Student Assistant - Energy Origination & Data Analytics

Centrica plc

Denmark

Remote

DKK 78,000 - 123,000

Part time

2 days ago
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Job summary

Centrica Energy in Denmark invites students to join a team moving energy toward a sustainable future. The role offers hands-on experience in wind and solar asset data, pricing requests, and internal tool development using Python and TypeScript/Angular.

You will study a degree and work at least 12 hours per week in Copenhagen or Aalborg, with a supportive, collaborative environment that values initiative and data-driven decision making.

Qualifications

  • Currently studying a degree in business, natural sciences, engineering, mathematics, or a related field.
  • Proficient in Microsoft Office, particularly Excel.
  • Enjoy working with data; ideally experience with Python or R. Knowledge of SQL and TypeScript/Angular is advantageous.
  • Structured and independent; eager to take initiative.
  • Excellent Italian language skills and good English proficiency.

Responsibilities

  • Support the handling of pricing requests for wind and solar energy assets
  • Process, analyse, and visualise production data
  • Communicate with operators of wind and solar parks
  • Support contract management activities
  • Contribute to the development and improvement of internal tools (Python, TypeScript/Angular)
  • Bring in and further develop your own ideas by contributing to market analyses, new business initiatives, and internal projects

Skills

Excel
Python
R
SQL
TypeScript/Angular
Data analysis
Initiative

Education

Bachelor's degree in a relevant field

Job description

Centrica Energy in Denmark invites students to join a team moving energy toward a sustainable future. The role offers hands-on experience in wind and solar asset data, pricing requests, and internal tool development using Python and TypeScript/Angular.

You will study a degree and work at least 12 hours per week in Copenhagen or Aalborg, with a supportive, collaborative environment that values initiative and data-driven decision making.

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