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Energy Trading Data Scientist
2 months ago
Job Summary:
We are seeking a highly skilled Energy Trading Data Engineer/Scientist to join our team at INEOS Energy. As a key member of our analytics team, you will play a crucial role in driving forward AI and machine learning capabilities for INEOS Energy Trading.
Key Responsibilities:
- Develop and maintain industry-leading forecasting solutions with a focus on energy commodity price dynamics.
- Support the development of energy price forecasting models, including AI-based trading strategies.
- Analyse and challenge modelling methodologies, suggesting improvements.
- Work with third-party vendors to supply data, conducting exploratory and investigative analysis on new data sources.
- Build and maintain a comprehensive database, leveraging data to inform trading decisions.
- Support ad-hoc analysis for the trading desk and wider INEOS business.
Requirements:
- Bachelor's or master's degree in mathematics, finance, statistics, engineering, computer science, or a related field.
- Strong analytical skills, programming skills (Python preferred), and ability to build/validate models.
- Experience in the energy sector is beneficial but not essential.
- Ability to work with messy data sets and extract valuable insights.
Technical Skills:
- Strong Python coding skills.
- Experience with traditional statistical and ML-based methods for time-series modelling.
- Experience with widely used data science toolkits of Python (NumPy, pandas, scikit-learn, TensorFlow, tidyverse, mlr).
- Data visualization and dashboarding skills (e.g. Power BI, R Shiny).
- Experience of working on projects within the cloud (e.g. AWS).
Behavioural Skills:
- Analytical thinker with a commercial mindset.
- Strong interpersonal skills and ability to communicate with both business and technical-minded colleagues.
- Versatile worker who enjoys working within a team environment.
About INEOS Energy:
INEOS Energy is a leading energy company with a strong presence in the global energy market. Our team is dedicated to delivering innovative solutions to the energy sector, and we are seeking a talented individual to join our analytics team.
How to Apply:
Please submit your application by [Closing Date] to be considered for this exciting opportunity.