Lead Data Scientist / Quantitative Analyst - Commodity Intelligence m/f/d

RELX Group; City of Westminster; Presencial; GBP 90.000 - 140.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Pension plan

Public transport

Work-from-anywhere (20 days)

Extra leave for social & sustainable L

Learning & development

Descripción de la vacante

ICIS, part of RELX Group, is seeking a Lead Data Scientist in London to drive predictive modeling for commodity markets. You will lead a team of data scientists, collaborate with engineers and customers, and deliver production-ready analytics and AI-powered solutions across pricing, supply, demand and trade dynamics.

The role focuses on creating market-leading models, interactive analytics tools (Dash) and data lakehouse integration, while shaping next-generation AI capabilities for the business

Formación

• Experience building predictive models for commodity markets or trading contexts.
• Ability to translate complex data science concepts to non-technical stakeholders.
• Proven track record of producing production-ready Python/SQL code.

Responsabilidades

• Create and continuously improve analytical commodity market models in Python.
• Guide, project-manage and retain market modelling talent.
• Connect and impute external data into market insights.
• Build interactive analytics and decision-support tools (e.g., Dash).
• Discuss models with customers and translate domain knowledge into models.

Conocimientos

Python

SQL

Data modelling

Data visualization

Stakeholder management

Team leadership

Dash/Plotly

Docker

Airflow

Git

Databricks

Snowflake

Herramientas

Dash/Plotly

Docker

Airflow

Git

Databricks

Snowflake

Descripción del empleo

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 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. 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 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. Key Accountabilities/Responsibilities:

• 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
• Guide, project-manage, develop & retain our market modelling talent. Align work and business outcomes with stakeholders. Perspective to take on people management responsibility once proven
• 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 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 as a team 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 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 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, 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.