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Full-time
Posted 5d ago
~40 hrs/week
Responsibilities
The Data Scientist Manager will lead end-to-end AI projects, ensuring technical excellence and measurable business impact for clients. Additionally, they are responsible for managing the data science team, fostering professional growth, and driving internal technical innovation.
Requirements
Candidates must have at least 5 years of hands-on experience in developing data-driven solutions and a strong background in machine learning and generative AI. Proficiency in software engineering, MLOps, and cloud-based AI industrialization is required, alongside strong leadership and stakeholder management skills.
Full job description
Who we are
Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees.
Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations.
Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.
What you will be doing - Key responsibilities
As a Manager Data Scientist, you will play a central role in the design, delivery and scaling of AI projects for our clients. Reporting to the CTO, your responsibilities will include:
Leading end-to-end client projects: from framing use cases with business stakeholders to implementing AI solutions that generate measurable impact.
Ensuring technical excellence: promote software engineering and MLOps best practices to deliver scalable solutions and bring them into production.
Supporting solution design: challenging business requirements, validating data availability, and selecting the most appropriate methodologies and architectures.
Being the technical reference for clients: explaining AI approaches in simple terms, providing recommendations on feasibility, risks, and ROI.
Developing trusted client relationships: interacting with C-level and operational teams to position Artefact as a long-term partner on their Data & AI journey.
Beyond these core responsibilities, you will also be involved in:
Managing the country’s data science team
Support team staffing, ensuring the right skills are applied to meet project needs.
Ensure each individual’s continuous well-being within the team, supporting their growth through mentoring, coaching, and career development plans.
Help define the team’s career framework and participate in performance review processes.
Challenge existing ways of working and drive innovation to continuously improve Artefact’s data science team.
Developing Artefact’s technical expertise
Contribute to testing and implementing advanced AI approaches and emerging techniques on client use cases.
Drive initiatives to build internal accelerators, such as modules and tools that can be reused across projects.
Maintain an active technology watch: evaluate emerging tools, frameworks, and cloud services to assess how they can address client needs.
Share knowledge through workshops, informal training sessions, and documentation, fostering a culture of continuous learning.
Being a great tech manager
Lead by example: demonstrate technical rigor, pragmatic problem-solving, and the ability to step in directly on projects when the team needs support.
Provide constructive feedback to help data scientists in your team progress in both technical and consulting dimensions.
Anticipate risks and unblock teams, ensuring projects stay on track.
Balance ambition and feasibility: critically assess approaches, driving innovation while ensuring solutions stay realistic to deliver.
Foster collaboration between data scientists, data engineers, and business teams to ensure solutions are effectively integrated and adopted.
Qualifications - What we are looking for
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.
In addition to technical expertise, we value individuals who can:
Lead teams, manage stakeholders, and deliver impactful projects in a business context.
Show intellectual curiosity and excellent problem-solving skills.
Tackle challenges with pragmatism and creativity.
Support growth, mentoring juniors and constructively challenging seniors.
Earn trust from both peers and business stakeholders.
Our recruitment process
HR call
Standard Interview
Technical Interview
Fit Interview
At Artefact, we recruit our employees solely on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.
Artefact is a global consulting and engineering firm specializing in data and AI services, headquartered in Paris, and a leader in Europe. We are present in 27 countries across all continents (Europe, Asia, Americas, Middle East, India, Africa), with a team of 2,500 employees.
We are dedicated to accelerating the adoption of AI and data to positively impact people and organizations. We specialize in AI & data transformation for enterprises and data-driven marketing to drive tangible business results across the entire enterprise value chain.
Artefact offers the most comprehensive set of data-driven solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors.
From strategy to operations, we offer an end-to-end approach and solutions: data & AI strategy, data quality and governance, data platforms, AI Factory, data-driven customer experience and marketing ROI. We partner with 1000+ clients, including some of the world’s top 300 brands such as L’Oréal, Orange, Sanofi and Unilever.
Offices: 19 Rue Richer, Paris, Île-de-France 75009, FR · 62 Queen Street, 1st floor, London, England EC4V 2, GB · Centrepoint North Tower, Mid Valley City, Level 27 Penthouse, Kuala Lumpur, Selangor 59200, MY · Rothenbaumchaussee 80c, Hamburg, 20148, DE · Stationsplein 32, Utrecht, Utrecht 3511, NL
Data MarketingDigital MarketingeCommerceAI TechnologyData ScienceMLOpsGenerative AIData & AI ConsultingAgentic AIand Artificial Intelligence
How many Software jobs are open in Paris, France right now?
There are currently 2,856 open software positions in Paris, France listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Software roles in Paris, France?
Companies currently hiring include Talan, Adone Conseil, Nexton IT, Sopra Steria Group, Accenture, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Software jobs in Paris, France?
Yes — 2090 of the 2856 open software positions offer remote or hybrid work (251 remote, 1839 hybrid).
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