Data Scientist

INEOS Energy

London, England, United Kingdom

London, England, United Kingdom

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Über

INEOS Energy Trading operates as the single face to the Gas, LNG, Power, Carbon, and Crude Oil commodity markets for INEOS. Our core mission is to fully monetise INEOS Energy’s equity Oil and Gas production across Europe and the US. Beyond this, the Trading and Business Development teams are tasked with originating and developing complementary third-party physical business. We also support the wider INEOS group by leveraging our carbon trading capabilities and supplying LNG, Gas, and Power to INEOS’s industrial base. Our team is on an exciting growth journey, and we anticipate continued growth across both new commodities and geographies, as the business evolves to support INEOS Energy’s expanding global footprint. We are seeking a Data Scientistto join our small, dynamic data team. This role involves developing forecasting models, maintaining data infrastructure, and supporting analytics to drive trading decisions. You will work with diverse datasets and modern tools to create, automate, and enhance processes that strengthen IET’s analytical and trading capabilities across energy markets (gas, oil, carbon, LNG). As part of a two-person data team, you will collaborate closely with our Data Engineer, sharing responsibilities for infrastructure and model development. This is an opportunity to shape the future of data-driven trading at INEOS. RESPONSIBILITIES & ACCOUNTABILITIES Model Development: Create and maintain machine learning and AI models (initial focus on forecasting) using proper lifecycle management. Data Analysis: Provide detailed technical analysis of model outputs and methodologies. Collaboration: Work with the analytics team to enhance existing models and support trading insights. AI/ML Advancement: Drive forward AI and machine learning capabilities within IET. Infrastructure Support: Assist in maintaining and developing database infrastructure and related tooling. Methodology Review: Analyse and challenge modelling approaches, suggesting improvements. Visualization: Build and maintain dashboards for analytics and trading teams. Ad-hoc Analysis: Support trading desk and wider INEOS business with data-driven insights. SKILLS, EXPERIENCE & EDUCATION University degree in a STEM subject (data-related discipline preferred). Strong proficiency in Python and SQL. Knowledge of statistical techniques, machine learning models, and validation methodologies. Experience with ML frameworks (e.g., PyTorch, scikit-learn). Familiarity with cloud platforms (Azure, AWS, Snowflake) preferred. Exposure to energy markets or trading environments is a plus. BEHAVIOURAL SKILLS & PERSONAL ATTRIBUTES Excellent communication, adaptability, and ability to work both independently and collaboratively. Team player. WHY JOIN US? Opportunity to work on impactful forecasting models and cutting-edge analytics. Dynamic role offering exposure to both data science and engineering. Small, agile team with significant influence on trading strategy. Career growth within a global business. Please note this role is based onsite at our Knightsbridge office.
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London, England, United Kingdom

Sprachkenntnisse

English

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