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Working Student - Commercial Renewables & Forecasting(m/w/x)
Developing forecasting tools and automated dashboards for renewable energy trading at a large energy trading floor. Quantitative degree enrollment with 1+ year remaining and hands-on SQL/Python/R experience required. Real commercial experience at one of Europe's largest energy trading floors.
Requirements
- Enrollment in quantitative degree (mathematics, engineering, computer science, finance) with at least one year remaining
- Hands-on experience writing SQL queries, data analysis and scripting in Python or R
- Familiarity with data analytics and visualisation tools (Power BI or Tableau)
- Strong analytical and numerical skills, attention to detail
- Proactive, collaborative mindset, confidence to take ownership
- Fluency in English
- German language skills; additional languages welcome
Tasks
- Develop and maintain tools for production forecasting
- Develop and maintain systems for short-term asset optimisation
- Build automated, interactive dashboards for analysis
- Build automated, interactive dashboards for monitoring
- Apply analytical optimisation methods to improve forecasting
- Apply AI-driven optimisation methods to improve trading performance
- Collaborate with portfolio managers and colleagues
- Present insights clearly to stakeholders
- Turn data into actionable insights
- Contribute ideas to enhance working processes
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- SQL
- Python
- R
- Power BI
- Tableau
Benefits
Learning & Development
- Hands-on learning
Mentorship & Coaching
- Supportive mentorship
Startup Environment
- Strong network building
Other Benefits
- Real commercial experience
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Working Student - Commercial Renewables & Forecasting(m/w/x)
Developing forecasting tools and automated dashboards for renewable energy trading at a large energy trading floor. Quantitative degree enrollment with 1+ year remaining and hands-on SQL/Python/R experience required. Real commercial experience at one of Europe's largest energy trading floors.
Requirements
- Enrollment in quantitative degree (mathematics, engineering, computer science, finance) with at least one year remaining
- Hands-on experience writing SQL queries, data analysis and scripting in Python or R
- Familiarity with data analytics and visualisation tools (Power BI or Tableau)
- Strong analytical and numerical skills, attention to detail
- Proactive, collaborative mindset, confidence to take ownership
- Fluency in English
- German language skills; additional languages welcome
Tasks
- Develop and maintain tools for production forecasting
- Develop and maintain systems for short-term asset optimisation
- Build automated, interactive dashboards for analysis
- Build automated, interactive dashboards for monitoring
- Apply analytical optimisation methods to improve forecasting
- Apply AI-driven optimisation methods to improve trading performance
- Collaborate with portfolio managers and colleagues
- Present insights clearly to stakeholders
- Turn data into actionable insights
- Contribute ideas to enhance working processes
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- SQL
- Python
- R
- Power BI
- Tableau
Benefits
Learning & Development
- Hands-on learning
Mentorship & Coaching
- Supportive mentorship
Startup Environment
- Strong network building
Other Benefits
- Real commercial experience
About the Company
RWE Supply & Trading GmbH
Industry
Other
Description
RWE Supply & Trading connects RWE with global energy markets, trading electricity, gas, commodities, and CO2 allowances.
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