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Capgemini

Global consulting, technology services, outsourcing

Senior Data Scientist Defense

Applied Machine LearningUpdated on Nov 14
Part-timeNo salary listed

About the Job

Requirements

  • A successfully completed degree in Physics, Data Science, Mathematics, Computer Science, or a comparable field; a doctorate is welcome.
  • Relevant experience processing large, heterogeneous datasets and architecting and developing data-driven solutions for mission- and decision-critical use cases, ideally in defense or security-critical environments.
  • Ability to work in defense and security-critical environments with high requirements for information security, traceability, compliance, and governance, and to make well-founded technology decisions for scalable, modular architectures.
  • Strong knowledge of data science and artificial intelligence, especially statistics, probability, linear algebra, and mathematical modeling.
  • Experience preparing, extracting features from, and analyzing structured and unstructured data, including assessing data quality, bias, and robustness.
  • Practical experience designing, training, evaluating, and applying models, particularly in computer vision and natural language processing; geospatial analysis experience is desirable.
  • Proficiency with relevant technologies and frameworks including Python, Spark, SQL, TensorFlow or PyTorch, OpenCV, GIS systems, and Kubernetes, in on-premises and cloud environments such as StackIT, AWS, Azure, or GCP.
  • Experience in consulting or comparable customer-facing roles, ability to communicate complex matters clearly to subject-matter experts and decision-makers, and willingness to work closely with customers.
  • Very good German and English skills.

Responsibilities

  • Advise customers from the armed forces, public authorities, and defense industry on developing data and AI solutions; collaborate with stakeholders to analyze, define, and assess requirements for AI use cases and support the development of modern defense capabilities.
  • Analyze large and complex datasets to generate insights for intelligent, interconnected, security-critical systems and derive well-founded decision support.
  • Design, develop, and implement data science, machine learning, and AI solutions, for example in computer vision, natural language processing, or geospatial analysis, for complex defense platforms.
  • Design scalable architectures and end-to-end data pipelines, make architecture decisions, and ensure high standards for data governance, data quality, integrity, and information security in security-critical environments.
  • Continuously develop professional and methodological competencies, contribute innovative approaches in data science and artificial intelligence, communicate complex matters appropriately to the audience, and support knowledge sharing inside and outside the company.

Desired Qualifications

  • Experience in a defense or security-critical environment.
  • Experience with geospatial analysis.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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