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POPowerCo

Master-Thesis: Regulatory Intelligence powered by AI in Product Management(m/w/x)

Salzgitter
Full-timeWorking StudentOn-site

Designing AI system architecture for regulatory intelligence in battery gigafactories. Experience with LLM-based AI assistants and predictive modeling required. Project ownership, diverse work environment.

Requirements

  • Enrolled Master’s student in Economics, Data Science, Industrial or Mechanical Engineering, Business, Public Policy, Computer Science, Chemistry/Chemical Engineering, or comparable field
  • Solid experience with LLM-based AI assistants and agentic workflows
  • Applied experience in building predictive models and time-series forecasting
  • Confident in PowerPoint and executive-style slide writing
  • Structured thinking and excellent written communication
  • Comfortable handling multiple tasks with solution-oriented, analytical approach
  • Strong interest in trade/industrial policy, financial regulation, and their impact on manufacturing and supply chains
  • Experience with Power BI dashboards, SharePoint/Teams workflows, or Power Automate
  • Hands-on with deep learning for time series
  • Clear understanding of trade-offs versus classical baselines
  • Solid data wrangling, fact-checking, and source management
  • Curiosity, ownership, and hands-on mindset
  • Comfort working with multiple stakeholders in fast-moving environment

Tasks

  • Design robust, scalable AI system architecture
  • Ensure reliability, transparency, and human oversight
  • Develop advanced decision support frameworks
  • Leverage data for actionable strategic recommendations
  • Explore modeling techniques for business and regulatory constraints
  • Establish rigorous system evaluation and observability framework
  • Ensure transparency, accuracy, and auditability
  • Integrate results into intuitive stakeholder interfaces
  • Use AI to create executive slides with focused visuals
  • Produce automated standard slides
  • Prototype automated reports and dashboards for cell projects
  • Gather, clean, and analyze large-scale, heterogeneous data
  • Use scalable, reproducible data pipelines
  • Create short ‘How-to’ guides and prompt templates
  • Enable colleagues to reuse AI workflows

Education

  • Currently in higher education

Languages

  • EnglishFluent
  • GermanBasic

Tools & Technologies

  • LLM
  • PowerPoint
  • Power BI
  • SharePoint
  • Teams
  • Power Automate
  • deep learning
  • LSTM
  • TFT
  • N-BEATS
  • ARIMA
  • ETS
  • gradient boosting
  • CSV
  • Excel
  • JSON

Benefits

Informal Culture

  • Diverse work environment
  • Strong team spirit

Purpose-Driven Work

  • Project ownership

Healthcare & Fitness

  • Health and wellness programs

Team Events

  • Regular social events

Corporate Discounts

  • Corporate benefits
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