In your role, you will primarily 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. As part of our foundational market data, you will specialize in global trade prices & volumes, shipping & logistics and their impact on global supply & demand. Your work will directly help thousands of users to quantify impacts to their markets.
Key Accountabilities/Responsibilities
Create and continuously improve analytical commodity market models in Python: Co-develop with our analysts & engineers strong quantitative market models, such as demand modelling, supply modelling for capacity & cost, storage, trade & transport modelling, market balance & market price forecasting. Apply mathematical optimization techniques to logistics and trading-related problems (e.g., routing)
Connect, clean, and impute freight, pricing, and supply/demand datasets from diverse internal and external sources. Turn raw, imperfect and incomplete data into actionable market insight
Create interactive analytics, planning and decision support tools that utilize & visualize data & models (eg Dash by Plotly). Innovate fast prototypes with Spec-Driven-Development. Deliver data and models into ICIS Data Lakehouse and shared platforms.
Discuss models with customers. Share our view on the market structure, key drivers & decision support. Translate gained domain knowledge back into models and build a deep understanding of operation and decision making in our markets
Work goal-driven and self-organized with own project management responsibility on developments from day 1.
Work with data engineers to productionize models and integrate new data sources into the platform
Guide and support others in the development of models as well as create hands-on own implementations of framework enhancements. Actively share components, knowledge & innovation with peers
Key Skills/Experience Required
Minimum of 3 to 5 years of practical experience in predictive modelling in the context of (commodity) markets or trading, particularly global trade flows, storage, supply chain logistics and their impact on supply, demand and prices. Knowledge of Mathematical/numerical optimization (e.g., linear programming, convex optimization). Ideally also assumption-based scenario modelling and cost curves
Experience to work goal driven directly with internal/external customers to identify & solve high-value business problems, self-organised. Strong communication and engagement, ability to explain complex concepts simply to stakeholders
Production-ready code in Python and SQL, using AI-code generation and Spec-Driven-Development in a productive & manageable way, familiar with common Data Science & analytics libraries
Data modelling, transformation, and visualization (eg Python Dash)
Experience with software development (modularisation, versioning eg with GIT, tests, understandable code), with containerization (Docker) and orchestration (Airflow)
Habit of starting simple first to get buy-in early and iterate on feedback to add value
Curiosity & desire to understand the world
A plus: existing knowledge of the chemical industry, Databricks & Snowflake
Ideally, familiarity with optimization libraries (e.g., Pyomo, SciPy, Gurobi/CPLEX)
Why Join ICIS?
Work on Problems That Matter: global organizations make better decisions using data, analytics and AI
Build the Future of AI in commodity markets: Play a key role in shaping next-generation AI products and capabilities that will influence the future of our business and our industry
Work with Exceptional People: Join a multidisciplinary team of data scientists, engineers, economists, industry experts and product leaders who are passionate about innovation and customer impact
Enjoy Corporate Benefits: e.g. support for fitness studio, pension & public transport, 20 days work from anywhere and 4 days extra leave for social & sustainability engagement and ongoing learning and professional development opportunities
Join a Team That Loves What It Does
Our Data Science team combines the energy of a start-up with the support and stability of a global organization of more than 37,000 employees. In 2025, our Data Science team achieved an Employee Net Promoter Score (eNPS) of 81, reflecting a highly engaged and supportive culture.
ICIS is committed to building an inclusive workplace where everyone can thrive. We welcome applications from people of all backgrounds, experiences and perspectives. We believe diverse teams create better products, make better decisions and drive greater innovation. If you're excited about this opportunity but don't meet every requirement, we encourage you to apply. 

Primary Location Base Pay Range: Germany - Karlsruhe €71,600 - €119,400. 





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