ICIS, part of Risk Solutions Group within RELX, is hiring a Lead Data Scientist or Quantitative Analyst – Commodity Intelligence for its Analytics Hub in Karlsruhe (or London). You will build predictive market models in Python for chemicals and petrochemical commodities, guide other data scientists and deliver interactive analytics tools, with 20 days of work from anywhere.
About ICIS
Business: Data services, thought leadership and decision tools for energy, petrochemical and fertilizer markets
Parent: RELX Group, with over 37,000 employees
Team: More than 700 people at ICIS and 30+ data scientists in the Analytics Hubs
Offices: Including London, New York, Houston, Karlsruhe, Frankfurt, Singapore and Dubai
Benefits & Career Opportunity
Flexibility: 20 days of work from anywhere
Time Off: 4 extra days of leave for social and sustainability engagement
Extras: Fitness studio, pension and public transport support
Growth: Ongoing learning, with a path to people management once proven
Position Overview
As Lead Data Scientist, you create and improve commodity market models in Python, covering demand, supply capacity and cost, storage, trade and transport, market balance and price forecasting, with a focus on chemicals and petrochemical supply networks. You guide and project-manage other data scientists and own delivery of high-quality solutions. You connect, clean and fill gaps in freight, pricing and supply and demand data, build interactive tools such as Dash by Plotly, and deliver data and models into the ICIS Data Lakehouse. You also discuss models with customers and turn what you learn back into better models.
Why This Role Matters: Few data science jobs put you this close to real commodity markets and real customers. You work in small teams with a lot of ownership, on forecasting and AI products, with the stability of a global group and a reported employee net promoter score of 81 in 2025.
Key Responsibilities
Modelling
- Create and improve commodity market models in Python for demand, supply, trade, market balance and price forecasting
- Connect, clean and impute freight, pricing and supply and demand data
Tools & Delivery
- Build interactive analytics and decision tools, for example with Dash by Plotly
- Prototype fast with spec-driven development
- Deliver data and models into the ICIS Data Lakehouse
Leadership & Customers
- Guide, project-manage and develop data scientists
- Discuss models with customers and turn insights back into models
- Share components, knowledge and innovation with peers
Qualifications
Experience
- At least 5 years of predictive modelling for commodity markets, trading, supply, demand and prices
- Knowledge of assumption-based scenario modelling and marginal supply cost curves
Technical Skills
- Production-ready Python and SQL, including AI code generation and spec-driven development
- Data modelling, transformation and visualisation, for example Python Dash
- Software practice: modular code, Git, tests, Docker and Airflow
Personal
- Goal-driven, self-organised teamwork with customers and clear communication
- Start simple, iterate on feedback, and stay curious
- A plus: chemical industry, Databricks and Snowflake knowledge
About ICIS
ICIS is part of Risk Solutions Group, a division of RELX. It gives businesses in energy, petrochemicals and fertilizers data, insight and decision tools to make strategic decisions and manage risk. It has a global team of more than 700 and says it welcomes applicants from all backgrounds, including those who do not meet every requirement.
How to Apply: The posting lists no contact details or application link, so apply through the ICIS or RELX careers page. Salary is not stated.
Who Should Apply?
- Senior Data Scientists: With commodity or trading models
- Quantitative Analysts: In energy or chemicals
- Python Modellers: With Dash, Docker and Airflow
- Market Forecasters: Ready to lead a team
- Karlsruhe Region Talent: Seeking a global employer
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