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About the Role

As a Senior Data Scientist, you will join 30+ experienced Data Scientists in our Analytics Hubs in Karlsruhe or London. Our Data Science group creates 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 Chemicals, the global supply network for petrochemical commodities, recycling materials and their end-use applications. As part of our foundational market data, you will specialize in global trade prices & volumes, shipping & logistics and their impact on global supply & demand. Your work will directly help thousands of users to quantify impacts to their markets.

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.
Apply mathematical optimization techniques to logistics and trading-related problems.
Connect, clean, and impute freight, pricing, and supply/demand datasets from diverse sources.
Create interactive analytics, planning, and decision support tools utilizing data and models.
Innovate fast prototypes with Spec-Driven-Development.
Deliver data and models into ICIS Data Lakehouse and shared platforms.
Discuss models with customers, sharing market structure views, key drivers, and decision support.
Translate gained domain knowledge back into models and build a deep understanding of market operations and decision-making.
Work goal-driven and self-organized with project management responsibility.
Work with data engineers to productionize models and integrate new data sources.
Guide and support others in model development and create hands-on implementations of framework enhancements.
Actively share components, knowledge, and innovation with peers.

Requirements

Minimum of 3 to 5 years of practical experience in predictive modelling within commodity markets or trading, focusing on global trade flows, storage, supply chain logistics, and their impact on supply, demand, and prices.
Knowledge of Mathematical/numerical optimization (e.g., linear programming, convex optimization).
Ideally, experience with assumption-based scenario modelling and cost curves.
Experience working goal-driven 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.
Experience using AI-code generation and Spec-Driven-Development in a productive and manageable way.
Familiarity with common Data Science & analytics libraries.
Proficiency in data modelling, transformation, and visualization (e.g., Python Dash).
Experience with software development practices (modularization, versioning with GIT, tests, understandable code).
Experience with containerization (Docker) and orchestration (Airflow).
Habit of starting simple to gain early buy-in and iterating based on feedback.
Curiosity and a desire to understand the world.
Existing knowledge of the chemical industry is a plus.
Familiarity with Databricks & Snowflake is a plus.
Ideally, familiarity with optimization libraries (e.g., Pyomo, SciPy, Gurobi/CPLEX).

Skills

Data Science
AI
Analytics
Predictive Modelling
Commodity Markets
Trading
Global Trade Flows
Storage
Supply Chain Logistics
Python
SQL
Mathematical Optimization
Linear Programming
Convex Optimization
Scenario Modelling
Cost Curves
Data Modelling
Data Transformation
Data Visualization
Dash by Plotly
Software Development
Modularisation
Versioning (GIT)
Testing
Containerization (Docker)
Orchestration (Airflow)
AI-code generation
Spec-Driven-Development
Databricks
Snowflake
Pyomo
SciPy
Gurobi/CPLEX

Location

Karlsruhe, Germany
London

Work Type

Full-time

Experience Level

Senior
3-5 years

Salary/Compensations

€71,600 - €119,400

Benefits

Support for fitness studio
Pension
Public transport support
20 days work from anywhere
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 20 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 help businesses in the energy, petrochemical, and fertilizer industries make strategic decisions, mitigate risk, improve productivity, and capitalize on new opportunities.
Thousands of decisions are made daily using our intelligence, enabled by a global presence delivering targeted, local insights.
We shape the world by connecting markets to optimize valuable resources.
ICIS has a global team of over 700 employees based in multiple international locations.
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.