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Capgemini

Global consulting, technology services, outsourcing

Expert Data Scientist

Applied Machine LearningUpdated on Nov 14
Full-timeIssy-les-Moulineaux, FranceNo salary listed

About the Job

Requirements

  • An engineering diploma, Master's degree, or PhD in data science, applied mathematics, statistics, or Big Data.
  • At least 3 years of experience as a Data Scientist; Senior roles require 3–5 years, Manager roles more than 5 years, and Director roles more than 8 years.
  • Technical and scientific knowledge in at least one of Generative AI, natural language processing, computer vision, time series and optimization, or trustworthy AI, including the associated models, frameworks, and architectures.
  • Ability to translate a business need into an AI use case and develop it through production deployment.
  • Mastery of software engineering best practices.
  • Practical experience in project management and development using agile methodologies.

Responsibilities

  • Lead the implementation of multiple AI use cases using agile methods within a Data Factory, from ideation through production deployment and monitoring.
  • Contribute to establishing the GenAI strategy and roadmap using knowledge of the state of the art.
  • Supervise the development and deployment of a financial assistant to facilitate real-time analysis of thousands of pieces of information.
  • Manage an audit assignment while anticipating and incorporating the requirements of the AI Act.
  • Identify priority research areas for the Research and Innovation Lab.
  • Manage a project team and ensure successful delivery of varied client assignments.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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