Lead Data Scientist​/Quantitative Analyst - Commodity Intelligence m​/f​/d

Lead Data Scientist or Quantitative Analyst
- Commodity Intelligence

ICIS – Karlsruhe/Germany or London

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 an employee base of over 37,000 people. ICIS makes some of the world’s most important markets more trusted and predictable by providing data services, thought leadership and decision tools. We exist to help businesses in the energy, petrochemical and fertilizer industries make strategic decisions, mitigate risk, improve productivity, and capitalise on new opportunities.

Thousands of decisions are taken across supply chains every day using our intelligence and we make this possible through a global presence that delivers the targeted, local insights customers need to achieve growth in this new world of meaningful data. Shaping the world by connecting markets to optimise the worlds valuable resources. With a global team of more than 700, ICIS has employees based in London, New York, Houston, Karlsruhe, Frankfurt, Milan, Mumbai, Singapore, Guangzhou, Beijing, Shanghai, Dubai, Sao Paulo, Seoul, and Tokyo.

Are you passionate about applying data science, AI and analytics to solve complex business problems and create products that customers love?

At ICIS, we’re building the next generation of data-driven and AI-powered solutions for global commodity markets. As a Lead Data Scientist, you will join 30+ experienced Data Scientists in our Analytics Hubs in Karlsruhe or London. Our Data Science group create forecast models, predictive data and interactive analytical tooling for trading and scenario planning. We model commodity markets with a wide range of techniques from fundamental market modelling, statistical to machine learning & AI, mathematical optimisation / linear programming, system dynamics and agent-based models.

We work in small teams with a high degree of ownership and direct collaboration with customers.

In your role, you will primarily focus on creating market-leading predictive models and interactive analytics for market fundamentals, prices, supply, demand & trade in the context of Chemicals, the global supply network for petrochemical commodities, recycling materials and their end‑use applications. You will coordinate, guide and project‑manage other Data Scientists, and take full ownership for delivering high‑quality Data Science solutions.

• 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
• Guide, project‑manage, develop & retain our market modelling talent. Align work and business outcomes with stakeholders. Perspective to take on people management responsibility once proven
• 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 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‑organised with own project management responsibility on developments from day 1
• Guide and support others in the…