Description
ICIS is looking for a Lead Data Scientist or Quantitative Analyst to join their Analytics Hubs in Karlsruhe or London.
The successful candidate will be responsible for creating market-leading predictive models and interactive analytics for market fundamentals, prices, supply, demand & trade in the context of Chemicals.
Key responsibilities include:
- Creating and continuously improving analytical commodity market models in Python
- Guiding, project-managing, developing & retaining market modelling talent
- 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 data & models
- Discussing models with customers and sharing domain knowledge
- Working goal-driven and self-organized with own project management responsibility
The ideal candidate will have:
- Minimum of 5 years of practical experience in predictive modelling in the context of (commodity) markets or trading
- Experience working as a team goal driven directly with internal/external customers
- Production-ready code in Python and SQL
- Data modelling, transformation, and visualization skills
- Experience with software development, containerization, and orchestration
Benefits include:
- Work on problems that matter
- Build the future of AI in commodity markets
- Work with exceptional people
- Enjoy corporate benefits such as support for fitness studio, pension & public transport
Salary range: €71,600 - €119,400.