Data Science Consultant

Sia; Noord-Holland; On-site; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Training and development opportunities

Structured mentorship

Flexible working hours

Competitive salary and benefits package

Job summary

Sia is seeking a Data Science professional in the Netherlands. The successful candidate will work closely within multidisciplinary teams, applying advanced analytics and machine learning techniques. Responsibilities include developing statistical models and presenting insights to clients.

The ideal profile includes a Master’s degree in a related field and strong coding skills in Python and at least one additional language. A supportive environment and competitive salary are part of the offer.

Qualifications

• 1 to 3 years of relevant professional experience.
• Strong interest in data and AI topics.
• Fluent in English and Dutch.

Responsibilities

• Collaborate with colleagues to identify business challenges.
• Develop and implement statistical models and optimization solutions.
• Present analytical results and assist in client workshops.

Skills

Python

Data Science

Machine Learning

Generative AI

SQL

R

Cloud platforms (AWS, Azure, GCP)

Education

WO Master’s degree in Data Science, Econometrics, Applied Mathematics, Computer Science, or related

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.

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

• 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); strong interest in data and AI topics, ability to quickly build expertise, excited about helping clients seize opportunities.
• 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.