Gas and LNG Data Analyst; FTC
Listed on 2026-07-19
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IT/Tech
Data Analyst, Data Scientist, Data Engineering
Location: Greater London
Gas and LNG Data Analyst (12 Month FTC)
Department: Analysis
Employment Type: Full Time
Location: London, UK
Reporting To: Head of Data Analysis
DescriptionWho We Are
Petroineos Trading Limited (PITL) is a joint venture between Petro China International London (PCIL), the international trading arm of Petro China, and INEOS, one of the world’s leading petrochemical, chemical and energy companies. Established in 2011, PETR combines the global trading and supply capabilities of Petro China with the refining, manufacturing and energy expertise of INEOS, creating an integrated energy trading and refining business with a significant presence across European and international markets.
Petro China International forms part of Petro China Company Limited, the publicly listed arm of China National Petroleum Corporation (CNPC), one of the world’s largest integrated energy companies. Through its global network, Petro China International operates across major trading hubs including London, Singapore and Houston, supporting international trading, logistics, storage and energy supply operations.
By leveraging the strategic strengths of both shareholders, Petroineos has built a strong position across refining, energy trading, logistics and market access. Today, the wider group participates in global crude oil, refined products, natural gas, LNG, power and environmental markets, supported by extensive infrastructure, commercial partnerships and trading capabilities.
Who You Are / Your Next Challenge
As part of our continued investment in data, analytics and artificial intelligence capabilities, Petroineos Trading Limited (PITL) is expanding its European Gas and LNG analytics function. We are seeking a curious, commercially aware and technically capable Gas and LNG Data Analyst to join our growing AI Foundry (AIF) team on a full‑time / 12‑month fixed‑term contract basis.
This role is ideal for an individual with prior experience in data analytics, data engineering or quantitative analysis who enjoys transforming complex datasets into meaningful market intelligence. Whether your experience has been gained within energy, commodities, financial services, technology or another data‑driven environment, this position offers an exciting opportunity to apply modern data and AI technologies to support front‑office trading activities.
Based in our London office and reporting to the Head of Data Analysis, you will work closely with Data Scientists, Traders and Commercial teams to develop the data and analytical models that underpin our understanding of the European Gas and LNG markets. You will have the opportunity to work with a wide range of data sources, including supply and demand fundamentals, storage inventories, pipeline flows, LNG vessel movements and market intelligence datasets.
This is a hands‑on role for someone who enjoys solving complex problems, by utilising scalable data solutions and technology to build data‑driven decision‑making analytics. You will be responsible for transforming raw and often unstructured information into robust, automated data products that support trading strategies, market analysis and forecasting activities.
Working within a collaborative and innovative environment, you will gain exposure to modern data platforms, AI‑enabled development tools and front‑office market activity, while helping shape the future of our European Gas and LNG analytics capability. If you are looking for a role where you can combine technical expertise, commercial awareness and innovation, we would like to hear from you.
Key Responsibilities- Develop and maintain automated data collection processes using APIs, web‑scraping tools and external market data sources.
- Source, validate and monitor datasets to ensure high levels of accuracy, quality and reliability.
- Clean, transform and model data using Python, Pandas and SQL.
- Support European Gas and LNG analysis through datasets covering flows, storage, supply and demand fundamentals, and cargo tracking.
- Analyse data to identify trends, anomalies and market insights that support business decision‑making.
- Build dashboards, visualisations and analytical tools for traders and…
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