Data Scientist Engineer (M/F)

Job Description:

Location: Brest, France

Building a future of trust together

Thales is a world leader in high technologies specializing in three business sectors: Defense & Security, Aeronautics & Space, and Cyber & Digital. It develops products and solutions that contribute to a safer, more environmentally friendly, and more inclusive world. The Group invests nearly 4.5 billion euros per year in Research & Development, particularly in key innovation areas such as AI, cybersecurity, quantum, cloud technologies, and 6G. Thales has nearly 85,000 employees in 65 countries.

Our commitments, your benefitsSuccess driven by our technological excellence, your experience, and our shared ambitionAn attractive compensation packageContinuous skill development: training courses, academies, and internal communitiesAn inclusive, caring environment that respects employee work-life balance***Recognized societal and environmental commitment

Your daily life

Your daily life

In order to strengthen our teams at our Brest site, we are looking for a Data Scientist Engineer (M/F).

Your missions, in collaboration with the members of the DI DAI team: Accompany our clients in their data valorization projects by proposing innovative and relevant technical solutions,Select, design, implement, and validate data science solutions in various fields (Industry, Space, Defense, Health); Participate in discussions on the lifecycle management of algorithms and data in production,Contribute to the integration and production deployment of developed solutions (containerization, managed services, APIs); Ensure technological monitoring to follow evolutions in all fields of AI (Machine Learning, Deep Learning, Generative AI); Participate in pre-sales actions for our clients (presentation of our offers, qualification of needs); Be proactive and a driver to communicate and share your expertise.

Your Profile

With a minimum of a Master's degree (Bac +5), you possess a great mastery of tools and concepts related to data and artificial intelligence (technical ecosystem and scientific literature, mastery of the functioning and training of AI algorithms) and possess good knowledge in software engineering.

You have the following skills: You master software development languages (Python, Spark, Scala, Java, C/C++); Tensorflow, Keras, PyTorch, ScikitLearn, or Pandas have no secrets for youYou are familiar with the main Generative AI frameworks (Langchain, Ollama, etc.)You have experience on a Cloud platform (Azure/AWS/GCP) and/or on a Data platform (Dataiku, Databricks). Certifications are a plus (GCP / Dataiku). You wish to apply your skills to solve complex problemsYou enjoy transmitting your know-how and accompanying users in taking charge of your innovative solutionsYou enjoy working in a team on a daily basis and know how to interact in "Agile" mode. A good command of English is essential to interact effectively with our teams and partners.

Then this position is made for you!

A word from the team

In the Data & Artificial Intelligence department, we are fully integrating into the fourth industrial revolution driven by the rise of AI and big data. We apply these technological advances to critical domains (Defense, aeronautics, health, industry) which are the DNA of the THALES group, in order to offer our clients trustworthy AI and secure data processing pipelines.

We are looking for enthusiastic employees eager to get involved in data projects with a high level of challenge and requirement, but also capable of following the evolution of new technologies in this rapidly changing field. Sharing is paramount so that everyone can develop their skills.

Thales, a disability-friendly company (Handi-Engagée), recognizes all talents. Diversity is our greatest asset. Apply and join us! As the position may require access to information subject to national defense secrecy, the selected person will undergo a security clearance procedure, in accordance with the provisions of articles R.2311-1 et seq. of the Defense Code and the IGI 1300 SGDSN/PSE of August 09, 2021.