Senior Data Scientist – Commodity Markets

RELX

Quantitative Analyst at ICIS driving data-based innovation for energy and chemicals markets. Designing and maintaining models and applications for pricing processes across diverse markets.

Posted 6/23/2026full-timeKarlsruhe • 🇩🇪 GermanySenior💰 €59,300 - €98,600 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudPostgresPython

About the role

Key responsibilities & impact

Maintain and enhance applications in Python (Dash) to put the “human in the loop” with Data Science models
Drive and support R&D and operation of data-driven analytical market models: Together with our analysts and market experts, you will co-develop strong quantitative market models to predict key market variables drawing from a wide variety of techniques; guide and support others in the development of models, implement new models as well as model enhancements, such as driving cloud-based model and process automation
Engage with internal market experts to explain our models and insights and to discuss the market structure and key drivers - translating domain knowledge back into our models and building a deep understanding of operations and decision making in our markets
Drive maintenance and improvements of the code base and code structure for operational models and backend data architectures
Develop, test, and roll out new application functionality and change requests following product owner prioritization
Manage operational models & applications (monitoring, refactoring, update of live services)
Review and debug code and ensure good code documentation
Enable efficient communication across teams through fast prototyping and demos of potential solutions
Expand your knowledge, by learning new techniques and applying them to existing and new analytical problems in our markets. Actively share knowledge and innovation areas with your peers

Requirements

What you’ll need

Minimum of 3 to 5 years of practical experience as a software engineer, preferably in the context of markets and market prices
Excellent Python skills and experience with Python packages for applications (such as Dash)
Professional use of version control tools in projects involving several developers
Experience with designing and managing containerized applications and familiarity with cloud platforms (e.g. AWS)
Data handling and data modeling knowledge and experience using relational databases (e.g. PostgreSQL)
Holistic perspective on business value from analytics and a strong ability to explain complex topics to diverse stakeholders at the appropriate level, strong communication and engagement
Preferably previous exposure to Data Analytics or Data Science and an interest in working on analytics and forecasting projects heavily reliant on human / machine collaboration

Benefits

Comp & perks

A highly stable job environment part of a company with 30,000 employees
A vibrant working environment in a dynamic, inclusive, ambitious and committed team which drives Data Science forward and keeps a start-up like atmosphere
Flexibility, loyalty, empowerment, and trust as part of our corporate culture
Benefits, e.g. fitness studio, 20 days work from anywhere and 2 days additional leave for social engagement

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Hard Skills & Tools

PythonDashdata modelingdata handlingversion controlcontainerized applicationsrelational databasesPostgreSQLcloud platformsdata analytics

Soft Skills

communicationengagementcollaborationexplanation of complex topicsknowledge sharingproblem-solvingteamworkadaptabilitycritical thinkingstakeholder management