Senior Data Scientist / Quantitative Analyst - Commodity Global Trade Shipping & Logistics m/f/d

RELX International; Deutschland; On-site; EUR 90,000 - 120,000; Full time

Job summary

ICIS in Karlsruhe or London is seeking a Senior Data Scientist / Quantitative Analyst to join our Analytics Hub. You will build forecast models, predictive analytics, and interactive tools for trading and scenario planning, applying a range of techniques from fundamental modeling to machine learning.

Collaborate with data engineers to productionize models, discuss market drivers with customers, and own projects from day one.

Qualifications

• 3–5 years of practical experience in predictive modelling for commodity markets or trading.
• Strong communication and engagement, able to explain complex concepts to stakeholders.
• Production-ready Python and SQL coding, familiar with common data science libraries.
• Data modelling, transformation, and visualization (e.g., Dash).
• Experience with software development practices (modularisation, versioning) is a plus.

Responsibilities

• Create and improve analytical commodity market models in Python for demand, supply, storage, and transport.
• Connect, clean, and impute datasets from diverse sources to derive actionable market insights.
• Build interactive analytics and decision-support tools (e.g., Dash) and prototype fast with Spec-Driven-Development.
• Discuss models with customers and translate domain knowledge into model improvements.
• Collaborate with data engineers to productionize models and integrate new data sources.

Skills

Predictive modelling

Communication

Self-organization

Stakeholder engagement

Problem solving

Tools

Python

SQL

Dash

Job description

Senior Data Scientist / Quantitative Analyst - Commodity Global Trade Shipping & Logistics

ICIS - Karlsruhe/Germany or London

About ICIS

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.

Job Purpose

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 Senior 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.

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