> Markdown version of [/jobs/ext/3945887-principal-ai-data-scientist](https://www.wearedevelopers.com/jobs/ext/3945887-principal-ai-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal AI Data Scientist - - **Company:** Groupe Accor - **Location:** Issy-les-Moulineaux, France - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Databases, Continuous Integration, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Chatbots, Pytorch, LangChain, Retrieval-Augmented Generation, Large Language Models, Deep Learning, Generative AI, Kubernetes, Information Technology, Machine Learning Operations - **Published:** October 27, 2026 - **Apply:** https://espace-emploi.agefiph.fr/jobs/22200807 ## About the Role * Master's degree in Engineering, Computer Science, Data Science, or a related field. * Minimum 10 years of experience in Data Science and Machine Learning, including several years working with deep learning, generative AI and LLMs. * Proven track record of designing, deploying and operating Machine Learning and Generative AI solutions, including chatbots, content generation platforms and agentic workflows. * Strong communication and stakeholder management skills, with the ability to explain GenAI concepts, limitations and risks to non-technical audiences and influence strategic decision-making. * Hands-on expertise in Python and modern AI/ML frameworks and technologies, including PyTorch, LangChain, LangGraph and related ecosystems. * Strong knowledge of RAG, vector databases, embeddings and agent orchestration frameworks. * Proven experience with cloud-based MLOps and LLMOps practices (AWS, MLflow, CI/CD, etc.), including LLM evaluation, observability and large-scale monitoring of quality, latency and cost. * Experience within hospitality, travel, retail, or large-scale B2C/B2B environments would be a strong advantage. Additional Information Accor dares to impact: - the world * Accor is committed to the world around us, with a strong employer culture focused on the development of our 300,000 talents. * We adopt a continuous improvement approach to reduce the impact of digital on the environment across all our projects. ## Description * 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.