Weather-Driven Meteorologist for Energy Trading

Weather-Driven Meteorologist for Energy Trading

Full-Time 40000 - 50000 Β£ / year (est.) No working from home possible
Statkraft

At a Glance

  • Tasks: Analyse weather data to shape energy trading strategies and develop meteorological models.
  • Company: Join Statkraft, a leader in renewable energy with a focus on innovation.
  • Benefits: Enjoy competitive pay, growth opportunities, and a chance to impact the future of energy.
  • Other info: Be part of a dynamic team dedicated to renewable energy and innovative trading.
  • Why this job: Combine your passion for meteorology and data analysis to drive sustainable energy solutions.
  • Qualifications: Degree in a related field and proficiency in Python and data pipelines.

The predicted salary is between 40000 - 50000 Β£ per year.

Statkraft is seeking a Meteorologist to support trading activities in London, blending meteorology and quantitative analysis to influence trading strategies.

Responsibilities include:

  • Delivering operational weather analysis
  • Developing meteorological models
  • Working with large datasets

The ideal candidate will possess a degree in a related field and strong skills in Python and data pipelines. Competitive employment terms and growth opportunities await those passionate about contributing to renewable energy.

Weather-Driven Meteorologist for Energy Trading employer: Statkraft

As a leading player in the renewable energy sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. With opportunities for professional growth and development, particularly in the dynamic field of hydropower, our remote working model allows for flexibility while still engaging with diverse stakeholders across the UK. Join us to make a meaningful impact on sustainable energy solutions while enjoying a supportive environment that values safety and teamwork.

Statkraft

Contact Details:

Statkraft Recruitment Team

We think you need these skills to ace Weather-Driven Meteorologist for Energy Trading

Meteorological Analysis
Quantitative Analysis
Operational Weather Analysis
Meteorological Modelling
Large Dataset Management
Python
Data Pipelines