PwC, a multidisciplinary firm, brings together 7,000 employees in France and the Maghreb, within a global network of over 364,000 people in 136 countries. Every day, we excel in our professions to achieve our ambition: to be useful to our clients and accelerate progress. In a constantly evolving world, we invest in the development of our teams with a strong value proposition: Grow here. Go further. A global commitment to support our talents in developing their skills. What are we looking for? Expertise, of course. But above all, curious, passionate personalities, ready to embody the behaviors of the PwC Professional, our common framework that guides how we work together. Recognized as a Top Employer for the 6th consecutive year, PwC is committed to offering an inclusive and disability-friendly work environment, where everyone can fully collaborate and have an impact. If you require specific accommodations for the recruitment interview, please let us know.
Join PwC's Data & Analytics teams and participate in the creation of innovative solutions based on generative artificial intelligence. Our Data and Analytics community currently brings together 300 experts (Data Strategists, Data Architects, Data Analysts, Data Scientists, Data Engineers, Data POs, etc.) in France, covering the entire value chain, from strategy to execution, to support our clients across all their businesses and entities in their “data transformation”. As part of our commitment to strengthen our expertise in Artificial Intelligence, we are looking for a Manager Data Scientist passionate about new advancements in generative AI, ready to explore and develop innovative solutions using this cutting-edge technology. Explore exciting AI jobs and Data Scientist careers at PwC.

Eligibility / Qualification Required:

• Your Missions:

  • Identify and implement the most suitable AI solutions for the requirements and objectives of use cases, based on an in-depth analysis of technical and functional specifications.
  • Design PwC's Data Science and generative AI solutions to address client product and service challenges.
  • Supervise the complete Data Science project lifecycle, from conceptualization to integration into production systems, including the development of POCs/POVs.
  • Ensure data compliance and security by strictly adhering to data protection and confidentiality standards.
  • Participate in innovation projects and continuous monitoring of AI and MLOps/LLMOps practices.
  • Lead teams and ensure quality of delivery on assignments.
  • Contribute to business development and client relationships.

• Recommended Technical Skills:

  • Expertise domains: Machine Learning, NLP, Deep Learning.
  • GenAI: LLM, RAG, Vector Database, Search Engines, LLMOps,…
  • Cloud: Azure (Azure ML, Azure OpenAI, Azure Prompt Flow, Databricks,…), GCP, AWS.
  • Programming: Python, SQL and data analysis tools.
  • Framework & Tools: Langchain, Chroma, FAISS, Hugging Face.
  • Devops/MLOps: Git, Docker, Kubernetes.

• Your Profile:

  • You are a graduate with a high-level degree in mathematics / statistics, Data Science and AI.
  • You have a minimum of 6 years of professional experience and have already evolved in a corporate or consulting environment to develop Data and AI solutions.
  • You want to design and orchestrate the implementation of large-scale transformations and participate, within multidisciplinary agile teams, in the design and deployment of new products and services at scale.
  • You possess good synthetic written and oral communication, in both English and French.
  • You possess good expertise in Natural Language Processing (NLP) and master LLM-related frameworks and tools such as LangChain, Chromadb, Semantic Kernel, and application methods such as RAG, Chain-of-thought, etc.
  • You have a good mastery of Cloud environments (GCP, Azure or AWS).
  • You have good knowledge of Agile project management methods.
  • You have already implemented an AI or GenAI project as part of a PoC in an MVP or Pilot and are autonomous in the implementation and delivery of use cases.
  • Experience in team leadership and ensuring quality of delivery on assignments.
  • Contribution to business development and client relationships.

How to Apply:

Our recruitment process is designed to provide you with a smooth and transparent experience and unfolds in several steps:

• Online Evaluation: With a skills test and/or an English test.
• HR Interview.
• Meetings with operational teams: One or more in-person interviews.
• Information Verification: Before hiring, a specialized organization will verify the elements on your CV.

General Conditions:

• An innovative technological environment: Access to cutting-edge tools like the Tech Lab, Copilot M365, and the AI Factory to shape tomorrow's world.
• Exceptional learning and development opportunities: Thanks to our intelligent training platform and our culture of continuous feedback.
• A stimulating performance cycle: Aligned with the PwC Professional framework, to help you achieve your goals and aim for excellence day after day.
• A positive and inclusive work environment: To allow you to be fully yourself and collaborate effectively in serving our clients (parental programs, gender equity, health and well-being 'Be Well, Work Well', LGBT+ inclusion, and maintaining employment for people with disabilities). For more information on our benefits, please visit our dedicated page.

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