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Thales

Global defense and aerospace electronics

Ingénieur Data Scientist-H/F

Applied Machine LearningUpdated on Nov 13
Full-timeCannes, FranceNo salary listedIn-person

About the Job

Requirements

  • Hold an engineering-school degree in computing or equivalent Bac+5, with a specialization in Data Science, Artificial Intelligence, or Machine Learning.
  • Have more than 10 years of experience in Data Science.
  • Be proficient in Python, major machine-learning and deep-learning frameworks (Scikit-learn, PyTorch, TensorFlow), and generative AI techniques (RAG and agentic orchestration).
  • Have experience designing, training, optimizing, and industrializing AI models, ideally in an industrial environment.
  • Be able to converse fluently in English and write technical documents.
  • Work effectively with business and technical stakeholders.

Responsibilities

  • Gather and analyze user needs and translate them into appropriate technical solutions.
  • Design, train, and optimize machine-learning models for applications including computer vision, time series, anomaly detection, and multimodal data.
  • Develop generative AI applications to automate and improve business processes.
  • Evaluate, validate, and monitor models to ensure their performance and suitability for project needs.
  • Collaborate with development teams to integrate and industrialize data and AI solutions, apply production best practices, and provide technical documentation.
  • Monitor technology developments, contribute to the service roadmap, and participate in responses to Data Science and AI tenders.

Desired Qualifications

  • Experience in the space sector.

About the Company

Thales

Global defense and aerospace electronics

Thales designs and delivers critical technology for aerospace, defense, and digital security. Its products include electronics, software, and data-security systems that power air travel, payments, and modern military platforms, by integrating hardware and software to build systems such as avionics, radar, cybersecurity, and secure communications that collect sensor data and protect networks. It stands out through deep industrial experience, end-to-end solutions across defense, aerospace, and cybersecurity, and a focus on AI and quantum tech, aided by strategic acquisitions and partial state ownership. Its goal is to provide reliable, secure, and connected technologies that support national security, public safety, and everyday life by solving complex security and connectivity challenges.

Company size
10,001+
Company stage
IPO
Headquarters
Meudon, France
Founded
1893

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