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3 дня назад

Working Student (AI, Energy)

Формат работы
onsite
Тип работы
parttime
Грейд
trainee
Английский
b2
Страна
Germany
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

Working Student (AI, Energy): Supporting the development of a cloud-based smart energy management solution with an accent on operational, analytical, and technical tasks across business, product, and data domains. Focus on exploring energy-related questions through analysis and simulation, contributing to decision-making, and growing skills in a real-world startup environment.

Location: München, Germany

Company

hirify.global is an early-stage software startup originating from Rudolf Hörmann GmbH & Co. KG, empowering EMS integrators and hardware vendors with AI-driven cloud-to-cloud optimization-as-a-service for energy management.

What you will do

  • Support operational and administrative tasks in a startup environment.
  • Contribute to business, product, data analysis, energy system modeling, simulation, machine learning, or software tasks.
  • Analyze, simulate, and evaluate energy systems and product ideas.
  • Prepare documentation, analyses, and results to aid team decision-making.
  • Take ownership of tasks and solve open-ended problems.

Requirements

  • Enrolled student in business, management, engineering, computer science, or data science.
  • Strong analytical mindset and curiosity.
  • Comfortable working with data, numbers, and structured problems.
  • Interest in technology, digital products, and the energy domain.
  • Reliable, hands-on, and willing to take responsibility.
  • Enjoys learning quickly and working through open-ended problems.
  • English: B2 required

Nice to have

  • Programming experience in Python.
  • Interest in data science or machine learning.

Culture & Benefits

  • Small startup with flat hierarchy and close team collaboration.
  • Role adapts to individual skills and interests with room for growth.
  • Exposure to real-world problems at the intersection of energy, data, and technology.
  • Direct insight into product and business building.
  • Flexible working hours compatible with studies.

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