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About the Role

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. 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.

Responsibilities

Create and continuously improve analytical commodity market models in Python, co-developing quantitative market models for demand, supply, storage, trade, transport, market balance, and price forecasting.
Guide, project-manage, develop, and retain market modelling talent, aligning work and business outcomes with stakeholders.
Connect, clean, and impute freight, pricing, and supply/demand datasets from diverse sources to generate actionable market insights.
Create interactive analytics, planning, and decision support tools utilizing data and models (e.g., Dash by Plotly), delivering data and models into ICIS Data Lakehouse and shared platforms.
Discuss models with customers, share market structure views, key drivers, and decision support, translating domain knowledge back into models.
Work goal-driven and self-organized with project management responsibility from day one.
Guide and support others in model development, create hands-on implementations of framework enhancements, and share components, knowledge, and innovation with peers.

Requirements

Minimum of 5 years of practical experience in predictive modelling within commodity markets or trading, supply, demand, and prices.
Knowledge of assumption-based scenario modelling and marginal supply cost curves.
Experience working in goal-driven teams directly with internal/external customers to identify and solve high-value business problems, with strong self-organization skills.
Strong communication and engagement abilities, with the capacity to explain complex concepts simply to stakeholders.
Production-ready code in Python and SQL, utilizing AI code generation and Spec-Driven-Development.
Familiarity with common Data Science & analytics libraries.
Experience with data modelling, transformation, and visualization (e.g., Python Dash).
Experience with software development practices including modularization, versioning (GIT), testing, and writing understandable code.
Experience with containerization (Docker) and orchestration (Airflow).
A habit of starting simple to gain early buy-in and iterating based on feedback.
Curiosity and a desire to understand the world.

Skills

Python
SQL
AI code generation
Spec-Driven-Development
Data Science libraries
Analytics libraries
Data modelling
Data transformation
Data visualization
Dash by Plotly
Software development
Modularisation
Versioning (GIT)
Testing
Docker
Airflow
Chemical industry knowledge (plus)
Databricks (plus)
Snowflake (plus)

Location

Karlsruhe, Germany
London

Work Type

Full-time
20 days work from anywhere

Experience Level

Lead

Salary/Compensations

€71,600 - €119,400

Benefits

Support for fitness studio
Pension
Public transport support
4 days extra leave for social & sustainability engagement
Ongoing learning and professional development opportunities
Country specific benefits

About the Company

ICIS is part of Risk Solutions Group (RSG), a division of RELX Group, a FTSE 250 company with revenues of $12.6 billion in 2025 and an employee base of over 37,000 people.
ICIS provides data services, thought leadership, and decision tools to make global commodity markets more trusted and predictable.
We serve the energy, petrochemical, and fertilizer industries, helping businesses make strategic decisions, mitigate risk, improve productivity, and capitalize on opportunities.
Thousands of decisions are made daily across supply chains using our intelligence.
We have a global presence with employees in numerous international cities.
Our global team consists of more than 700 employees.
Our Data Science team combines the energy of a start-up with the support and stability of a global organization.
In 2025, our Data Science team achieved an Employee Net Promoter Score (eNPS) of 81.

Equal Opportunity

ICIS is committed to building an inclusive workplace where everyone can thrive.
We welcome applications from people of all backgrounds, experiences, and perspectives.
We believe diverse teams create better products, make better decisions, and drive greater innovation.
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.