Ref: 533ASISW

Title: Data Scientist - Commodities Trading

Location: Zurich, Switzerland

Salary: Attractive

Date: 12th December 2025

Our client, a leading global financial institution, is looking for a Data Scientist to join their team. This role is ideal for someone with a strong background in quantitative methodologies, eager to develop and enhance analytics solutions that drive commodity management decisions. The ideal candidate will have strong Python, Azure, and Databricks experience, You will collaborate with digital teams and business stakeholders to identify priorities and optimize workflows, leveraging advanced data science techniques.

Duties Include:

• Work closely with business teams to identify opportunities where machine learning can enhance decision-making.
• Design, develop, and implement end-to-end machine learning models, including regression, classification, text analysis, and time series forecasting.
• Collect, process, analyze, and visualize large structured and unstructured datasets from internal and external sources.
• Apply appropriate modeling techniques to generate actionable insights and improve analytics solutions.
• Build, enhance, and maintain Azure and Databricks data pipelines, ensuring data accuracy, timeliness, and scalability.
• Monitor and enhance model performance, expanding scope as needed.
• Partner with data engineers to build scalable, repeatable data pipelines, ensuring consistency and robustness in analytics applications.
• Establish best practices for integration projects and data-driven initiatives.

The preferred candidate should possess experience working with Python code and strong knowledge of DevOps practices (e.g., Git, Agile methodology), Azure, and Databricks. As well as excellent communication and interpersonal skills and be able to interact at all levels of business efficiently.

If you are interested in this opportunity, please email your C.V. to [email protected] or call Altus Search on +41 (0) 41 560 02 21 for a confidential discussion.