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

RELX International; Deutschland; On-site; EUR 90,000 - 130,000; Full time

Job summary

ICIS, part of RELX, is seeking a Lead Data Scientist or Quantitative Analyst for Commodity Intelligence in Karlsruhe/Germany or London. You will develop market-leading predictive models and interactive analytics for market fundamentals, prices, and trade, coordinating a team of data scientists and collaborating with customers to deliver high-quality solutions.

You will work in a global analytics hub, applying techniques from fundamental modelling to machine learning, and shaping data-driven

Qualifications

• Minimum of 5 years of practical experience in predictive modelling in commodity markets or trading.
• Ability to work with internal/external customers to identify and solve high-value problems.
• Production-ready code in Python and SQL with AI-code generation and Spec-Driven-Development.
• Data modelling, transformation, and visualization (eg Python Dash).
• Experience with software development practices, modularisation, versioning (Git), tests, and containerization (Docker) and orchestration (Airflow).
• Habit of starting simple to gain buy-in and iterate on feedback.
• Curiosity and desire to understand the world.

Responsibilities

• Create and continuously improve analytical commodity market models in Python; co-develop with analysts & engineers.
• Guide, project-manage, and retain market modelling talent; align work with stakeholders.
• Connect, clean, and impute datasets from diverse sources to turn data into market insights.
• Create interactive analytics, planning and decision-support tools using data & models (Dash).
• Discuss models with customers and translate domain knowledge back into models.

Skills

Python

SQL

Data modeling

Dash

Docker

Airflow

Communication

Teamwork

Tools

Docker

Airflow

Job description

Lead Data Scientist or Quantitative Analyst - Commodity Intelligence

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 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.

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
• 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-organized with own project management responsibility on developments from day 1
• 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 5 years of practical experience in predictive modelling in the context of (commodity) markets or trading, supply, demand and prices. Knowledge of assumption-based scenario modelling as well as marginal supply cost curves
• Experience to work as a team 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

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