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Location
In office (Nanterre)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026. Vinci scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Vinci is a French concessions, energy and construction group headquartered in Nanterre, France, whose origins go back to the Société Générale d'Entreprises founded in 1899. Its concessions arm operates motorways through VINCI Autoroutes and more than 70 airports through VINCI Airports, while VINCI Energies and Cobra IS deliver electrical, energy and industrial engineering work. VINCI Construction and Eurovia build roads, buildings, rail and civil engineering works, and the group employs over 280,000 people in more than 120 countries.

In a constantly changing world, VINCI Energies is accelerating the ecological transition by driving two major transformations: digital and energy. Attuned to its markets and integrating tailored multi-technical solutions, VINCI Energies supports its customers in deploying technologies that benefit people and the planet, from design and implementation through to operation and maintenance.

Secure System is a subsidiary of VINCI Energies, specialising in physical and digital security solutions. It protects sensitive sites and critical infrastructure in France and internationally. Its expertise combines electronic security systems, secure IT infrastructure, networks and cybersecurity. It develops proprietary software for access control, visitor management and centralised security supervision.

As both a software developer and systems integrator, it delivers tailored turnkey solutions and ongoing maintenance services.

The mission

Secure System is looking for a Data Scientist to contribute to a key initiative in the Defense, space and naval industry.

The goal is to use AI and generative AI to improve at first how companies answer to tenders in the defense and naval industry and second, after scaling the project, become a leader to identify new AI use cases in the defense and space industry - making them more efficient, resilient, and sustainable.

This role sits at the intersection of data science, engineering design, and business strategy, combining advanced technical expertise with direct exposure to real-world construction challenges and decision-making in the construction sector.

Main missions:

1. Datascientist:

o Become the key part of an AI solution featuring machine learning and deep learning, including sub-missions like:

§ Design, train, and validate algorithms to optimize the pipeline network

§ Industrialize the solution

o Benefit from the AI program ecosystem with the support of experienced data scientists and developers

o Maintain / Follow the industrialization of the projects and Its scalability

2. Business:

o Become an expert in agentic AI, and a pivot between AI team and experts teams

o Build white papers, and help to commercialize the AI solutions

You’ll help Secure System to develop impactful AI projects and coordinate the emerging AI community worldwide

The expected profile:

- Master’s degree quantitative discipline (e.g., statistics, mathematics, physics or any related field)

- Proficiency in Python

- Experiences in machine learning, reinforcement learning, and optimization

- Entrepreneurial, curious and innovation-oriented mindset

- Autonomous, creative, interested in VINCI's businesses, innovation and new technologies

- Strong work capacity

- Diplomat and dynamic, able to interact with top managers

- Ability to speak publicly and to promote a product

- Excellent sense and relational ease

It would be ideal if the profile had:

- Industrialization skills (Azure, GCP, AWS)

- Entrepreneurial experiences

Joining Secure Systems & Services means joining a human-sized company committed to large-scale projects, at the heart of the major challenges of Security, with the strength of the VINCI Group. You will work in an agile team, as close as possible to operations, with a concrete role in the transformation of the business lines and a direct impact on project performance.

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