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About the Role
As a Senior Data Scientist, you will join a team of experienced Data Scientists focused on creating forecast models, predictive data, and interactive analytical tooling for trading and scenario planning. You will model commodity markets using a wide range of techniques and work in small teams with a high degree of ownership and direct collaboration with customers. Your work will focus on creating market-leading predictive models and interactive analytics for prices, supply, demand & trade for Chemicals, the global supply network for petrochemical commodities, recycling materials and their end-use applications, directly helping thousands of users quantify impacts to their markets.
Responsibilities
- Create and continuously improve analytical commodity market models in Python, co-developing quantitative market models for demand, supply, storage, trade, transport, market balance, and price forecasting.
- Connect, clean, and impute freight, pricing, and supply/demand datasets from diverse sources, transforming raw data into actionable market insight.
- Create interactive analytics, planning, and decision support tools utilizing data and models, innovating fast prototypes with Spec-Driven-Development.
- Deliver data and models into ICIS Data Lakehouse and shared platforms.
- Discuss models with customers, share market structure views, key drivers, and decision support, translating domain knowledge back into models.
- Build a deep understanding of operation and decision making in the markets.
- Work goal-driven and self-organized with project management responsibility.
- Guide and support others in model development and create implementations of framework enhancements.
- Actively share components, knowledge, and innovation with peers.
Requirements
- Minimum of 3 to 5 years of practical experience in predictive modelling within commodity markets, trading, supply, demand, or prices.
- Knowledge of assumption-based scenario modelling and marginal supply cost curves.
- Experience working goal-driven directly with internal/external customers to identify and solve high-value business problems, with strong self-organization.
- Strong communication and engagement skills, with the ability to explain complex concepts simply to stakeholders.
- Production-ready code in Python and SQL, utilizing AI-code generation and Spec-Driven-Development.
- Familiarity with common Data Science & analytics libraries.
- Experience with data modelling, transformation, and visualization (e.g., Python Dash).
- Experience with software development practices (modularization, versioning with GIT, tests, understandable code).
- Experience with containerization (Docker) and orchestration (Airflow).
- Habit of starting simple to get early buy-in and iterating on feedback.
- Curiosity and a desire to understand the world.
Skills
- Python
- SQL
- AI-code generation
- Spec-Driven-Development
- Data Science libraries
- Analytics libraries
- Data modelling
- Data transformation
- Data visualization
- Python Dash
- Software development
- Modularisation
- Versioning (GIT)
- Testing
- Containerization (Docker)
- Orchestration (Airflow)
- Chemical industry knowledge (plus)
- Databricks (plus)
- Snowflake (plus)
Location
- Karlsruhe, Germany
- London
Work Type
- Full-time
Experience Level
- Senior
Salary/Compensations
- €71,600 - €119,400
Benefits
- Support for fitness studio
- Pension
- Public transport support
- 20 days work from anywhere
- 4 days extra leave for social & sustainability engagement
- Ongoing learning and professional development opportunities
- Country-specific benefits
About the Company
- ICIS is part of Risk Solutions Group (RSG), a division of RELX Group, a FTSE 20 company with revenues of $12.6 billion in 2025 and over 37,000 employees serving customers in 180+ countries.
- ICIS provides data services, thought leadership, and decision tools to make global commodity markets more trusted and predictable, serving the energy, petrochemical, and fertilizer industries.
- ICIS has a global presence with over 700 employees in locations worldwide.
- The Data Science team combines the energy of a start-up with the support and stability of a global organization.
- In 2025, the Data Science team achieved an Employee Net Promoter Score (eNPS) of 81.
Equal Opportunity
- ICIS is committed to building an inclusive workplace where everyone can thrive.
- We welcome applications from people of all backgrounds, experiences, and perspectives.
- Diverse teams create better products, make better decisions, and drive greater innovation.
- Qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.