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Wavestone

Management and digital transformation consulting

Manager - Lead Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timePuteaux, France€75k - €92k /yrIn-person

About the Job

Requirements

  • You have at least 6 years of professional experience as a Data Scientist.
  • You are proficient in multiple frameworks, including TensorFlow, scikit-learn, Spark, PyTorch, and Hugging Face Models, and data science programming languages such as Python.
  • You are proficient in software development practices, including code packaging and testing.
  • You are proficient in one or more data and AI platforms for developing data and AI solutions, such as Databricks, Microsoft Fabric, Google Cloud Vertex AI, AWS SageMaker, and Snowflake.
  • You understand MLOps challenges and associated solutions and frameworks.
  • You understand the sales cycle for complex projects, including prospecting, presales, and responding to requests for proposals, and have successfully participated in complex sales or business development initiatives.
  • You have team management skills and the ability to bring together, supervise, and develop the teams under your responsibility.
  • You speak English and French fluently.

Responsibilities

  • Lead data science and AI projects, guiding organizations through the transition from traditional AI to agentic AI and managing projects from scoping through production deployment.
  • Own technology and methodology choices, ensuring the quality and robustness of developed solutions.
  • Supervise data scientists and developers, providing technical support and mentoring to achieve solution performance objectives.
  • Design, develop, and deploy machine learning, deep learning, and generative AI models for varied business problems.
  • Oversee the implementation of data and machine learning pipelines.
  • Coordinate with client technical teams, including data engineers, architects, machine learning engineers, and IT departments, to integrate solutions into client information systems.
  • Implement evaluation, monitoring, and continuous-improvement methodologies for models in production.
  • Benchmark algorithms, frameworks, and technologies to propose innovative solutions.
  • Participate in audits of market AI solutions to advise clients on build-versus-buy decisions.
  • Explore new AI use cases, including computer vision, natural language processing, and generative AI.
  • Build client capabilities by leading training sessions, workshops, and experience-sharing sessions.
  • Provide expertise to large organizations on the described data and AI topics.
  • Lead high-stakes engagements, ensuring deliverable quality, coordinating multiple stakeholders, and meeting commitments.
  • Drive business development by identifying opportunities, leading presales, responding to requests for proposals, and meeting the annual commercial target.
  • Supervise and develop consultants, supporting their skills growth and sharing the firm's best practices.
  • Lead multiple client, internal, and commercial projects concurrently.
  • Contribute to the development of the firm's Data and AI offerings by identifying market trends, shaping viewpoints, and developing tools, frameworks, and benchmarks.
  • Represent Wavestone internally and externally through presentations, publications, and speaking engagements on Data and AI topics.

About the Company

Wavestone

Management and digital transformation consulting

Wavestone provides management and digital consulting to help large organizations carry out complex transformations. Its services combine strategy, change management, and technology implementation to guide clients from plan to outcome. The core method centers on cultivating a shared culture of enthusiasm for change, called The Positive Way, so strategies are adopted smoothly, projects stay sustainable, and stakeholders trust the process. With about 3,000 consultants across four continents, the company supports transformation programs from ideation to execution on a global scale. Wavestone differentiates itself by placing culture and positive mindset at the heart of its approach, pairing management consulting with digital expertise to drive lasting change. The goal is to enable successful, enduring transformations that deliver measurable business value while engaging people in the change journey.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Puteaux, France
Founded
1990

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