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!