Women in Trading – Data Scientist

Overview

In this role you will develop and maintain forecasting models for GB and Western Europe energy demand and renewable generation. You’ll build data pipelines and integrate internal and external data to deliver market-leading insights for intraday trading. You will collaborate across Trading, Renewables and Flexibility teams to translate forecasts into price signals and operational decisions. This role sits in a collaborative, tech-first culture focused on the Net Zero transition and meaningful impact across the energy system. You’ll have autonomy to experiment and deploy models that directly affect real-world trading and energy outcomes.

Pay / Benefits

• autonomy and supportive culture
• employee benefits hub
• equal opportunity employer
• flexible/hybrid working
• training and development opportunities

Responsibilities

• Identify data needs to trade the GB intraday power market
• Build, improve, and maintain models forecasting demand and renewable generation (GB, with expansion to Western Europe)
• Discover high-quality, novel data sources for forecasts
• Develop forecasting framework and tools
• Automate forecasting processes with checks and alerting
• Use forecasting outputs to enhance price forecasts
• Collaborate with Trading, Renewables, Flexibility and other teams to leverage combined data
• Develop software and front-end systems within the team

Key requirements

• Proficiency in Python
• Understanding of forecasting techniques and ability to create baselines and iterate
• Ability to communicate approach, strengths, and limitations
• Ability to grasp commercial and industry concepts quickly
• Team player with impact across multiple projects
• Passion for Net Zero
• Desire to deploy models into real-world operations
• Hands-on experience applying Machine Learning
• GB electricity industry experience is useful but not required

• team player
• clear communicator
• flexible and collaborative
• Python
• Forecasting techniques
• Machine Learning

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