Senior Data Scientist

EDP • Lisboa

Publicado em 19/05/2026 às 20:15

Full-time Informática (Gestão de Redes)
Salário €****
Descrição da Vaga

Country/Region: PT
City: Lisbon
Business Platform: Client Solutions
We are EDP, a global energy company present in around 29 markets with a particular emphasis on renewable energies. With more than 45 years of experience, we have been consolidating a relevant presence on the world energy scene based on the commitment to be all-green by 2030, leading the energy transition. With more than 13,000 employees around the world, we are committed to using our energy and heart to drive a better tomorrow.

As a Senior Data Scientist, you will be responsible for gaining a deep understanding of the business, its processes and operational dynamics, in order to identify improvement opportunities and turn them into useful, practical AI solutions with a high level of adoption.

What you will do:

  • The ability to understand and challenge the business through advanced AI solutions.
  • Analytical thinking.
  • Business oriented functional design.
  • Technical development when required.
  • Support throughout adoption and change.
  • The solutions to be designed may range from simple functionalities integrated into existing systems or developed using no code/low code platforms, to advanced AI models when the use case requires it.
  • Your objective will be to maximise value capture and minimise support and maintenance needs, always ensuring clarity, scalability and usefulness for business teams.

Employment type: Full-Time
Work site: Hybrid

What are we looking for:

  • Degree in Engineering, Management or related fields.
  • 3-5 years of experience in Data Science / ML Engineering.
  • Proven ability to translate business needs into clearly designed functional solutions.
  • Experience evaluating technological and non technological alternatives to solve business problems.
  • Some experience leading initiatives from business discovery through to deployment.
  • Experience with GPT/NLP, generative models and Agent based architectures.
  • MLOps, CI/CD, Azure ML, Databricks.
  • Experience working in multidisciplinary teams and in direct contact with business stakeholders.
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