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Mid Data Science (M/F)

Closer Consulting

07.06.2025 | | Referência: 2278822


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Empresa:

Closer Consulting


Descrição da Função

Mutual Respect, Empathy, Innovation, and Professional Pride. Do you see yourself within these values?


Founded in 2006 with the mission "To Challenge Complexity", Closer Consulting is a Data Science company specializing in Business Intelligence, Advanced Analytics, and Artificial Intelligence.

Developing projects in the most diverse industries - Banking, Telecommunications, Healthcare, Retail, Energy, Insurance, and Aviation, among others -, we have created an environment where the brightest enquiring minds feel at home, providing our people with the means, opportunities and support they need to thrive and innovate.


We seek a Data Science - willing to accept new challenges in our Closer team in a hybrid model (Lisboa).


Are you the one?


  • Develop and implement data-driven solutions using AI techniques
  • Build medium-complexity models (regression, classification, clustering, ML) on structured "at rest" data
  • Design interactive dashboards and visualizations to present insights
  • Ensure code quality, scalability, and reliability
  • 2-5 years of experience in a similar role
  • Strong knowledge of Python and/or R
  • Proven experience building and applying analytical models
  • Experience with AI components in data solutions is a plus
  • Strong communication skills, with the ability to explain complex results to non-technical audiences


We believe we are the ones to, by:

  • Providing a multidisciplinary Team.
  • Giving a home office kit with everything you need to perform remotely.
  • Ensuring a career plan alongside professional growth.
  • Providing you with a custom training plan.
  • Helping you reach happiness.


Oh and by the way, we also have:

  • Several challenging complex projects.
  • Stimulating teams and leaders.
  • World-class Clients and Partners.


If you believe in this match as much as we do, send us your CV to and reach the closer side of life.


Observações

Not Specified (Portugal)





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