Intern
France (Rue de Javel)
LexisNexis
Provider of legal, government, business and high-tech information sources. Learn more or login to your product now.About the business:
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
About the job:
Mise au point de modèle de data science pour répondre aux demandes produit incluant:
- mise en place des outils de production des corpus de vérité
- choix de l'architecture d'apprentissage et des métriques de mensure de la qualité
- mise au point des modèles
- intégration du modèle dans un service prêt à intégrer
Travail en collaboration avec
- un responsable produit pour la définition des priorités,
- des experts métiers pour la validation de la qualité des services et données produits
- les ingénieurs python pour l'intégration des services dans les produits,
- les ingénieurs DEVOPS pour la mise en production des services
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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Tags: Architecture Banking DevOps Privacy Python
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