Senior Data Scientist & AI Project Leader

LinkedIn Job Wrapping; Paris; On-site; EUR 90,000 - 140,000; Full time

Job summary

Artefact, a French consulting and engineering firm specializing in data and AI, is seeking a Manager Data Scientist to design, deliver and scale AI projects for clients. Reporting to the CTO, you will lead end-to-end engagements, promote software engineering and MLOps best practices, validate data availability, and select robust architectures.

You will also manage Artefact's data science team across the country, mentor juniors, drive innovation, and contribute to internal accelerators while

Qualifications

• 5+ years of hands-on experience developing data-driven solutions.
• Strong knowledge in applied machine learning and generative AI.
• Solid understanding of software engineering and MLOps best practices.
• Experience with industrializing AI workflows in cloud environments.

Responsibilities

• Lead end-to-end client projects: framing use cases with business stakeholders and implementing AI solutions with measurable impact.
• Promote software engineering and MLOps best practices to deliver scalable solutions and production‑ready systems.
• Support solution design: challenge requirements, validate data, and select methodologies and architectures.
• Be the technical reference for clients: explain AI approaches, assess feasibility, risks and ROI.
• Develop trusted client relationships by engaging with C-level and operational teams as a long-term partner on Data & AI journeys.

Skills

Data science

Machine Learning

Generative AI

MLOps

Cloud environments

Team leadership

Stakeholder management

Job description

Artefact, a French consulting and engineering firm specializing in data and AI, is seeking a Manager Data Scientist to design, deliver and scale AI projects for clients. Reporting to the CTO, you will lead end-to-end engagements, promote software engineering and MLOps best practices, validate data availability, and select robust architectures.

You will also manage Artefact's data science team across the country, mentor juniors, drive innovation, and contribute to internal accelerators while