Energy Forecasting Specialist
2 months ago
About the Role
We are seeking a talented and experienced Energy Data Scientist to join our dynamic team. In this role, you will play a pivotal part in developing and refining our short-term energy market forecasting models. Your expertise will be instrumental in providing valuable insights to our clients, helping them make informed decisions in the ever-evolving energy landscape.
Key Responsibilities
- Lead the development and implementation of cutting-edge data science forecasts for short-term energy markets, initially focusing on Great Britain and expanding across Europe.
- Enhance and maintain our existing forecasting suite by collaborating closely with clients to understand their specific needs and challenges.
- Act as a liaison between technical teams and clients, translating complex data insights into actionable recommendations for traders with varying levels of technical proficiency.
- Contribute actively to the Coding Team, working alongside energy full-stack developers and consultants to deliver innovative solutions.
- Stay abreast of the latest advancements in machine learning, data science techniques, and industry trends.
Required Skills and Experience
- Proficiency in Python, including experience with machine learning libraries such as TensorFlow and scikit-learn.
- Minimum of 4 years of experience in the energy sector, specializing in short-term power market forecasting.
- Familiarity with GitHub or Azure DevOps is highly desirable.
- Knowledge of SQL is a plus.
- Excellent communication and interpersonal skills, with the ability to effectively convey technical information to non-technical audiences.
- A strong analytical mindset and problem-solving aptitude.
- Bachelor's degree in a numerical or computer science field; other backgrounds will be considered.
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