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12 часов назад

Data Science Consultant (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
c1
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Science Consultant (AI): Developing statistical models, optimization solutions, machine learning applications, and Generative AI solutions for complex client business problems with an accent on advanced analytics, large language models, and actionable insights. Focus on extracting insights from data, translating technical results into client recommendations, and facilitating analytical workshops.

Location: Amsterdam, Netherlands

Company

hirify.global is a digital management consulting group helping clients solve business challenges through data, creativity, and technology.

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 applications.
  • Apply Generative AI and large language models to create innovative solutions.
  • Present analytical results and facilitate client workshops.

Requirements

  • Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, 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 English and Dutch, written and spoken, are required.
  • Non-Dutch speakers are not accepted, and work permit sponsorship is unavailable.

Nice to have

  • Previous exposure to or interest in AWS, Azure, or GCP.
  • Additional language skills.

Culture & Benefits

  • Flat, collaborative, and multidisciplinary working environment.
  • Training, structured mentorship, and personalized development opportunities.
  • Participation in international projects.
  • Flexible working hours and performance-based promotion.
  • Health insurance, pension, bonus, and competitive benefits package.

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