COFIDIS

About the Company

Expert dans le crédit à distance depuis 1982, Cofidis Group s’est forgé une identité ambitieuse alliant performance, confiance et proximité. Grâce à cette politique, le Groupe a pu exporter son concept dans 9 pays (France, Belgique, Espagne, Portugal, Italie, République Tchèque, Hongrie, Slovaquie et Pologne) et diversifier son activité. Crédit à la consommation, solutions de paiement, assurances, rachat de crédits ou encore d’autres services bancaires ont été élaborés dans le but de couvrir la totalité des besoins des clients. Aujourd’hui, Cofidis Group comprend diverses entités : Cofidis, Monabanq, Creatis, et SynerGie/Holding représentant au total plus de 5700 collaborateurs. Régies sous les mêmes valeurs, ces 4 enseignes entretiennent avec leurs parties prenantes (collaborateurs, clients et partenaires) une véritable relation de proximité avec comme priorité l'excellence relationnelle.

Listed Jobs

Company Name

COFIDIS

Job Title

Alternance - Data Scientist (H/F)

Job Description

**Job Title** Data Scientist – Apprenticeship (H/F) **Role Summary** Assist in the development and deployment of data‑driven solutions across finance services. Work with diverse data sources to build machine learning and natural language processing models that enhance risk, marketing, and customer experience. **Expactations** * Master’s degree in Statistics, Engineering (Data Science track) or equivalent. * Prior internship or significant project in machine learning. * Strong analytical mindset, incident diagnosis, and clear communication. * Passion for innovation, curiosity, and teamwork. **Key Responsibilities** * Extract and preprocess new data sources (open data, web‑tracking analytics, text/comments). * Build, evaluate, and tune machine learning and NLP models. * Contribute to use‑cases such as risk optimization, credit allocation, marketing propensity, churn prediction, and employee experience analysis. * Collaborate with statistical, data science, and external expert teams. * Present findings to senior leadership and data governance committees. **Required Skills** * Proficiency in Python or R for data science and machine learning. * Solid SQL programming skills. * Experience with machine learning libraries (scikit‑learn, TensorFlow, PyTorch, or equivalent). * Familiarity with NLP techniques (tokenization, embeddings, transformers). * Data wrangling, feature engineering, model validation, and deployment best practices. * Strong analytical and problem‑solving abilities. * Excellent verbal and written communication. **Required Education & Certifications** * Master’s degree in Statistics, Data Science, Engineering (Data Science option) or related discipline. * No specific certifications required, but knowledge of relevant data science certifications (e.g., IBM Data Science Professional, Google Cloud Data Engineer) is a plus.

Villeneuve-d’ascq, France

Hybrid

20-02-2026