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Manning Global

Lead Data Scientist

Manning Global Paris, Ile-de-France, France · €80K–€90K/yr

Staffing and Recruiting · 501-1,000 employees

Sep 15
data-scientist Principal (10+ yrs) Full-time France
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About the role

The Lead Data Scientist will oversee advanced data science initiatives, including the delivery of Smart Apps and the management of the Digital Factory AI community. They will also serve as the AI Act referent, ensuring alignment of practices, frameworks, and MLOps standards.

What they look for

Data Science Machine Learning Deep Learning Reinforcement Learning GenAI Cloud Architecture Data Engineering MLOps Water Process Understanding Communication Agility Multicultural Collaboration

Requirements

Candidates must have over 8 years of experience in data science with comprehensive knowledge of ML models, deep learning, and cloud architecture. Proficiency in both English and French (B2-C1 level) is required, along with strong communication skills and expertise in water processes.

Full description

Manning Global, an Internationally renowned staffing and managed services organization specializing in providing staffing solutions for leading corporations in AI, IT & Telecoms, Engineering, Digital Media, Automotive and Renewable Energy is recruiting for Lead Data Scientist on behalf of one of their blue-chip international clients to join their organization in France.

Job Title:

Lead Data Scientist

Employment:

Full time

Start Date:

October/2026

Country:

France - Hybrid - Paris

Salary range:

80 000.00 EUR - 90 000.00 EUR dependent upon experience

Contact:

Bojan Ulemek on: +49 (0) 89 23 88 98 671

Key Responsibilities

  • Lead data scientist (advanced data science expertise)
  • Hubgrade Smart Apps delivery (Smart‑Membranes, Smart Clarification)
  • Digital Factory AI community lead (discovery, sharing best practices, alignment of practices and frameworks, ML Dev and MLOps)
  • AI Act referent

Experience/Qualifications:

  • Experience Senior (8 years or more)
  • English and French B2-C1

Hard Skills

  • Comprehensive AI knowledge (all areas: mathematical and statistical ML models, deep learning, reinforcement learning, GenAI)
  • Cloud architecting
  • Data engineering
  • MLOps

Soft Skills :

  • Strong water process understanding (RO, desal, UF, ...)
  • Strong communication
  • Agility
  • Ability to convince
  • Ability to work in a multicultural and distributed environment

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