Energy Trading Data Scientist: Forecasting & ML

Energy Trading Data Scientist: Forecasting & ML

Full-Time 30000 - 40000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Apply machine learning to energy markets and develop forecasting models for trading decisions.
  • Company: Join a leading energy trading organisation with a focus on innovation.
  • Benefits: Gain valuable experience, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with opportunities to work alongside traders and analysts.
  • Why this job: Make an impact in the energy sector while working with cutting-edge technology.
  • Qualifications: Experience in data science and machine learning; passion for energy markets.

The predicted salary is between 30000 - 40000 Β£ per year.

Bonhill Partners is partnering with a leading energy trading organisation to recruit a Data Scientist to join its Analytics team.

This early-career role focuses on applying machine learning to energy markets, developing forecasting models that support trading decisions across power, gas and other energy markets.

You will work with Traders, Quantitative Analysts and Technology teams, contributing to model development, validation and deployment, and building scalable data pipelines.

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Energy Trading Data Scientist: Forecasting & ML employer: Bonhill Partners

Bonhill Partners offers an exceptional work environment for Data Engineers, providing the opportunity to engage with cutting-edge technologies in a dynamic global commodities trading setting. Employees benefit from a culture of innovation and collaboration, alongside ample opportunities for professional growth and development. Located in a vibrant industry hub, the company fosters a supportive atmosphere that values creativity and encourages team members to push the boundaries of data engineering.

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Contact Details:

Bonhill Partners Recruitment Team

We think you need these skills to ace Energy Trading Data Scientist: Forecasting & ML

SQL
Python
Problem-Solving Skills
Communication Skills
Data Pipeline Development
Data Engineering
Automation