Data Scientist

Description du poste:

Drive the design, development, validation and industrialization of Data Science, Machine Learning and Artificial Intelligence solutions that transform business opportunities into scalable, governed and value-generating Data & AI products. Within the central Data & AI Product Unit, the Data Scientist partners with business stakeholders, Data Architects, Data Engineers, Data Domain Owners, Business Product Owners and Data Governance teams to identify high-value AI/ML use cases, build robust analytical solutions, and integrate them into enterprise processes and platforms. The role contributes to the Data & AI transformation agenda by combining statistical rigour, technical excellence, business understanding, Responsible AI principles and production-oriented delivery across traditional AI/ML, Generative AI and Agentic AI initiatives.
Technical Skills Bachelor's or Master's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, Engineering, Physics, Operations Research or another quantitative discipline. Proven experience in Data Science, Machine Learning, predictive analytics or applied AI in complex business and technology environments. Experience bringing analytical or AI solutions beyond experimentation into business adoption or production use is strongly preferred. Strong knowledge of statistics, supervised and unsupervised learning, predictive modelling, optimisation, experimentation and model validation. Advanced programming skills in Python and hands-on use of data science / ML libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch or equivalent. Strong SQL skills and experience working with large-scale data processing, cloud analytics and enterprise data platforms. Experience with model deployment, MLOps practices, CI/CD, Git-based version control, experiment tracking, model monitoring and reproducible development. Familiarity with Generative AI, LLMs, RAG, prompt engineering, agentic patterns and frameworks such as OpenAI APIs, Gemini, LangChain or equivalent is a strong advantage. Soft Skills Strong analytical and problem-solving skills, with the ability to translate complex business challenges into practical AI-driven solutions. Business curiosity and ability to understand processes, KPIs and decision flows before selecting technical solutions. Excellent communication and presentation skills, with the ability to explain complex technical topics to both technical and non-technical stakeholders. Strong collaboration and stakeholder management across multidisciplinary and international teams. Curiosity, innovation mindset and passion for emerging AI technologies, while maintaining rigour, pragmatism and delivery focus. High ownership, accountability and commitment to quality, documentation and continuous improvement