Finance & Insurance

Senior Data Scientist

In this project you’ll contact with the European stock market area and will be able to work for a leading global trading platform that knows the importance of surveillance issues. Despite its development center being located in Porto and all administrative support in Lisbon, you will be part of a multicultural team that is spread across several European cities.

We are looking for a Senior Data Scientist to work in a project in Porto (hybrid model)


  • Bachelor's or advanced degree in computer science, engineering, mathematics, or a related field;
  • Minimum 5 years of experience in Data Science and Machine Learning;
  • In-depth knowledge of machine learning, deep learning, and generative AI techniques;
  • Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch;
  • Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models;
  • Experience with cloud platforms such as Azure or AWS;
  • Knowledge in data engineering, including data curation, cleaning, and preprocessing;
  • Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models;
  • Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions;
  • Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels;
  • Track record of driving innovation and staying updated with the latest AI research and advancements;
  • Proven experience in leading AI teams, with a track record of successful project delivery and team management;
  • Excellent leadership, communication, and interpersonal skills, with the ability to inspire and motivate team members and collaborate effectively with cross-functional stakeholders;
  • Strategic thinker with a results-oriented mindset and a passion for driving business impact through technological innovation.

We offer

  • Integration in a dynamic, experienced and friendly team;
  • Technical, behavioral and linguistics training opportunities;
  • Career development.