Senior Data Scientist - Commodity Intelligence m/f/d

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

Job summary

ICIS in Karlsruhe or London is seeking a Senior Data Scientist / Quantitative Analyst to join our Analytics Hubs. You will build market-leading predictive models and interactive analytics for prices, supply, demand and trade in global commodity markets.

You will work with a team of 30+ data scientists, contribute to models using Python, SQL, Dash, and modern data platforms, and present insights to customers to support strategic decisions.

Qualifications

• 3–5 years of practical experience in predictive modelling for commodity markets.
• Proven ability to work directly with customers to identify and solve high-value problems.
• Production-ready Python and SQL code, using AI-code generation and Spec-Driven-Development.
• Data modelling, transformation, and visualization (e.g., Python Dash).
• Experience with software development practices: modularisation, Git, tests; containerization with Docker and orchestration with Airflow.
• Bias toward starting simple and iterating based on feedback.
• Curiosity and desire to understand the world.
• Nice to have knowledge of the chemical industry, Databricks & Snowflake.

Responsibilities

• Create and continuously improve analytical commodity market models in Python.
• Connect, clean, and impute datasets from diverse sources to turn data into actionable market insight.
• Create interactive analytics and decision-support tools (e.g., Dash) and deploy to ICIS Data Lakehouse.
• Discuss models with customers and translate domain knowledge back into models.
• Work with ownership on developments from day 1 and manage your projects.
• Mentor others and share components and insights with peers.

Skills

Python

SQL

Data modelling

Dash by Plotly

Predictive modelling

Communication

Git

Docker

Airflow

Databricks

Snowflake

Tools

Python

SQL

Dash

Git

Docker

Airflow

Databricks

Snowflake

Job description

Senior Data Scientist / 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, serving customers in 180+ countries. 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.

In your role, you will primarily 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. 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
• 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 3 to 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 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

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