Power Markets Data Scientist - Time-Series Forecasting

EDF Trading Ltd; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working

Pension plan

Private medical insurance

Dental insurance

Bi-annual health assessments

Gym memberships

Electric car lease programme

Childcare vouchers

Cycle-to-work scheme

Season ticket loans

Volunteering opportunities

Job summary

EDF Trading Ltd in London seeks a Power Analyst – Data Scientist to develop and improve time-series forecasting models for wind and solar, translating fundamentals into numerical price forecasts for traders.

You will extend embryonic models, add features for renewables, and automate pipelines while maintaining dashboards and collaborating with senior stakeholders in a fast-paced energy trading environment.

Qualifications

• Advanced graduate qualification (PhD or postdoctoral) in Machine Learning, Data Science, Statistics or Maths.
• Strong Python coding experience with knowledge of git and CI/CD.
• Experience with ML libraries (Pandas, Sklearn, PyTorch or Keras) and SQL.

Responsibilities

• Develop and improve time-series forecasting models for power markets (wind/solar).
• Automate forecasting pipelines and maintain dashboards for traders.
• Data collection, market intelligence, and coordinating new feeds with Data.
• Provide modelling advice to analysts and stakeholders.

Skills

Python

Git

CI/CD

Pandas

Sklearn

PyTorch

Keras

SQL

Excel

Education

PhD or higher in ML/Data Science/Statistics/Math

Tools

Databricks

Job description

EDF Trading Ltd in London seeks a Power Analyst – Data Scientist to develop and improve time-series forecasting models for wind and solar, translating fundamentals into numerical price forecasts for traders.

You will extend embryonic models, add features for renewables, and automate pipelines while maintaining dashboards and collaborating with senior stakeholders in a fast-paced energy trading environment.