Jobs at Sia Partners

Consults on client transformation projects involving machine learning, AI, statistics, predictive modeling, operational research, optimization, simulation, and big-data processing. The role also supports internal data science offerings and business development. Candidates should have a master’s degree in civil engineering, applied mathematics, IT, or a related field, up to three years of consulting experience, strong analytical and communication skills, French, Dutch, and English fluency, and willingness to accept temporary international assignments.

Lead machine learning engineering initiatives, develop AI products and client solutions, make cloud architecture decisions, and productionize ML and deep learning models. Guide data scientists and engineers, provide training and mentorship, contribute to consulting workshops, and represent the organization through conferences, blogs, and events. The role requires strong software engineering, cloud, DevOps, big data, communication, and multilingual collaboration skills.

Supports Capital Markets productivity, efficiency, and transformation initiatives through process documentation, mapping, business requirements, KPI development, project governance, risk tracking, and continuous improvement. Partners with stakeholders and subject matter experts to standardize processes, identify inefficiencies, and deliver actionable recommendations across concurrent workstreams.

Conduct data science consulting assignments involving machine learning, AI, statistics, predictive modeling, econometrics, forecasting, optimization, simulation, and large-scale data processing. Support digital transformation projects through business and IT analysis and partial coding. Contribute to internal data science offerings, innovation analysis, business development, and commercial initiatives while collaborating with international clients and teams.

Lead machine learning engineering initiatives, develop production-grade AI and ML solutions, make cloud architecture decisions, and help scale data science models into production. The role includes mentoring engineers, leading internal teams, delivering client projects, organizing training and events, and contributing to thought leadership through publications, conferences, and press releases.

Supports climate and sustainability consulting projects through techno-economic studies, marketing, coordination, organizational change, document analysis, benchmarking, data analysis, and presentations. The role also contributes to internal knowledge creation through workshops and publications, collaborates across sectors, and helps clients understand opportunities related to data and AI. Candidates should demonstrate strong academic performance, sustainability interest, analytical ability, communication skills, autonomy, and fluency in Dutch, French, and English.

Build and maintain cloud-based data engineering and machine learning infrastructure for client projects and internal AI solutions. Responsibilities include developing data pipelines and Python services, managing Docker and Kubernetes environments, implementing CI/CD and Infrastructure as Code, optimizing cloud resources, and supporting ML model deployment. The role also involves application security, DevOps lifecycle ownership, and collaboration with data science teams and clients.

Senior Engineer Consultant supporting client transformation projects through data structuring, analysis, benchmarking, interviews, workshops, process mapping, and functional specifications. The role includes team support, knowledge development, and collaboration across industry business units, with a strong focus on energy, data, and AI topics. Candidates should be analytical, autonomous, communicative, multilingual, and willing to participate in temporary international assignments.

Leads data science and digital transformation consulting projects involving machine learning, AI, statistics, predictive modeling, optimization, simulation, and big data. Contributes to client assignments, internal service development, business development, and team leadership. Requires strong analytical, communication, consulting, and multilingual skills, with potential temporary international assignments.

Supports client transformation projects through data structuring, analysis, benchmarking, interviews, workshop facilitation, process mapping, and functional specifications. Provides team support and contributes to knowledge-sharing activities. The role requires strong analytical, communication, collaboration, and consulting skills, an interest in energy and AI, multilingual fluency, and willingness to participate in temporary international assignments.

Advise energy-sector clients on hydrogen strategy and implementation, serving as a stakeholder point of contact and managing project team members. Assess hydrogen and energy-market developments, identify trends and complex problems, and support energy-transition initiatives. Collaborate with Energy and Data Science teams while contributing to business development, recruitment, training, knowledge sharing, and internal strategy.

Consultants support energy-sector client projects through forecasting, data analytics, market-entry studies, operational optimization, and energy-transition work. They typically serve as business analysts or PMO professionals, defining requirements, analyzing problems, coordinating stakeholders, and helping implement solutions. The role requires a master’s degree, up to three years of consulting experience, strong Dutch and English communication skills, analytical ability, entrepreneurial initiative, and interest in data and AI.

Senior Engineer Consultant supporting client transformation projects through data structuring, analysis, benchmarking, interviews, workshop facilitation, process mapping, and functional specifications. The role involves team support, knowledge creation, and advising clients on data and AI opportunities, particularly within the energy sector. Candidates should have a relevant master’s degree, consulting experience, strong analytical and communication skills, Dutch and English fluency, and willingness to undertake temporary assignments abroad.

Supports climate and sustainability consulting activities through techno-economic studies, marketing, coordination, organizational change, document analysis, benchmarking, data analysis, presentations, workshops, and publications. The role contributes to internal consulting projects and knowledge creation while helping clients identify opportunities related to sustainable development, data, and AI.

Supports transformation consulting projects through data structuring, data analysis, benchmarking, interviews, workshop facilitation, process mapping, and functional specifications. The role provides team support, contributes to knowledge creation, and helps energy-sector clients use data and AI opportunities. Requires a civil or business engineering master’s degree, strong analytical and communication skills, multilingual fluency in French, Dutch, and English, and willingness to participate in temporary international assignments.

Build and maintain cloud-based data engineering and machine learning infrastructure for client projects and internal AI solutions. Responsibilities include designing cloud architectures across GCP, AWS, and Azure; developing Python tools and ETL pipelines; managing Docker, Kubernetes, CI/CD, and Infrastructure as Code; implementing security and authentication solutions; and supporting deployment and maintenance of data science applications.

Lead client data engineering engagements from strategy through execution. Design scalable data architectures, pipelines, cloud and distributed systems, databases, data models, integration patterns, and CI/CD DataOps workflows. Manage stakeholders, advise senior clients, develop consulting offerings, support business development, contribute to thought leadership, and mentor junior consultants. The role requires strong communication, analytical problem-solving, adaptability, and technical expertise across modern data engineering platforms.

Lead client engagements and design scalable data engineering solutions across cloud, distributed systems, databases, data integration, and DataOps. Build pipelines and architectures using platforms such as GCP, AWS, Azure, Databricks, and Snowflake. Manage stakeholders, deliver projects, develop consulting offerings, support business development, represent the firm externally, and mentor junior consultants.

Leads business transformation consulting projects for energy and industry clients, performing data structuring, analysis, benchmarking, interviews, workshop facilitation, process mapping, and functional specification. Supports team development by coaching junior colleagues and contributes to knowledge creation through workshops, publications, and seminars. Requires strong analytical, communication, entrepreneurial, data and AI interests, fluency in English and Dutch, and a passion for energy.

Consultants support energy-sector client projects as business analysts or PMO professionals. Responsibilities include defining and analyzing requirements, engaging stakeholders, identifying problems and trends, solving complex problems, and contributing to assignments involving forecasting, data analytics, market entry, operational optimization, and energy transition. The role requires strong interest in data and AI, entrepreneurial thinking, and fluent Dutch and English communication skills.