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Master-Thesis: Regulatory Intelligence powered by AI in Product Management(m/w/x)
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
- English – Fluent
- German – Basic
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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Master-Thesis: Regulatory Intelligence powered by AI in Product Management(m/w/x)
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
- English – Fluent
- German – Basic
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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
PowerCo
Industry
Manufacturing
Description
Das Unternehmen hat 2022 gegründet, um ein globaler Batteriechampion zu werden und betreibt Gigafabriken in Salzgitter, Valencia und St. Thomas in Kanada.
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