Senior Data Scientist

Capgemini • Lisboa

Publicado em 09/05/2026 às 12:11

Full-time Informática (Programação)
Salário €****
Descrição da Vaga

CAPGEMINI ENGINEERING
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At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life‑saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities.

Where you can make a difference. Where no two days are the same.

YOUR ROLE
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As a Senior Data Scientist, you will be a key contributor to the design, development, and deployment of advanced analytics and AI solutions, with a strong focus on Google Cloud Platform (GCP) technologies. You will work closely with multidisciplinary teams to transform complex data into actionable insights and scalable, production‑ready models that solve real business challenges.

You can expect a hands‑on and ownership‑driven role where analytical thinking, technical excellence, and collaboration are essential to deliver impactful, data‑driven solutions across multiple industries.

In this role, you will be expected to:

  • Take ownership of data science initiatives, managing projects end‑to‑end from data exploration to production deployment
  • Analyze and interpret complex datasets to extract insights and support strategic decision‑making
  • Collaborate with cross‑functional teams to understand business needs and translate them into analytical and machine learning solutions
  • Design, build, validate, and deploy statistical and machine learning models using GCP services (e.g. BigQuery, Vertex AI, Dataproc)
  • Perform exploratory data analysis, feature engineering, model evaluation, and continuous performance monitoring
  • Work with large‑scale and distributed data processing frameworks in cloud environments
  • Apply CI/CD and MLOps practices to ensure scalable and reliable ML workflows
  • Develop and maintain Power BI dashboards and reports to visualize insights and performance metrics
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