Senior Data Scientist - Commodity Intelligence m/f/d

RELX Group; City of Westminster; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Fitness stipend

Pension plan

Public transport benefit

Work from anywhere (20 days)

Extra leave for CSR

Job summary

ICIS, part of RELX Group, is hiring a Senior Data Scientist to join our analytics hubs in London or Karlsruhe. You will develop predictive models for prices, supply, demand and trade, building interactive analytics and data tools for customers in global commodity markets.

You will work with a team of 30+ data scientists, engineers and economists to deliver production-ready code, data transformations and decision support capabilities, with strong collaboration and direct customer engagement.

Qualifications

• 3–5 years of practical experience in predictive modelling for commodity markets or trading.
• Knowledge of assumption-based scenario modelling and marginal supply cost curves.
• Production-ready Python and SQL code, AI-code generation, Spec-Driven-Development.
• Experience with Docker and Airflow for modular, scalable pipelines.

Responsibilities

• Create and continuously improve analytical commodity market models in Python with analysts and engineers.
• Connect, clean, and impute datasets from diverse sources to produce actionable market insights.
• Build interactive analytics and decision-support tools (e.g., Dash) and deploy to data platforms.
• Discuss models with customers and translate domain knowledge into models for decision support.
• Work with customers to identify high-value problems and deliver tangible impact from day 1.
• Share components and knowledge with peers to drive innovation across teams.
• Help shape next-generation AI products for commodity markets.
• Collaborate with a multidisciplinary team to deliver customer impact.

Skills

Python

SQL

Statistical modelling

Machine learning

Data analysis

Communication

Customer interaction

Tools

Dash by Plotly

Pandas

NumPy

Airflow

Docker

Job description

Are you passionate about applying data science, AI and analytics to solve complex business problems and create products that customers love? At ICIS, we're building the next generation of data-driven and AI-powered solutions for global commodity markets. As a Senior 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. 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 prices, supply, demand & trade for Chemicals, the global supply network for petrochemical commodities, recycling materials and their end-use applications. Your work will directly help thousands of users to quantify impacts to their markets.

• Create and continuously improve analytical commodity market models in Python: Co-develop with our analysts & engineers strong quantitative market models, such as demand modelling, supply modelling for capacity & cost, storage, trade & transport modelling, market balance & market price forecasting
• Connect, clean, and impute freight, pricing, and supply/demand datasets from diverse internal and external sources. Turn raw, imperfect and incomplete data into actionable market insight
• Create interactive analytics, planning and decision support tools that utilize data & models (eg Dash by Plotly). Innovate fast prototypes with Spec-Driven-Development. Deliver data and models into ICIS Data Lakehouse and shared platforms.
• Discuss models with customers. Share our view on the market structure, key drivers & decision support. Translate gained domain knowledge back into models and build a deep understanding of operation and decision making in our markets
• Work goal-driven and self-organized with own project management responsibility on developments from day 1
• Guide and support others in the development of models as well as create hands-on own implementations of framework enhancements. Actively share components, knowledge & innovation with peers, Work on Problems That Matter: global organizations make better decisions using data, analytics and AI
• Build the Future of AI in commodity markets: Play a key role in shaping next-generation AI products and capabilities that will influence the future of our business and our industry
• Work with Exceptional People: Join a multidisciplinary team of data scientists, engineers, economists, industry experts and product leaders who are passionate about innovation and customer impact
• Enjoy Corporate Benefits: e.g. support for fitness studio, pension & public transport, 20 days work from anywhere and 4 days extra leave for social & sustainability engagement and ongoing learning and professional development opportunities. Minimum of 3 to 5 years of practical experience in predictive modelling in the context of (commodity) markets or trading, supply, demand and prices. Knowledge of assumption-based scenario modelling as well as marginal supply cost curves
• Experience to work goal driven directly with internal/external customers to identify & solve high-value business problems, self-organised. Strong communication and engagement, ability to explain complex concepts simply to stakeholders
• Production-ready code in Python and SQL, using AI-code generation and Spec-Driven-Development in a productive & manageable way, familiar with common Data Science & analytics libraries
• Data modelling, transformation, and visualization (eg Python Dash)
• Experience with software development (modularisation, versioning eg with GIT, tests, understandable code), with containerization (Docker) and orchestration (Airflow)
• Habit of starting simple first to get buy-in early and iterate on feedback to add value
• Curiosity & desire to understand the world
• A plus: existing knowledge of the chemical industry, Databricks & Snowflake. ICIS - Karlsruhe/Germany or London

About ICIS

About ICIS 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, serving customers in 180+ countries. ICIS makes some of the world's most important markets more trusted and predictable by providing data services, thought leadership and decision tools. We exist to help businesses in the energy, petrochemical and fertilizer industries make strategic decisions, mitigate risk, improve productivity, and capitalise on new opportunities. Thousands of decisions are taken across supply chains every day using our intelligence and we make this possible through a global presence that delivers the targeted, local insights customers need to achieve growth in this new world of meaningful data. Shaping the world by connecting markets to optimise the worlds valuable resources. With a global team of more than 700, ICIS has employees based in London, New York, Houston, Karlsruhe, Frankfurt, Milan, Mumbai, Singapore, Guangzhou, Beijing, Shanghai, Dubai, Sao Paulo, Seoul, and Tokyo., Our Data Science team combines the energy of a start-up with the support and stability of a global organization of more than 37,000 employees. In 2025, our Data Science team achieved an Employee Net Promoter Score (eNPS) of 81, reflecting a highly engaged and supportive culture., RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.