI trends (Deep Learning, LLMs) to propose innovative solutions
  

You must have:

• Master's degree in Engineering (Computer Science, Electrical, Mechanical, Aerospace, Biomedical, etc.), Physics, Data Science, Statistics, Mathematics, or related quantitative field
  
• At least 1-2 years of experience in dedicated data science / machine learning roles.
  
• Proven track record of building and deploying machine learning models in production environments.
  
• Strong foundation in machine learning with practical deep learning experience through coursework, thesis, projects, internships, or academic research
  
• Experience with at least one deep learning domain (Computer Vision, NLP, audio processing, etc.)
  
• Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras, or similar)
  
• Familiarity with traditional ML libraries (scikit-learn, XGBoost) and data visualization tools
  
• Knowledge of LLMs and prompt engineering/fine-tuning is a significant plus
  
• Strong analytical and problem-solving abilities with attention to detail
  
• Clear communication skills to explain technical concepts to diverse audiences
  
• Proactive mindset with eagerness to learn, grow, and tackle new challenges
  
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams;
  
• A critical mindset, curiosity, and a strong commitment to continuous improvement.
  

We offer:

• Integration into a dynamic and motivated team for the performance of the role.
  
• Additional training.
  
• Salary package according to the role performed.
  
• Professional development.
  

Workplace: OnSite - Lisbon

Claranet, Make modern happen!