Description
ICIS is looking for a Senior Data Scientist / Quantitative Analyst to join their team in Karlsruhe or London.
As a Senior Data Scientist, you will focus on creating market-leading predictive models and interactive analytics for Chemicals, the global supply network for petrochemical commodities, recycling materials and their end-use applications.
Key responsibilities include:
- Creating and continuously improving analytical commodity market models in Python
- Connecting, cleaning, and imputing freight, pricing, and supply/demand datasets from diverse internal and external sources
- Creating interactive analytics, planning and decision support tools that utilize & visualize data & models
- Discussing models with customers and translating gained domain knowledge back into models
- Working goal-driven and self-organized with own project management responsibility on developments
- Guiding and supporting others in the development of models and creating hands-on own implementations of framework enhancements
The ideal candidate will have:
- Minimum of 3 to 5 years of practical experience in predictive modelling in the context of (commodity) markets or trading
- Experience working goal-driven directly with internal/external customers to identify & solve high-value business problems
- Production-ready code in Python and SQL, using AI-code generation and Spec-Driven-Development in a productive & manageable way
- Experience with software development, containerization, and orchestration
- Curiosity & desire to understand the world
Benefits include:
- Work on problems that matter
- Build the future of AI in commodity markets
- Work with exceptional people
- Enjoy corporate benefits, including support for fitness studio, pension & public transport, 20 days work from anywhere and 4 days extra leave for social & sustainability engagement
Salary range: €71,600 - €119,400.