Energy Pricing & Data Science Specialist

Relx Plc; Greater London; Sur place; GBP 55 000 - 90 000; Plein temps

Résumé du poste

ICIS seeks a Computational Energy Pricing Specialist to blend energy market analysis, price reporting, and data science to assess European gas and power markets. You will support pricing methodologies and analytical tools, working with experts to deliver trusted market intelligence and enhance pricing processes.

The role involves developing Python code for automation, maintaining pricing models, and translating market insights into robust model assumptions for diverse stakeholders.

Qualifications

• Proficient in Python and data-analysis libraries for market data processing.
• Strong numerical accuracy and ability to interrogate large datasets for signals.
• Knowledge of commodity markets and energy pricing context is advantageous.
• Clear written and spoken English with ability to explain technical concepts to non-technical stakeholders.

Responsabilités

• Assess prices and explain market drivers across European energy markets.
• Contribute to clear, timely market commentary and data-led analysis.
• Develop Python code and applications to automate data gathering, quality checks, calculations and pricing workflows.
• Lead model maintenance, development and innovation, including testing, documentation, monitoring, debugging and deployment of enhancements.
• Translate market expertise into model assumptions and communicate methodologies and outputs.

Connaissances

Python

Data analysis

SQL

Dash

Cloud tools

Version control

Numerical accuracy

Market knowledge

English communication

Collaboration

Outils

Dash

SQL

Pandas

Git

Cloud platforms

Description du poste

ICIS seeks a Computational Energy Pricing Specialist to blend energy market analysis, price reporting, and data science to assess European gas and power markets. You will support pricing methodologies and analytical tools, working with experts to deliver trusted market intelligence and enhance pricing processes.

The role involves developing Python code for automation, maintaining pricing models, and translating market insights into robust model assumptions for diverse stakeholders.