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pacemaker.aiPA

Werkstudent*in PMO (Project Management Office) in Data Science Projekten (m/w/d)

pacemaker.ai provides AI-powered software solutions for demand forecasting and carbon intelligence to help companies build more resilient and sustainable supply chains.

pacemaker.ai

Employee count: 51-200

Germany only

Join the Customer Projects Team at pacemaker.ai and gain insights into data science projects while shaping structures and processes in project management. You'll build and maintain a template library and knowledge management system, support project process documentation using tools like Confluence and Miro, and collaborate closely with the Head of Projects and Data Scientists.

Requirements

  • Studying Business Informatics, Business Administration, Computer Science, Data Science, or a comparable field.
  • Interest in project management, knowledge management, and process documentation.
  • First experiences through internships in companies and with tools such as Teams, Confluence, or other collaboration platforms is an advantage.
  • Structured working style with a knack for organization and clear presentation of knowledge.
  • Very good German and English skills in written and spoken form.

Benefits

  • Exciting insights into innovative data science projects
  • Open corporate culture
  • Flexible working hours
  • Possibility to work remotely
  • Inspiring team days for exchange, knowledge transfer, and networking
  • Modern workplaces with innovative technology
  • Attractive additional benefits, such as free drinks, snacks, and other benefits.

About the job

Apply before

Posted on

Job type

Part Time

Experience level

Entry-level

Location requirements

Hiring timezones

Germany +/- 0 hours

About pacemaker.ai

Learn more about pacemaker.ai and their company culture.

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Many businesses today grapple with the immense challenge of managing complex and often unpredictable global supply chains. The constant threat of disruptions, from fluctuating customer demand to logistical bottlenecks, can lead to costly overstocking, frustrating shortages, and a significant environmental impact. Customers in industries like automotive and manufacturing need to make their supply chains more resilient, efficient, and sustainable, but often lack the tools to gain true transparency and make data-driven decisions. This is precisely the problem pacemaker.ai was created to solve. As data experts, we partner with our customers to transform their supply chains from a source of stress into a strategic advantage.

At pacemaker.ai, we understand that a one-size-fits-all approach doesn't work. That's why we've developed a suite of AI-based software solutions designed to provide clarity and control. Our core offerings, Demand Forecasting and Product Carbon Intelligence, are built on powerful machine learning algorithms. For our customers, this means moving beyond reactive problem-solving. Our Demand Forecasting tool analyzes historical data, customer call-offs, and even external factors to generate highly accurate predictions, enabling businesses to optimize inventory levels, improve production planning, and increase delivery reliability by 20-30%. Simultaneously, our Carbon Intelligence module provides a transparent view of CO₂ emissions along the entire value chain. This empowers our customers not only to meet increasing regulatory and investor demands for sustainability but also to identify and act on opportunities to reduce their environmental footprint, ultimately building a more efficient, cost-effective, and sustainably better supply chain for tomorrow.

Employee benefits

Learn about the employee benefits and perks provided at pacemaker.ai.

View benefits

JobRad

Company bicycle leasing program.

Udemy Pro

Access to online learning platform Udemy Pro.

Urban Sports Club

Membership for sports and wellness activities.

Office Drinks & Food

Complimentary drinks and food available at the office locations.

View pacemaker.ai's employee benefits
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pacemaker.ai

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pacemaker.ai hiring Werkstudent*in PMO (Project Management Office) in Data Science Projekten (m/w/d) • Remote (Work from Home) | Himalayas