

Natobotics
ETRM Data Modeler
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ETRM Data Modeler in London, offering a 12-month contract with a hybrid work mode. Requires 10 years of experience in global energy markets, strong analytical skills, and proficiency in Python and data modeling techniques.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 7, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
London, England, United Kingdom
-
🧠 - Skills detailed
#ML (Machine Learning) #NumPy #Datasets #Data Engineering #Python #Regression #Libraries #Data Pipeline #Pandas #Data Science #Time Series
Role description
Title: ETRM Data Modeler
Experience: 10years
Work mode: Hybrid, 3 days WFO
Contract duration: 12 Months
Location: London
JOB DETAILS
Key Accountabilities
• Knowledge and experience in global energy markets with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading
• organization.
• Strong communication skills with the ability to communicate analytics to necessary stakeholders and influence commercial decisions.
• Develop and implement fundamental balances, pricing models and other tools to surface commercial opportunities within the low-carbon, power, gas, and oil markets, harnessing best practices and advanced modelling techniques.
• Engage with stakeholders (traders and analysts) to ensure that solutions/models are optimal and deliver deep commercial insight.
• Identify repetitive processes that can be standardized into modules that can be reused across projects.
• Undergraduate degree in STEM subject or quantitative discipline.
• Knowledge of European energy markets (e.g. gas, LNG, or power).
• Understanding of supply and demand drivers together with how physical and related financial instruments are traded.
• Track record of working with traders or other business stakeholders to create commercially actionable models.
• Experience with a range of modelling techniques including, regression, time series analysis, forecast modelling and machine learning.
• Excellent problem-solving skills.
• Experience using a coding language to develop models and analytical tools.
• Experience manipulating and analyzing large, complex datasets.
Desirable Experience & Skills
• Practical knowledge of data engineering practices (designing and building robust data pipelines)
• Knowledge of python and core libraries applicable to data science (e.g., pandas, numpy, statsmodel)
Title: ETRM Data Modeler
Experience: 10years
Work mode: Hybrid, 3 days WFO
Contract duration: 12 Months
Location: London
JOB DETAILS
Key Accountabilities
• Knowledge and experience in global energy markets with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading
• organization.
• Strong communication skills with the ability to communicate analytics to necessary stakeholders and influence commercial decisions.
• Develop and implement fundamental balances, pricing models and other tools to surface commercial opportunities within the low-carbon, power, gas, and oil markets, harnessing best practices and advanced modelling techniques.
• Engage with stakeholders (traders and analysts) to ensure that solutions/models are optimal and deliver deep commercial insight.
• Identify repetitive processes that can be standardized into modules that can be reused across projects.
• Undergraduate degree in STEM subject or quantitative discipline.
• Knowledge of European energy markets (e.g. gas, LNG, or power).
• Understanding of supply and demand drivers together with how physical and related financial instruments are traded.
• Track record of working with traders or other business stakeholders to create commercially actionable models.
• Experience with a range of modelling techniques including, regression, time series analysis, forecast modelling and machine learning.
• Excellent problem-solving skills.
• Experience using a coding language to develop models and analytical tools.
• Experience manipulating and analyzing large, complex datasets.
Desirable Experience & Skills
• Practical knowledge of data engineering practices (designing and building robust data pipelines)
• Knowledge of python and core libraries applicable to data science (e.g., pandas, numpy, statsmodel)






