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Salary
$39k – $112k per year (Estimated)
Location
Remote/Hybrid (Amsterdam, Netherlands)
Seniority
Junior · 1+ year exp
Employment
Full-Time
Overview
Company
Impact
Profile match

Sia

Sia is a French management consultancy founded in 1999, known until 2024 as Sia Partners, that combines traditional strategy and operations advice with a large in-house data and artificial intelligence capability. Its consultants work for banks, insurers, energy and utility companies, telecommunications operators and public sector clients on transformation, regulation, risk and technology programmes, supported by its own AI products rather than only slide-based recommendations. Headquartered in Paris, the firm employs several thousand consultants across Europe, North America, the Middle East and Asia.

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.

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.

  • 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).

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.

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