Senior Data Scientist, Commodity Intelligence

RELX INC; Greater London; On-site; GBP 60,000 - 100,000; Full time

Job summary

ICIS is seeking a Senior Data Scientist/Quantitative Analyst to join our Analytics Hubs in Karlsruhe or London. You will develop market-leading predictive models and interactive analytics for prices, supply, demand and trade in chemicals and petrochemicals.

You will work with Python, SQL, and Dash to deliver modelling solutions, collaborate with customers, and contribute to ICIS Data Lakehouse deployments. Karlsruhe or London base, with global impact.

Qualifications

• 3–5 years of predictive modelling in commodity markets or trading.
• Strong communication and ability to explain complex concepts to stakeholders.
• Production-ready code in Python and SQL; familiar with DS libraries.
• Data modelling, transformation, and visualization (e.g. Python Dash).
• Experience with modularisation, versioning (Git), tests, and container orchestration.

Responsibilities

• Create and improve analytical commodity market models in Python (e.g., demand/supply/price forecasting).
• Connect, clean, and impute freight, pricing, and supply/demand data from internal and external sources.
• Build interactive analytics and decision-support tools (e.g., Dash) and deploy to data platforms.
• Discuss models with customers and translate domain knowledge back into model implementations.
• Lead developments with self-management and share components/knowledge with peers.

Skills

Predictive modelling

Python

SQL

Dash

Data modelling

Communication

Docker

Airflow

GIT

Modularisation

Tools

Databricks

Snowflake

Dash (Plotly)

Docker

Airflow

Job description

ICIS is seeking a Senior Data Scientist/Quantitative Analyst to join our Analytics Hubs in Karlsruhe or London. You will develop market-leading predictive models and interactive analytics for prices, supply, demand and trade in chemicals and petrochemicals.

You will work with Python, SQL, and Dash to deliver modelling solutions, collaborate with customers, and contribute to ICIS Data Lakehouse deployments. Karlsruhe or London base, with global impact.