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Data Scientist
Octopus Energy. Explore the types of data needed to effectively trade the GB intraday power market .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Python programming and machine learning techniques to develop and maintain forecasting models for the electricity market. Capable of building data pipelines and communicating complex forecasting approaches effectively within a team-oriented environment.
Highest-signal resume keywords
Python ProgrammingMachine LearningForecasting TechniquesData Pipeline DevelopmentElectricity Industry Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Forecasting ModelsData AnalysisStatistical TechniquesModel AutomationData Quality Assessment
Soft Skills
Team CollaborationEffective CommunicationProject OwnershipAdaptabilityPassion for Sustainability
Tools & Technologies
Forecasting FrameworksData Processing ToolsAlerting SystemsClassical TechniquesMarket Insights Tools
Industry Keywords
GB Intraday Power MarketRenewable GenerationElectricity Demand ForecastingNet Zero InitiativesCommercial Concepts
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Explore the types of data needed to effectively trade the GB intraday power market
- Build, improve, and maintain models forecasting electricity demand and renewable generation, primarily in GB and eventually across Western Europe
- Find high-quality, novel data sources for forecasts
- Develop forecasting frameworks and tools
- Maintain and automate forecasting processes, including checks and alerting
- Use forecasting models to build or enhance price forecasts
- Collaborate with Trading, Renewables, Flexibility, and other teams
- Build data pipelines combining internal and external data to create market-leading insights using classical and machine learning techniques
Requirements
What you’ll need- Experience with Python is essential
- Good understanding of forecasting techniques and ability to build a simple baseline and iterate quickly
- Ability to communicate forecasting approaches, including strengths and limitations
- Ability to quickly understand commercial and industry concepts
- Team-oriented approach and ownership across multiple projects and tools
- Passion for driving towards Net Zero
- Experience with Machine Learning is essential
- Experience in the electricity industry in GB would be useful but is not required
Benefits
Comp & perks- Flexible salary matching based on experience
- Employee benefits and perks through the Octopus Employee Benefits perks hub
- Flexible interview accommodations and customised interview process
- Inclusive work environment and equal opportunities
- Autonomy in work and opportunities to learn, decide, and build quickly
- Opportunity to work on innovative projects contributing to the transition to Net Zero
- Collaboration with a wide range of co-owners and teams