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Data Scientist/Engineer

2 months ago

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

We are seeking a highly skilled Data Scientist/Engineer to join our Energy Trading team at INEOS Energy. As a key member of the team, you will be responsible for driving forward AI and machine learning capabilities to optimize energy trading and portfolio benefits.

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.
  • Analyze and challenge modeling methodologies, suggesting improvements.
  • Work with third-party vendors to supply data, conducting exploratory and investigative analysis on new data sources.
  • Build and maintain a dashboard for analytical and trading teams.
  • Support ad-hoc analysis for trading desks and the wider INEOS business.
Requirements
  • 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 is beneficial but not essential.
  • Experience of getting the best results from messy data sets.
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 modeling.
  • 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.