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Salary
$45k – $50k per year
Location
Hybrid (France)
Employment
Freelance

First seen by Alion on Aug 31, 2026.

Overview
Company
Impact
Profile match
Storm Group is a French IT services company serving banking, insurance and finance clients with technology projects and digital transformation.

Dans le cadre d'un projet stratégique autour de la Data Science et de l'Intelligence Artificielle, notre client recherche un Data Scientist confirmé capable d'intervenir de manière autonome sur des problématiques de machine learning appliquées à des enjeux métier.

Le consultant intégrera un environnement technique exigeant, en collaboration étroite avec les équipes métiers. Il interviendra notamment sur :

▪  La conception et le développement de pipelines de machine learning / deep learning répondant aux cas d'usage métier (scoring, prédiction, classification, détection d'anomalies)

▪  L'exploration et la préparation des données, le feature engineering

▪  La comparaison de différentes architectures et approches afin d'identifier les modèles les plus adaptés

▪  La conception de métriques d'évaluation adaptées aux cas d'usage, l'analyse des performances et la caractérisation des erreurs

▪  La mise en place de mécanismes de score de confiance et de gestion de l'incertitude

▪  L'industrialisation des modèles en environnement conteneurisé et le suivi des expérimentations (MLOps)

▪  La restitution des travaux auprès d'interlocuteurs techniques et métiers

Profil recherché

Profil recherché :

▪  Bac+5 (Master 2, école d'ingénieur) ou doctorat en data science, machine learning, statistiques ou équivalent

▪  Très bonne maîtrise de Python et de l'écosystème data science

▪  Solides compétences en machine learning et deep learning

▪  Maîtrise des méthodologies d'évaluation : métriques par tâche, analyse des erreurs, calibration

▪  Maîtrise des bonnes pratiques de développement : Git, code reproductible, versioning, documentation

▪  Capacité à travailler de manière autonome, rigoureuse et structurée

Technologies utilisées :

Python · pandas · scikit-learn · XGBoost / LightGBM · PyTorch / TensorFlow · MLflow · Docker / Kubernetes · SQL · Notebooks (Jupyter) · Git · Dataiku / Databricks

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