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Data Science Consultant (Generative AI)
Описание вакансии
Текст:
TL;DR
Data Science Consultant (Generative AI) (Python, Machine Learning, LLMs): Applying advanced analytics, statistical modeling, optimization, machine learning, and Generative AI to solve complex business problems for clients with an accent on actionable insights and multidisciplinary collaboration. Focus on developing analytical solutions, applying large language models, presenting results clearly, and facilitating client workshops.
Location: Amsterdam, Netherlands
Salary: Competitive salary, bonus, and benefits package
Company
is a digital management consulting group that combines data, creativity, technology, and responsible business practices to solve client challenges and identify new opportunities.
What you will do
- Collaborate with Data Scientists, Data Engineers, and Consultants on multidisciplinary client projects.
- Identify business challenges and extract actionable insights from data.
- Develop statistical models, optimization solutions, and advanced machine learning techniques.
- Apply Generative AI and large language models to create innovative solutions.
- Present analytical results clearly and support client workshops.
Requirements
- Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field with substantial programming.
- 1–3 years of relevant professional experience.
- Strong Python skills and proficiency in at least one additional analytical language, such as R or SQL.
- Solid knowledge of machine learning, optimization methods, and Generative AI.
- Fluent written and spoken English and Dutch are required; non-Dutch speakers will not be accepted.
- Work permit sponsorship is not available.
Nice to have
- Exposure to or interest in cloud platforms such as AWS, Azure, or GCP.
- Additional language skills.
Culture & Benefits
- Flat, collaborative, and multidisciplinary working environment.
- Training, structured mentorship, and personalized development opportunities.
- Opportunities to participate in international projects.
- Flexible working hours and performance-based promotion.
- Health insurance, pension, bonus, and competitive benefits package.