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Build and lead production machine learning and AI solutions for internal products and client projects. Make cloud architecture and design decisions, scale data science models into production, optimize and test ML pipelines, mentor engineers, deliver training, and represent the organization through client workshops, conferences, blog articles, and events. The role also contributes to team growth, business development, and cross-functional collaboration across international data teams.

Execute client transformation projects involving machine learning, AI, statistics, predictive modeling, operational research, optimization, simulation, and big data processing. Support business and IT analysis, partial coding, internal data science offerings, innovation interpretation, and business development. Candidates should have a relevant master’s degree, strong analytical and communication skills, French, Dutch, and English fluency, and willingness to accept temporary international assignments.

Lead the development of AI products and production-grade machine learning solutions for internal and client projects. Make cloud architecture and design decisions, scale data science models into production, mentor engineers, deliver training, and represent the organization through workshops, conferences, blogs, and events. The role also contributes to team growth, consulting engagements, and cross-functional collaboration across international data teams.

Consultants execute client transformation projects involving machine learning, AI, statistics, predictive modeling, optimization, simulation, and large-scale data processing. They support business and IT analysis, contribute to internal data science offerings, and participate in business development. The role requires strong analytical, communication, and teamwork skills, fluency in French, Dutch, and English, and willingness to undertake temporary international assignments.

Lead end-to-end data and AI architecture for client engagements across cloud infrastructure, data pipelines, machine learning, generative AI, and autonomous agents. Serve as the primary technical contact for senior stakeholders, oversee architecture governance and production readiness, remove engineering impediments, and guide projects from assessment through deployment. Support pre-sales through technical scoping, proposals, estimations, and client presentations while mentoring consultants and engineers and developing internal AI architecture assets.

Leads client engagements delivering scalable data engineering solutions from strategy through execution. Designs data architectures, pipelines, cloud and distributed systems, databases, data models, batch and real-time integrations, and CI/CD workflows. Manages stakeholders, mentors consultants, develops internal offerings, supports business development, and contributes to thought leadership. Requires strong communication, consulting, analytical, and technical skills, plus fluency in English and Dutch or French.

Leads client engagements involving advanced analytics, predictive and explanatory modeling, econometrics, optimization, forecasting, Generative AI, and LLMs. Advises senior stakeholders, guides multidisciplinary project teams, mentors colleagues, supports business development, and contributes to internal training, publications, thought leadership, and the development of data science and AI offerings.

Senior data science consultant developing machine learning, statistical, optimization, simulation, forecasting, and big data models for clients. Responsibilities include managing end-to-end projects, client relationships, consulting proposals, business development, publications, training, and supervising junior consultants. The role requires presenting insights, ensuring deliverable quality, mentoring team members, and contributing to the firm's data science offerings.

Designs scalable data architectures and pipelines using cloud platforms and distributed systems. Responsibilities include data modeling, database optimization, batch and real-time integration, CI/CD, and DataOps. The role also involves leading client engagements, managing stakeholders, developing consulting offerings, business development, thought leadership, and mentoring junior consultants.

Lead client data engineering engagements from strategy through execution. Design scalable data architectures, pipelines, cloud and distributed systems, databases, data models, and batch or real-time integrations. Implement CI/CD and DataOps practices, manage stakeholders, develop consulting offerings, support business development, represent the firm externally, and mentor junior consultants.