Senior Data Scientist – Commodity Markets & Logistics

RELX International; United States; Remote; USD 80,000 - 133,000; Full time

Benefits offered by this job

Public transport benefits

Pension

Flexible work locations

Extra leave for social & sustainable •

Learning & development opportunities

Job summary

ICIS, part of RELX, seeks a Senior Data Scientist / Quantitative Analyst to join our Analytics Hubs in Karlsruhe or London. You will build market‑leading predictive models for global trade, shipping and logistics, and deliver interactive analytics for trading and scenario planning.

You’ll collaborate with customers and engineers to productionise models and expand data sources. You’ll work in a multidisciplinary team, using Python, SQL, and Dash to create actionable insights that drive decisions

Qualifications

• 3–5 years of practical experience in predictive modelling for commodity markets or trading.
• Knowledge of mathematical/numerical optimisation (e.g., linear programming, convex optimisation).
• Production‑ready Python and SQL, with AI‑code generation and Spec‑Driven‑Development practices.
• Data modelling, transformation, and visualization (Dash).
• Software development practices: modularisation, versioning with Git, tests, maintainable code.
• Experience with Docker and Airflow.
• Ideally familiarity with Databricks/Snowflake and Pyomo/SciPy; knowledge of chemical industry is a plus.

Responsibilities

• Create and continuously improve analytical commodity market models in Python.
• Co‑develop with analysts & engineers robust market models (demand, supply, storage, transport).
• Apply optimisation techniques to logistics and trading problems (routing, capacity, costs).
• Integrate diverse data sources and clean/impute freight, pricing, and supply data.
• Build interactive analytics and decision‑support tools (Dash) and prototype fast.
• Collaborate with customers to refine models and translate domain knowledge into code.
• Work with data engineers to productionise models and expand data sources.

Skills

Predictive modelling

Optimization

Python

SQL

Data visualization

Dash

Pyomo

Gurobi/CPLEX

Airflow

Docker

Git

Tools

Databricks

Snowflake

Kubernetes

Job description

ICIS, part of RELX, seeks a Senior Data Scientist / Quantitative Analyst to join our Analytics Hubs in Karlsruhe or London. You will build market‑leading predictive models for global trade, shipping and logistics, and deliver interactive analytics for trading and scenario planning.

You’ll collaborate with customers and engineers to productionise models and expand data sources. You’ll work in a multidisciplinary team, using Python, SQL, and Dash to create actionable insights that drive decisions