At a Glance
- Tasks: Develop machine learning models for power market forecasting and collaborate with traders.
- Company: Leading firm in the energy sector based in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting opportunity to work in a fast-paced environment with career advancement potential.
- Why this job: Join a dynamic team and make a real impact on renewable energy forecasting.
- Qualifications: Strong Python/MLOps experience and SQL knowledge required.
The predicted salary is between 50000 - 70000 £ per year.
Our client in London is seeking a Power Analyst – Data Scientist to develop and advance machine learning forecasting models for European power markets, collaborating with traders and data teams to improve forecasting accuracy and trading performance.
You will build forecasting pipelines, onboard new data feeds, monitor data quality, and enhance model features as renewable generation evolves, with strong Python/MLOps experience and SQL knowledge.
Power Markets Data Scientist: Time-Series Forecasting employer: Marlin Selection Recruitment
Join a dynamic and innovative Commodity Trading firm in London, where you will be part of a collaborative team dedicated to excellence in trade operations. The company offers a supportive work culture that prioritises employee growth through continuous learning opportunities and mentorship, ensuring you can advance your career while making a meaningful impact in the energy sector. With competitive benefits and a focus on work-life balance, this is an excellent opportunity for those looking to thrive in a fast-paced environment.
Contact Details:
Marlin Selection Recruitment Recruitment Team
