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Energy Trading Data Scientist

2 months ago

London, Greater London, United Kingdom INEOS Energy Full time
Job Description

Organisational Context and Job Purpose

The INEOS Energy Trading (IET) team forms part of the INEOS Energy group, which combines the company's fully integrated oil and gas exploration and production operations with its clean energy research and development activities.

IET is responsible for trading the gas production from INEOS' upstream assets in the North Sea and also provides access to market for its internal businesses in countries across Europe with a significant overall energy demand (gas, financial power, carbon).

Key Responsibilities

  • Contribute to the development of AI and machine learning capabilities for INEOS Energy Trading
  • Play a crucial role in the analytical team, enabling the use of market pricing and fundamental data to support the trading desk analysis for UK and Continental gas, prompt and curve, Carbon, LNG, and Oil
  • Help build and maintain a comprehensive database (both historical and real-time) and leverage this data by designing and maintaining 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 and suggest improvements
  • Work with third-party vendors to supply data and conduct exploratory and investigative analysis on new data sources
  • Build and maintain a dashboard for the analytical and trading team
  • Support ad-hoc analysis for the trading desk and wider INEOS business

Required Background

  • Bachelor's or master's in mathematics, finance, statistics, engineering, computer science, or a related field
  • Strong analytical skills, programming skills (Python preferred), ability to build/validate models, and apply data science and machine learning to operational topics
  • Experience in the energy sector would be beneficial but not essential (ideally gas, power, carbon)
  • Experience of getting the best results from messy data sets
  • Ideal role for someone with approximately 2 years of experience

Technical Skills

  • Strong Python coding skills
  • Attention to detail/thirst for real answers from data (how, why, what, when)
  • Build/maintain ETL processes to feed IET's data warehouse from various source APIs
  • Experience with traditional statistical and ML-based methods for time-series modelling
  • Experience in working multiple data types, including time series data
  • 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)
  • Experience of data storage platforms (SQL, NoSQL, Map-Reduce frameworks, etc.)
  • Experience presenting data visually (Plotly, D3, Tableau)
  • Apply machine learning models/optimization in creative ways to heterogeneous data sets

Behavioural Skills

  • Analytical thinker and a commercial mindset
  • Strong interpersonal skills and the ability to communicate with both business and technical-minded colleagues at all levels
  • Versatile worker who enjoys working within a team environment
  • High energy levels and a hands-on approach