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:
Your profile
Qualifications
Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming.
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.
What we offer
Competitive salary, bonus, and benefits package (lease car, 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.
