Data Scientist

Description du poste:

Créé en 1999, le Groupe iliad est un acteur majeur des télécommunications en Europe. Opérateur innovant, inventeur de la 1ère box triple-play au monde, iliad est aujourd'hui présent en France, en Italie et en Pologne . Le Groupe compte plus de 18 000 salariés au service de 53 millions d'abonnés. En avril 2024, le Groupe est devenu l'actionnaire de référence du Groupe Tele2, un des opérateurs leaders des marchés suédois et des pays baltes.
Iliad Group is a major European telecom player operating across France, Italy, and Poland, and the parent company of Scaleway, a European cloud provider, playing a growing role in Europe's AI ecosystem by combining cloud, GPUs, and GDPR-compliant AI services. Within the Group, Iliad Italy plays a key role and operates in a highly dynamic and competitive market. The Data team works in close collaboration with both local and Group-level stakeholders, contributing to an inherently international and cross-entity data environment. Role & Opportunity Within this context, you will join a highly business-driven Data team for 6 to 24 months , where Data Scientists are expected to take ownership early and see the direct impact of their work. You will contribute to the development of concrete, scalable, and production-ready data products, fully integrated into operational processes and business decision-making. Going beyond descriptive analysis, your mission includes building predictive models, automated solutions, and data-driven tools that generate measurable business value. The team values short decision loops, pragmatic solutions, and individual accountability, meaning each member has real impact and visibility. This approach enables fast learning, rapid execution, and meaningful ownership within a growing, purpose-driven organization. What you'll do : - Collaborate with Data Engineers, Product Owners, and business stakeholders to identify data-driven opportunities. - Design, develop, and validate predictive models and Machine Learning algorithms to address complex business problems (e.g., churn prediction, customer segmentation, network optimization). - Implement solutions in well-structured, tested, and documented Python code, ready for integration into data pipelines or production systems. - Work in MLOps environments, using tools for experiment tracking (e.g., MLflow), model versioning, and deployment in staging and production. - Contribute to the definition of technical and functional requirements for data products, ensuring scalability, reproducibility, and continuous monitoring. What to expect: - High autonomy and early ownership ; - Fast-paced environment ; - End-to-end responsibility ; - Business and management exposure ; - International group context ; - Production-ready solutions. What you'll gain : - Steep learning curve ; - Strong data expertise ; - High visibility ; - Strong career accelaration ; - Development of transversal and versatile skill sets, combining technical depth with business understanding and project management

Profil requis du candidat:

Qualifications What we are looking for : Aligned with a modern approach to the Data Scientist role, we are seeking candidates with solid technical skills and a builder mindset: you should feel comfortable not only analyzing data but also turning models into operational and scalable solutions. You'll thrive if you have : - Master's degree in a quantitative field (Data Science, Statistics, Mathematics, Engineering, Physics, Quantitative Economics) or equivalent experience. - Familiarity with programming languages for data analysis (Python, R) and SQL. - Basic knowledge of Machine Learning techniques and inferential statistics. - Interest in data engineering and model deployment in production. - Team-oriented attitude and strong willingness to learn. - Technical English proficiency, Italian is a plus. Even better if : - Experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). - Familiarity with real-time data pipelines (e.g., Kafka, Spark Streaming, Flink). - Knowledge of systems for large-scale data processing and serving (e.g., Trino, ClickHouse). - Knowledge of Streamlit. - Experience in regulated environments (telco, finance), with attention to data governance, privacy, and compliance. - Knowledge of French. - Contributions to open-source projects or experience with rigorous code reviews. The Iliad Group is fully committed to its employees through a strict policy of non-discrimination and anti-harassment. All applications are welcome, regardless of background, age, origin, gender, or sexual orientation