Working Student – Energy Management Solutions (Remote)

Job summary

Support the energy management community through data-driven analyses and performance evaluations of fast-charging stations across Europe. Engage with large datasets and apply statistical methods to derive insights and optimization strategies.

Qualifications

• Currently enrolled in a master’s program, preferably in a technical discipline.
• Familiarity with terms such as BESS, EVSE, DLM, and VPP.
• Experience in programming with Python, particularly using libraries like pandas, numpy, or spark.
• Strong analytical skills with a focus on data and applied statistics.
• Knowledge of electricity market optimization is a plus.
• Structured and reliable work ethic with a strong sense of personal ownership.
• Hands-on approach and commitment to completing tasks.
• Proficient in English, both written and spoken.

Responsibilities

• Assist in data-driven analyses for the energy management community.
• Evaluate performance metrics of fast-charging stations in various European countries.
• Develop analyses using Python and statistical methods to identify trends and optimization opportunities.
• Prepare reports and communicate findings to stakeholders.
• Take ownership of tasks and support projects from start to finish.

Skills

• Proficiency in Python and data analysis libraries.
• Strong analytical and statistical skills.
• Effective communication skills for reporting insights.

Education

• Enrollment in a master’s program in a relevant technical field.

Tools

• Python, pandas, numpy, spark.