Energy Meteorologist (all)
Together with you we want to explore the rise of machine learning-based weather forecasting and capitalise on weather-driven trading opportunities. You will take a leading role within our teams for this activity and contribute actively to the trading results of the company.
Your role
- Share your expertise of weather patterns directely with the traders and communicate meteorological insights to specific stakeholders within the organisation
- Develop, implement and maintain enhanced models to predict weather patterns using machine learning-based weather prediction (MLWP). We will support you if you want to apply this knowledge to trading weather derivatives yourself
- Monitor and analyse meteorological data from various sources to improve trading decisions and forecast anomalies and their impact on energy prices
- Benchmark weather forecasting models and collaborate with data scientists to improve them
Your skills
- You have a higher education degree
- A minimum of 2 years of experience in a similar role is required
- You bring proven expertise in weather forecasting and knowledge about European energy markets
- Fluency in English is mandatory, additional language skills in German are beneficial
- Your excellent analytical skills and your proficiency in coding languages such as Python stand out
- You have experience in data-driven and machine learning-based weather forecasting systems (GraphCast, Pangu, ...) and handling of raw data (grib, Zarr, NetCDF, ...)
- Adaptability, flexibility and the ability to work under pressure characterizes you
We are not interested in enquiries from recruitment agencies.
What you can look forward to
As a responsible employer, we offer:
- Fair and market-oriented remuneration
- Flexible working models
- Personalised training and development opportunities
- Comprehensive health management system
- A progressive infrastructure
At a glance
Questions about the position
Questions about the application process
We use the term 'all' in our job titles because the BKW Group values a diverse workforce and welcomes applications from all sections of the community regardless of age, gender, social or ethnic origin, skin colour, nationality, language, sexual orientation/identity or religion.