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
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💰 - Day rate
Unknown
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🗓️ - Date
November 7, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - 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)