Data Scientist (Lisbon / On -Site)

Claranet; Lisboa; Híbrido; EUR 42 000 - 56 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Additional training

Salary package according to the role

Resumo da oferta

Claranet is seeking a Data Scientist to join the Talent Team and contribute to the development, deployment and monitoring of ML models for business optimization. You will design LLM-based solutions, perform EDA on large datasets, build dashboards, and communicate insights to stakeholders.

The role requires a Master's in Engineering or related field and 1–2 years of production ML experience, with strong Python and DL framework skills. Join a dynamic team in Lisbon to innovate securely.

Qualificações

• Master's degree in Engineering or related quantitative field.
• 1–2 years of dedicated data science experience in production ML.
• Proven track record deploying ML models to production.
• Strong ML foundation with deep learning experience.
• Experience with at least one DL domain (CV/NLP/audio).
• Proficiency in Python and DL frameworks; familiarity with ML libraries.

Responsabilidades

• Support development and deployment of ML models for business optimization.
• Design and develop LLM applications for business use cases.
• Conduct EDA on large datasets to reveal trends and validate hypotheses.
• Build dashboards to track metrics and communicate insights.
• Research emerging AI trends to propose innovative solutions.

Conhecimentos

Python

Strong analytical skills

Team collaboration

Problem solving

Communication

Proactive learning

Formação académica

Master's degree in Engineering

Ferramentas

TensorFlow

PyTorch

Keras

scikit-learn

XGBoost

LLMs

Prompt engineering

Data visualization tools

Descrição da oferta de emprego

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.

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.