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Salary
≈ $45k – $77k per year (Estimated)
Location
Hybrid (Nanterre, France)
Employment
Contractor

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Jul 16, 2026. AXA France scores B on the Alion truth index.

Overview
Company
Impact
Profile match
AXA France is the French arm of the AXA insurance group, headquartered in Nanterre near Paris, selling car, home, health, protection, savings, retirement and banking products to individuals, professionals and businesses. It operates through a nationwide network of agents and advisers and offices around the Paris region, including Nanterre, Suresnes, Fontenay-sous-Bois and Malakoff, while the job board also carries roles for other AXA entities such as AXA Health. It hires actuaries, data scientists and analysts, risk analysts, claims lawyers, procurement specialists, project managers and recovery technicians, with many internships and apprenticeships.

Rejoignez AXA France, un leader mondial de l'assurance et de la gestion d'actifs. En tant que Data Scientist, vous serez responsable de la mise à jour, de l'enrichissement et de la diffusion de la mesure de la qualité de service et de la satisfaction client. Vous travaillerez en étroite collaboration avec les directions opérationnelles et aurez un impact direct sur l'amélioration de l'expérience client.

Missions

  • Assurer la mise à jour, l’enrichissement et la diffusion de la mesure de la qualité de service et de la satisfaction client.
  • Migrer des macros Excel/Access vers Python/Databricks dans un datalab dédié et optimiser le Power BI unifié.
  • Coordonner avec les directions opérationnelles pour la création de nouveaux indicateurs et accompagner les équipes opérationnelles.

Profil recherché

De formation supérieure en école d’ingénieur et/ou université, vous possédez une spécialisation en data science, analyse de données, informatiques et/ou statistiques.

Compétences techniques

  • Maitrise des langages de programmation en analyse de données (Python) et de l’écosystème PySpark/SQL ;
  • Maitrise d’outils de visualisation tels que Power Bi.

Compétences transverses

  • Rigueur et capacités d’analyses ;
  • Compétences relationnelles autour de la gestion de projets (capacités de vulgarisation auprès de référents et de collaboration aux profils variés, capacités d’argumentation)
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