Job Summary

• You will lead the development and deployment of advanced forecasting models for Gas & Power demand to ensure accuracy and robustness.
• The role requires applying machine learning methods such as gradient boosting and deep learning while collaborating with trading and data engineering teams.
• Candidates will benefit from flexible working hours, competitive salary, and opportunities to work on the energy transition at a global leader.

Matching Summary

Salary

Competitive starting salary; Annual performance-related salary increase; Paid parental leave and flexible working hours

Skills & Requirements

Key Requirements

• Significant experience improving and deploying forecasting models
• Proficiency in Python, R, and SQL
• Deep time-series/predictive modelling expertise

Work Rights