EU remote
Principal AI Data Scientist - F/M/X
About this role
Accor Tech & Digital is the innovation and technological transformation lab of the world leader in hospitality. Our teams, known as Heartists®, bring together the best of hospitality with the best of tech and digital. Our ambition is to provide our customers with personalized, memorable, and sustainable experiences. Here, we create new ways to travel within each of our 5,500 hotels, connecting closely with our 100 million clients in 110 countries.
Here, we are at the heart of an incredible playground for technological transition and the design of digital products and services for our customers and hotel teams. Here, your scope will know no boundaries; So join us and dare to make an impact on the world! This is where your greatest challenge awaits: Reporting to the SVP of Data Science & AI , you will join a team at the heart of the Accor Group’s transformation through data and artificial intelligence.
Within the Data department, the Data Science & AI vertical aims to define and implement the Group’s AI vision , to scale up the use of ML, GenAI and Agentic AI, and to maximise the business impact of these technologies on the customer experience, hotel operations and internal teams. As a senior technical leader , you will drive the design, development and deployment of machine learning, generative AI and agentic AI solutions, as well as LLM-based platforms, enabling high-impact business capabilities and services.
Your Mission Deliver end-to-end AI initiatives, from problem framing and model selection to experimentation, deployment and continuous improvement. Design and implement LLM-based solutions, including conversational assistants, agentic workflows and other advanced AI applications. Define and lead Accor’s AI architecture, ensuring scalability, flexibility and alignment with emerging technologies and industry best practices.
Establish and promote best practices in prompt engineering, model evaluation, MLOps and technical documentation. Collaborate closely with Data, Platform and Product teams to industrialize AI solutions that are reliable, scalable, performant and effectively monitored. Mentor and support the broader Data & Engineering community on AI architectures, reusable components and software engineering best practices. Drive technology watch activities and lead POCs to evaluate new models, tools and frameworks.