Key Skills

Job Description

Sia is a next-generation, global management consulting group born digital, augmented by data, enhanced by creativity, and driven by responsibility. We partner with clients to resolve challenges and capitalize on opportunities. We believe that in today’s world of change and disruption, optimism is a force multiplier. Job Description The Amsterdam Data Science team is diverse, dynamic, and rapidly growing. You will collaborate closely within multidisciplinary teams, applying advanced analytics and machine learning techniques to solve complex business problems and deliver impactful solutions. Our flat structure encourages initiative, entrepreneurial spirit, diversity, well-being, and knowledge sharing so that we grow together. Responsibilities As a Data Science Consultant, you will collaborate with our Data Scientists, Data Engineers, and Consultants on various client projects in multidisciplinary teams. You will use advanced analytics, machine learning, and GenAI techniques to solve complex business problems and deliver impactful solutions. Responsibilities include: Collaborate with colleagues to identify business challenges and extract actionable insights from data. Develop and implement statistical models, optimization solutions, and advanced machine learning techniques. Apply Generative AI and large language models to create innovative solutions. Clearly present analytical results and assist in facilitating client workshops. Your profile Motivated, analytical, and eager to learn. Thrive in collaborative, multidisciplinary environments. Clear communicator, comfortable translating complex technical concepts into actionable recommendations. Qualifications Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming. 1 to 3 years of relevant professional experience. Strong coding skills in Python and at least one additional analytical language (e.g., R, SQL). You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you’re excited about helping our clients seize the opportunities they offer. Solid knowledge of Machine Learning techniques, optimization methods, and Generative AI. Previous exposure or interest in cloud platforms (AWS, Azure, GCP) is a plus. Fluent in English and Dutch, both written and oral. Additional languages are considered advantageous. What We Offer Training and development opportunities to advance your expertise. A supportive environment with structured mentorship and personalized training opportunities. Opportunities to participate in international projects. Flexible working hours and performance-based promotion. Competitive salary, bonus, and benefits package (health insurance, pension). Additional Information We are unable to provide a work permit for this position. Non-Dutch speakers will unfortunately not be accepted. Sia is an equal opportunity employer. Employment decisions—including hiring, promotion, remuneration, or disciplinary actions—are based solely on performance, competence, conduct, and business needs. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Core Responsibilities

Collaborate with data scientists, data engineers, and consultants to identify client business challenges and derive actionable insights from data. Develop statistical models, optimization solutions, and machine learning and Generative AI applications, then present results and support client workshops.

Requirements

Requires a completed master's degree in a technical field involving substantial programming and 1–3 years of relevant professional experience. Candidates need strong Python skills plus another analytical language, knowledge of machine learning, optimization, and Generative AI, and fluency in both English and Dutch.

Benefits

• Health Insurance
• Pension
• Bonus
• Training And Development Opportunities
• Mentorship
• Flexible Working Hours
• International Project Opportunities