Revolution Technology
Lead Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Scientist on an initial 6-month contract, offering £"pay rate" with 4 days onsite in London and 1 day remote. Key skills include Python, ML frameworks, AWS, and expertise in energy trading.
🌎 - 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
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#ML (Machine Learning) #Airflow #Docker #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Python #Data Science #Time Series
Role description
Lead Data Scientist
Initial 6 month Contract | 4 days onsite (London) 1 day remote
We currently are looking for a Lead Data Scientist to join an exciting project with our consultancy client. You’ll combine deep energy market expertise with advanced data science and machine learning techniques to design and deliver data-driven trading and optimisation solutions
What I’m looking for :
• Experience developing and deploying production-quality ML models (Python, ML frameworks, MLOps).
• Proven experience in utilities, power, or energy trading; familiarity with trading mechanisms and asset classes.
• Demonstrated ability to lead cross-functional data science projects, mentor peers, and set standards in a collaborative environment.
• Expertise in time series modelling, back testing, and extracting insights from complex multi-dimensional data.
• Hands on experience with AWS, Docker, and ETL/ELT pipelines using Airflow, Dagster, or Prefect.
Lead Data Scientist
Initial 6 month Contract | 4 days onsite (London) 1 day remote
We currently are looking for a Lead Data Scientist to join an exciting project with our consultancy client. You’ll combine deep energy market expertise with advanced data science and machine learning techniques to design and deliver data-driven trading and optimisation solutions
What I’m looking for :
• Experience developing and deploying production-quality ML models (Python, ML frameworks, MLOps).
• Proven experience in utilities, power, or energy trading; familiarity with trading mechanisms and asset classes.
• Demonstrated ability to lead cross-functional data science projects, mentor peers, and set standards in a collaborative environment.
• Expertise in time series modelling, back testing, and extracting insights from complex multi-dimensional data.
• Hands on experience with AWS, Docker, and ETL/ELT pipelines using Airflow, Dagster, or Prefect.
