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RWE Supply & Trading (Shanghai) Co. Ltd.
To start as soon as possible, full time /fixed term 

Functional area: Commercial / Trading

About the role

As a Data Scientist, you will apply advanced data, programming and quantitative modelling capabilities to support commodity trading and market analysis. You will design scalable analytical solutions, automate data workflows, and develop models that convert complex market data into useful commercial insights.

This role is suited to a technically strong candidate who has a genuine interest in commodity markets and is motivated to develop an understanding of the market fundamentals, pricing dynamics and trading questions behind the data

In particular, your responsibilities include:

• Designing and implementing automated data solutions by applying strong programming skills and a deep understanding of data processing pipelines.
• Processing large and complex datasets from multiple sources and formats, ensuring data quality, consistency and usability for analytical purposes.
• Applying statistical techniques to develop quantitative models supporting trading, research and strategic decision-making.
• Building predictive quantitative solutions for areas such as supply-demand forecasting, pricing mechanisms, trade flows and scenario analysis.
• Working closely with trading and analysis teams to understand business questions and translate them into robust, scalable data and modelling solutions.
• Proactively identifying and sourcing new datasets, while collaborating with internal IT teams to ensure accurate and reliable integration into internal platforms.
• Developing dashboards, visualizations and analytical outputs that clearly communicate model results and market-relevant conclusions.
• Continuously improving modelling methodologies, data workflows and analytical processes to enhance efficiency, accuracy and commercial value.

Job requirements and experience

• Strong programming skills (e.g. Python, Spark, SQL and other languages)
• Experience working with large datasets and developing quantitative models using tools such as Dremio, Databricks and Tableau
• Strong interest in commodities trading (Prior commodity experience is advantageous)
• A degree in computer science, mathematics, statistics, engineering, quantitative finance or a related discipline.
• Strong understanding of data processing, data modelling, statistical analysis and automated workflows.
• Language skills: fluent in English; proficiency in Mandarin.
• Strong team player with a high level of self-motivation and flexibility, capable of working in a trading environment and meeting tight deadlines.
• Mindset that reflects our values: take ownership, be entrepreneurial and curious, speak up and challenge, act as #TeamRWE across boundaries, foster diversity and inclusion, seek and provide feedback, prioritise health & safety, and drive execution with resilience and purpose

Advantageous, but not essential

• Grains knowledge (e.g. soybeans) and exposure to agricultural markets
• What we value most is someone who continuously demonstrates courage, thrives to create impact and seeks to build trusting, collaborative relationships. So, even if you think you do not yet display all of the skills listed above we would still like to hear from you.

Further we welcome applications from individuals who may not be able to commit to full-time roles. At RWEST, finding the right person for the job is our top priority, and we are willing to explore flexible arrangements.

Your benefits

At RWEST in Beijing, you'll work in highly efficient, collaborative teams with direct visibility to decisionmakers. We offer a comprehensive package designed to support your wellbeing as well as your personal and professional growth. Here's what you can look forward to:

• Meaningful impact: your models inform real trading decisions and shape commercial outcomes
• Growth and breadth: exposure to multiple commodities as the desk scale.
• Freedom to innovate scope to explore fresh methods and creative analytical solutions
• Collaboration and learning: partner closely with experienced traders, analysts and data engineers
• Flexibility by default: opportunities to join fulltime or parttime, depending on your circumstances

Apply with just a few clicks: ad code 92700Any questions? Contact HR: Aruna Richard, aruna.richard@rwe.com

We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too.

We value diversity and therefore welcome all applications - regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity. #inclusionmatters
RWE Supply & Trading is our connection to the world's energy markets. Headquartered in Essen, Germany, the company operates one of Europe's largest and most advanced energy trading floors. A diverse team of over 2,200 professionals from around 90 countries trades electricity, gas, commodities, and CO2 emission allowances. With precise market analysis and a strong customer focus, we create innovative energy supply solutions and tailored risk management concepts for industrial clients.
We also ensure the commercial optimisation of RWE's power plant portfolio and markets the electricity generated by RWE. In addition, legally independent RWE gas storage companies operate in Germany, contributing to a secure energy supply.