Senior Data Scientist - Commodity Analytics (Fixed-term Contract/Project Based) – ICIS – Karlsruhe/Germany or London

Also referred to as: Decision Scientist | Analytics Consultant | Automation Expert

About ICIS

ICIS is part of Risk Solutions Group (RSG) a division of RELX Group, a FTSE 20 company with revenues of $13 billion in 2025 and an employee base of over 30,000 people across 40 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 world’s 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, Tokyo and Perth.

About the project assignment

ICIS invests into transforming chemical intelligence. The focus of this project is to further build out ICIS data foundation which unlocks deeper analytics and customer workflow innovation. You will contribute to the enhancement and automation of foundational data sets. This will involve primarily to create automated models that produce granular, dynamic global demand forecast data to help the industry plan operations and strategic investments, as well as highly responsive supply and cost predictions.

This role is project based and initially for one year.

Job Purpose:

As Senior Data Scientist at ICIS, you will drive data-based innovation by developing analytical models that quantify impacts to some of the largest industries in the world - energy and chemicals with global supply networks. The foundational data output from your work, such as granular global demand and supply data, will accelerate AI and customer workflow innovation. You will join our existing team of experienced Data Scientists and work closely alongside ICIS market experts around the globe. Our models enable the analysis of prices and market fundamentals to support decision making in trading and operations. You will be part of an international team, which requires occasional travel globally. As of day one, you will take responsibility in demanding analytics innovation projects - your primary focus will be to design a model augmented process which can determine current fair representative market price levels across a wide range of markets.

Key Accountabilities/Responsibilities:

• Drive and support R&D and operation of data-driven analytical market models for foundational data sets: 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 our customer development partners and internal market experts to explain our models and insights and to discuss the market structure and key drivers - translating gained domain knowledge back into our models and building a deep understanding of operations and decision making in our markets
• Take own project management responsibility on model developments and work with cross-functional stakeholders
• 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

Key Skills/Experience Required:

• Minimum of 5 years of practical experience in predictive modelling, preferably in the context of markets and market prices – a good holistic overview of available modelling techniques and existing experience in at least one of the following fields: assumption-based scenario forecasting & simulation, agent-based modelling, statistics & econometrics, mathematical optimization, time series prediction with machine learning
• Experience organising projects and teams in a self-driven way and aligning teams, tasks and expectations; habit of starting simple – using proof of concepts to test hypotheses and iterating to add value; track record advancing development projects into production
• 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
• Advanced programming skills (we use Python) and SQL, native with AI, and able to create and review efficient code and data queries
• Basics of software development (modularisation, versioning e.g. with git, unit testing, best practice coding standards, DevOps & MLOps)

We offer:

• 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 (Employee NPS > 80)

• Flexibility, loyalty, empowerment, and trust as part of our corporate culture

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. At ICIS, we are committed to Diversity and Inclusion, we have a leadership team who are 50% women and more than a third of our technology team are female. 

Related fields: Analytics, AI, Automation, Simulation, Operations Research, Artificial Intelligence, Machine Learning, Time Series Analysis, Optimisation, GenAI, Statistics, Econometrics, Behaviour based modelling, Agent based modelling, Economics, System Dynamics.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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