# Data Analytics Intern (H1 2027) [Glencore](https://www.jorb.ai/firms/glencore.md) · Singapore · [Analytics / BI](https://www.jorb.ai/jobs/analytics-bi.md) Glencore is hiring a Data Analytics Intern (H1 2027) in Singapore. Posted 2026-09-24; applications close 2026-11-23. **Apply**: https://glencorecorp.wd3.myworkdayjobs.com/External/job/Singapore/Data-Analytics-Intern_R200001786 Posted 1d ago. ## Role details ## Data Analytics Intern — Trading As a Data Analytics Intern — Trading, you will work on real business requirements alongside analysts, quants, and data engineers. Your role is to help us maximize our data by extracting and cleaning it, automating manual processes, and building the tools and analytics that trading teams rely on. This is a hands-on, technical role that requires coding—from data cleaning in Python or SQL through to automation, analysis, and the application of AI. The depth of your work will be matched to your skills and the immediate needs of the desk. This role is situated within the analytics function supporting the trading desks, focusing on transforming data into insights that inform market decisions. Exceptional candidates will have the opportunity to work increasingly closely with the trading desks over time. ### Advanced Scope (Quant & Engineering) If you possess serious quantitative and coding depth, you can take on more advanced responsibilities, including building statistical/ML models and conducting backtesting research on large datasets that feed directly into trading workflows. ## Key Responsibilities - Extract and clean data from APIs, web sources, portals, and internal databases. - Write Python/SQL to build the pipelines, scrapers, and tools required by the desk. - Apply Large Language Models (LLMs) and AI tools to tasks that previously required manual effort. - Prepare charts, dashboards, and summaries for the trading desk. - Track vessel movements, cargo flows, refinery events, and supply/demand indicators. - Investigate and flag data-quality issues. - **Advanced Scope (Quant & Engineering):** - Develop statistical and machine-learning models for trading workflows. - Run quantitative research and backtesting on large datasets. - Build production-grade Python and automated data pipelines. - Optimize and refactor existing systems for improved performance and reliability. ## Education and Experience Requirements - Pursuing a degree in a STEM, quantitative, analytical, or business field (e.g., Engineering, Computer Science, Data Science, Mathematics, Statistics, Quantitative Finance, Economics, Finance, Business, or Business Analytics). - Proficiency in coding in Python and/or SQL, capable of handling tasks from data cleaning upward, or clear evidence of rapid learning ability. - Strong analytical, problem-solving, and attention-to-detail skills. - The ability to translate a business requirement into a tangible, working result. - An interest in commodities, shipping, or data-driven analytics. ## Nice to Have - Experience with data analysis, web scraping, or light automation. - Hands-on experience with Python data libraries (e.g., pandas, NumPy). - Familiarity with statistics or machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow). - Exposure to cloud/data platforms (Databricks, AWS, Azure). - Familiarity with BI tools (Power BI, Tableau). - Understanding of commodity fundamentals or shipping logistics. ## About Glencore Glencore is one of the world’s largest global diversified natural resource companies and a major producer and marketer of more than 60 commodities. Through a network of assets, customers, and suppliers spanning the globe, we produce, process, recycle, source, market, and distribute the commodities that advance everyday life. With over 140,000 employees and contractors, and a strong footprint in over 30 countries across both established and emerging regions for natural resources, our marketing and industrial activities are supported by a global network of offices. Glencore’s customers are principally industrial consumers, such as those in the automotive, steel, power generation, battery manufacturing, and oil sectors. We also provide financing, logistics, and other services to producers and consumers of commodities. ## Applying to this role This Data Analytics Intern (H1 2027) role at Glencore runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications. 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