Key Skills

Job Description

Consulting Breadcrumb Home > Data Science Consultant Data Science Consultant Hofplein 20, 3032 AC Rotterdam, Netherlands I'm interested Share this job Company Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. 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). Solid knowledge of Machine Learning techniques, optimization methods, and Generative AI. Previous exposure or interest in cloud platforms (AWS, Azure, GCP) is a plus. 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. 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 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. I'm interested

Core Responsibilities

You will collaborate with multidisciplinary teams to apply advanced analytics, machine learning, and Generative AI to solve complex business problems. Additionally, you will extract actionable insights from data and present analytical results to clients.

Requirements

Candidates must hold a Master's degree in a technical field such as Data Science, Econometrics, or Computer Science and possess 1 to 3 years of professional experience. Proficiency in Python, analytical languages, and machine learning techniques is required, along with fluency in English and Dutch.

Benefits

• Training and development opportunities
• Structured mentorship
• Personalized training
• Flexible working hours
• Performance-based promotion
• Competitive salary
• Bonus
• Health insurance
• Pension