Artefact is a global consulting firm specializing in data transformation and AI solutions, empowering organizations to achieve impactful business results across various sectors.
Paris, Île-de-France
Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. We specialize in data transformation and data marketing to drive tangible business results across the entire enterprise value chain. Our 1,500 employees operate across 33 offices in 26 countries (Europe, Americas, Asia, Middle East Africa) and we partner with 1000 clients, including 300 major brands like Samsung, L’Oréal, Orange and Sanofi. We provide customized services from strategy to operations: data strategy, data quality and governance, data platforms, AI factories, demand forecasting, data marketing & sales, AI for call centers, Data & AI School, specialized by industry sectors with dedicated consultancy and technology support.
On-site · Montréal
Lead a team of AI and ML engineers to design and deliver production-grade AI solutions, ranging from classical ML to LLM-powered applications. Partner with clients on pre-sales, solution architecture, and the implementation of agentic systems and fine-tuning pipelines.
On-site · Montréal
Lead a team of AI and ML engineers to design and deliver production-grade AI solutions, ranging from classical ML to LLM-powered applications. Partner with clients and stakeholders to shape proposals, define technical architectures, and drive AI strategy.
On-site · Montréal
Lead a team of AI and ML engineers to design and deliver production-grade AI solutions, ranging from classical ML to LLM-powered applications. Partner with clients and stakeholders to shape technical proposals and define AI strategy and platform roadmaps.
On-site · Montréal
Lead a team of AI and ML engineers to design and deliver production-grade AI solutions, ranging from classical ML to LLM-powered applications. Partner with clients and senior leadership to drive AI strategy, solution architecture, and pre-sales activities.
Hybrid · Montréal
The Senior Data Consultant will lead high-impact client engagements and shape analytical strategies to drive measurable business value. They are responsible for structuring client relationships, managing project delivery, and mentoring junior team members while contributing to the growth of the Canadian practice.
On-site · Montréal
The Senior Consultant will execute diverse, client-facing projects by leveraging strong business and analytical skills to perform advanced data analysis and interface directly with clients. Key tasks involve defining client needs, formulating strategic data recommendations, contributing to business proposals, and ensuring internal project efforts remain aligned and on track.
On-site · Montréal
The Senior Consultant will perform advanced analytics, interface with clients, and ensure that internal project efforts are aligned and on track. Key tasks include defining client needs, conducting research, and mentoring junior team members.
On-site · Ottawa
The Consulting Director will lead the establishment of Artefact's presence in Korea, overseeing consulting engagements and ensuring client satisfaction. This role involves building relationships with clients and internal teams while delivering high-quality consulting services.
On-site · Ottawa
As a Data Director, you will lead and expand the data science team while overseeing ambitious data transformation projects. You will also build senior-level client relationships and ensure the successful delivery of data projects.
On-site · Ottawa
As a Junior Data Consultant, you will support clients in developing and implementing innovative data and AI strategies. Your role includes client advisory, data collection and organization, ownership of project streams, and data analysis and interpretation.
On-site · Montréal
As a Jr Data Analyst, you will conduct projects to transform clients' businesses through data collection, processing, and visualization. You will extract insights from marketing-related data and create tailored dashboards to support decision-making.
On-site · Montréal
The role involves designing, building, and maintaining scalable data pipelines using technologies like SQL, Python, Databricks, and Snowflake, while leading the integration of complex data systems for consistency and accuracy. Responsibilities also include implementing CI/CD practices, understanding business requirements, and overseeing/mentoring a team of data engineers.
Hybrid · Montréal
The role involves translating marketing and business challenges into analytical use cases and developing statistical and machine learning models. Additionally, the candidate will build and maintain scalable data pipelines and create data visualizations to support decision-making.
On-site · Montréal
The Senior Data Engineer will design, build, and maintain scalable data pipelines while leading the integration of complex data systems. They will also oversee a team of data engineers and ensure high-quality project deliverables.
On-site · Montréal
The analyst will conduct projects to support client business transformation through data collection, processing, and visualization, extracting valuable insights from marketing data to inform decision-making. Key tasks also involve developing new technical approaches for marketing challenges and creating tailored data visualization dashboards for marketing decisions.
On-site · Montréal
The analyst will conduct projects to support client business transformation through data collection, processing, and visualization, while extracting valuable insights from marketing data sources to inform decision-making. Key tasks also involve researching new technical approaches and creating tailored data visualization dashboards for marketing decisions.
On-site · Montréal
The Analyst will conduct projects to transform client businesses through data collection, processing, and visualization, extracting valuable insights from marketing data to support decision-making. Key tasks also involve researching new technical approaches and creating tailored data visualization dashboards for marketing decisions.
On-site · Montréal
The role involves translating marketing and business challenges into analytical use cases, defining hypotheses, and developing statistical and machine learning models to predict business outcomes. Responsibilities also include building scalable data pipelines, deploying production-ready modeling solutions, and creating visualizations for decision-making.
Hybrid · Montréal
Key responsibilities include designing, building, and maintaining scalable data pipelines using various technologies like SQL, Python, Databricks, and Snowflake. The role also involves leading data system integration, implementing CI/CD practices, and overseeing a team of data engineers.
On-site · Montréal
The Senior Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines using various technologies and leading the integration of complex data systems. Key duties also include overseeing a team of data engineers, enforcing data governance, and optimizing data retrieval for business reporting.
