Senior Data Scientist / Quantitative Analyst - Commodity Global Trade Shipping & Logistics m/f/d

Tschach Solutions GmbH Company; Karlsruhe; On-site; EUR 72,000 - 119,000; Full time

Benefits offered by this job

Fitness studio

Pension & public transport

20 days work from anywhere

4 days extra leave for social &Sustain

Ongoing learning & professional devs

Job summary

ICIS is seeking a Senior Data Scientist / Quantitative Analyst to join our Analytics Hubs in Karlsruhe or London. You will build predictive models for global trade, shipping and logistics, collaborating with a 30+ member data science team to deliver data-driven solutions for chemicals and petrochem markets.

We expect 3–5 years in predictive modelling of commodity markets, strong Python/SQL coding, and experience with Dash, Docker and Airflow.

Qualifications

• 3–5 years of practical experience in predictive modelling for commodity markets or trading.
• Knowledge of mathematical/numerical optimization (linear programming, convex optimization).
• Scenario modelling and cost curves is a plus.
• Ability to work with internal/external customers to solve high-value problems.
• Strong communication and stakeholder engagement skills.
• Production-ready Python and SQL code; familiarity with data science libraries.
• Data modelling, transformation, and visualization (e.g. Python Dash).
• Software development practices: modularisation, Git, tests; Docker and Airflow.
• Habit of starting simple, iterating from feedback to add value.
• Curiosity and desire to understand the world.

Responsibilities

• Create and continuously improve analytical commodity models in Python.
• Co-develop quantitative models for demand, supply, storage, trade, and pricing.
• Apply optimization techniques to logistics and trading problems (routing).
• Clean, impute, and integrate freight, pricing, and supply/demand data from diverse sources.
• Turn raw data into actionable market insights.
• Build interactive analytics and decision-support tools (Dash).
• Prototype rapidly with Spec-Driven-Development.
• Deliver data and models to ICIS Data Lakehouse and shared platforms.
• Discuss models with customers and gather feedback.
• Share views on market structure and drivers for decision support.
• Translate domain knowledge into models; understand operations in markets.
• Manage development from day 1 with goal-driven, self-organized work.
• Collaborate with data engineers to productionize models and integrate data sources.
• Guide others; contribute framework enhancements.
• Share components, knowledge and innovation with peers.

Skills

Predictive modelling

Statistical skills

Communication skills

Customer engagement

Tools

Python

SQL

Dash by Plotly

Docker

Airflow

Git

Databricks

Snowflake

Job description

Senior Data Scientist / Quantitative Analyst - Commodity Global Trade Shipping & Logistics ICIS – Karlsruhe/Germany or London

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, Shanghai, Dubai, SaoPaulo, Seoul, and Tokyo.

Job Purpose

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 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.

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.

Apply mathematical optimization techniques to logistics and trading-related problems (e.g., routing)

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 & visualize 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.

Work with data engineers to productionize models and integrate new data sources into the platform

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

Key Skills/Experience Required

Minimum of 3 to 5 years of practical experience in predictive modelling in the context of (commodity) markets or trading, particularly 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 also assumption-based scenario modelling and 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

Ideally, familiarity with optimization libraries (e.g., Pyomo, SciPy, Gurobi/CPLEX)

Why Join ICIS?

• 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
• Join a Team That Loves What It Does: 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.

Primary Location Base Pay Range

Germany - Karlsruhe €71,600 - €119,400.

We welcome applications from people of all backgrounds, experiences and perspectives.

We are an equal opportunity employer: 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. USA Job Seekers: EEO Know Your Rights. 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.

If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.