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La Banque de France recherche des ANALYSTES DATA SCIENCE ET STATISTIQUES (H/F) pour renforcer ses équipes.

AWS, GCP, NVIDIA, Apache Spark) - Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML (CI/CD, Orchestration) - Experience of Visualisation (Power BI, Plotly, Streamlit or similar) - Experience with various enterprise-level App

ACTIVITES • Sensibilisation de la communauté aux enjeux de la science ouverte • Participer à l'organisation des événements d'information et de sensibilisation à la science ouverte (Semaine des do

GPT, BERT, T5) - Knowledge of tokenization, embeddings, and pre-training/fine-tuning paradigms - Building NLP pipelines for text classification, summarization, and entity recognition - Familiarity with Knowledge Graphs and Semantic Search - Building and integrating knowledge graphs for structured in

Votre équipe de rattachement sera celle du programme " Industry 4.Gypse, vous aurez des interactions fréquentes avec les équipes procédés et qualités des usines concernées ainsi qu'avec les centres de recherche du Groupe.La première étape du stage consistera à réaliser un état des lieux

Notre Business Unit Luxe, Retail, Medias et Life Science basée à Boulogne-Billancourt accompagne ses partenaires grands comptes sur la digitalisation de l'expérience client, les digital workplaces ou les smart services.

L'opportunité En travaillant dans une équipe en croissance sur les différents métiers Data & Analytics et Innovation, vous participez au développement des missions à forte valeur ajoutée auprès de nos clients (gestion de la donnée, processus de transformation, définition de moyen

La Banque de France recherche des analystes data science et statistiques (h/f) pour renforcer ses équipes.

Concrètement ce sont:4 lignes métiers d’AXA Partners France, à savoir : l’assistance Habitation, l’ass

Formation recherchée : École d'ingénieur ou cursus universitaire spécialisé en science des données ou informatique.

Who You AreVous préparez actuellement un Master en commerce, sciences ou pharmacie, avec un fort intér&eci

Le Pôle PRIAM (Pôle des Relations IA avec les Métiers, rattaché à la DGSEI) a participé au lancement de la Société de la Data Science appliquée à l'Economie, structure flexible regroupant des économistes et des data scientistes d'institutions publiques, privées et académiques

We are currently seeking Editorial Board Members for.We are seeking experienced researchers and scientists to join us as Editorial Board Members for the journal,.Actively contribute to the development and growth of the journal by providing valuable scholarly input, including the selection of topics,

Tech/MSc in Data Science, Computer Science, Statistics, or related fields. We’re now expanding into the Data Science.

Fondé en 2003, Horus Pharma est devenu un acteur majeur de l’ophtalmologie en France et Europe.Grâce à une forte dynamique d’innovation, la société commercialise aujourd’hui un portefeuille large de plus de 50 produits et compte plus de 200 collaborateurs.Depuis 2015, Horus Pharma a amorc

We are currently seeking Editorial Board Members for.We are seeking experienced researchers and scientists to join us as Editorial Board Members for the journal,.Actively contribute to the development and growth of the journal by providing valuable scholarly input, including the selection of topics,

The Vice President of Drug Discovery, Neuroscience will provide scientific, strategic, and operational leadership across the company’s neuroscience discovery portfolio. Significant industry experience in neuroscience drug discovery, with a strong track record of advancing programmes into preclinic

Manager Conseil en Data-Science & Intelligence Artificielle H/F. Vous participerez au développement des activités Data Science. De participer à la fabrication & commercialisation de nos offres en Data-Science (IA Conversationnelle, Data4ESG, Predictive Cockpit, Expérimentation & Industrialisatio

You will provide strategic and hands-on leadership across biology, medicinal chemistry and preclinical sciences, ensuring robust, mechanism-driven decision making and strong translational relevance. High-impact position in a science-driven, collaborative Paris-based environment.

CSRO ( Chief Science and Research Officer ). CSRO (Chief Science and Research Officer),. PhD (completed or in the final year) in Machine Learning, Applied Mathematics, Computer Science, Electrical Engineering, or related field.

Tech/MSc in Data Science, Computer Science, Statistics, or related fields. We’re now expanding into the Data Science.

AWS, GCP, NVIDIA, Apache Spark)- Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML (CI/CD, Orchestration)- Experience of Visualisation (Power BI, Plotly, Streamlit or similar)- Experience with various enterprise-level Applic

ISFA, EURIA, ISUP, ENSAE, Dauphine) ou d'une école d'ingénieur avec spécialisation en data science.

GPT, BERT, T5)- Knowledge of tokenization, embeddings, and pre-training/fine-tuning paradigms- Building NLP pipelines for text classification, summarization, and entity recognition- Familiarity with Knowledge Graphs and Semantic Search- Building and integrating knowledge graphs for structured inform

ISFA, EURIA, ISUP, ENSAE, Dauphine) ou d'une école d'ingénieur avec spécialisation en data science.

GPT, BERT, T5)- Knowledge of tokenization, embeddings, and pre-training/fine-tuning paradigms- Building NLP pipelines for text classification, summarization, and entity recognition- Familiarity with Knowledge Graphs and Semantic Search- Building and integrating knowledge graphs for structured inform

AWS, GCP, NVIDIA, Apache Spark)- Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML (CI/CD, Orchestration)- Experience of Visualisation (Power BI, Plotly, Streamlit or similar)- Experience with various enterprise-level Applic

GPT, BERT, T5)Knowledge of tokenization, embeddings, and pre-training/fine-tuning paradigmsBuilding NLP pipelines for text classification, summarization, and entity recognitionFamiliarity with Knowledge Graphs and Semantic SearchBuilding and integrating knowledge graphs for structured information re

GPT, BERT, T5)Knowledge of tokenization, embeddings, and pre-training/fine-tuning paradigmsBuilding NLP pipelines for text classification, summarization, and entity recognitionFamiliarity with Knowledge Graphs and Semantic SearchBuilding and integrating knowledge graphs for structured information re

AWS, GCP, NVIDIA, Apache Spark)Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML (CI/CD, Orchestration)Experience of Visualisation (Power BI, Plotly, Streamlit or similar)Experience with various enterprise-level Application

Master's Degree in mathematics, computer science, engineering, physics, statistics, data science, computational sciences or a related quantitative discipline OR PhD + 3 years of with relevant work & domain experience. At least 8 years' experience in Data science and proven track record of leading a

Experience developing deployable code and deploying models in product-focused development under an agile environment Experience in production-ready software development Experience with content generation using Large Language Models (LLM) is desired Fine-tuning models to combine retrieval resul

Bring the miracles of science to life alongside a supportive, future-focused team. Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. Ready to chase the miracles of science and improve people's lives? Let's Pursue Progress and Discover

Experience developing deployable code and deploying models in product-focused development under an agile environment Experience in production-ready software development Experience with content generation using Large Language Models (LLM) is desired Fine-tuning models to combine retrieval resul

Experience developing deployable code and deploying models in product-focused development under an agile environment Experience in production-ready software development Experience with content generation using Large Language Models (LLM) is desired Fine-tuning models to combine retrieval resul

Experience developing deployable code and deploying models in product-focused development under an agile environment Experience in production-ready software development Experience with content generation using Large Language Models (LLM) is desired Fine-tuning models to combine retrieval resul

Experience developing deployable code and deploying models in product-focused development under an agile environment Experience in production-ready software development Experience with content generation using Large Language Models (LLM) is desired Fine-tuning models to combine retrieval resul

GPT, BERT, T5) - Knowledge of tokenization, embeddings, and pre-training/fine-tuning paradigms - Building NLP pipelines for text classification, summarization, and entity recognition - Familiarity with Knowledge Graphs and Semantic Search - Building and integrating knowledge graphs for structured in

AWS, GCP, NVIDIA, Apache Spark) - Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML (CI/CD, Orchestration) - Experience of Visualisation (Power BI, Plotly, Streamlit or similar) - Experience with various enterprise-level App

Experience developing deployable code and deploying models in product-focused development under an agile environment Experience in production-ready software development Experience with content generation using Large Language Models (LLM) is desired Fine-tuning models to combine retrieval resul

Together, we chase the miracles of science to improve people's lives. Apply data science expertise in machine learning, statistics, forecasting and optimization to multiple AI projects/products. PhD in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitat

Master's Degree in mathematics, computer science, engineering, physics, statistics, data science, computational sciences or a related quantitative discipline OR PhD + 3 years of with relevant work & domain experience. At least 8 years' experience in Data science and proven track record of leading a

Experience developing deployable code and deploying models in product-focused development under an agile environment Experience in production-ready software development Experience with content generation using Large Language Models (LLM) is desired Fine-tuning models to combine retrieval resul

Experience developing deployable code and deploying models in product-focused development under an agile environment Experience in production-ready software development Experience with content generation using Large Language Models (LLM) is desired Fine-tuning models to combine retrieval resul

Experience developing deployable code and deploying models in product-focused development under an agile environment Experience in production-ready software development Experience with content generation using Large Language Models (LLM) is desired Fine-tuning models to combine retrieval resul

Experience developing deployable code and deploying models in product-focused development under an agile environment Experience in production-ready software development Experience with content generation using Large Language Models (LLM) is desired Fine-tuning models to combine retrieval resul