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About the Role
As a Senior Data Scientist at ICIS, you will apply data science, analytics, and AI techniques to create practical, user-focused solutions for global commodity markets, primarily focusing on Chemicals. This role is crucial in shaping the organization's evolution by developing innovative, data-driven solutions that help customers optimize global resources.
Responsibilities
- Work closely with customers to understand their goals, workflows, decision processes, and key business challenges.
- Identify high-impact opportunities where data science, analytics, and AI can create measurable value.
- Rapidly prototype, systematically test, and iterate solutions with customers, incorporating user feedback.
- Apply data science, machine learning, and AI techniques, including generative AI and agentic approaches.
- Combine ICIS data, domain expertise, and customer context to develop differentiated analytical solutions.
- Communicate insights, recommendations, and technical concepts clearly to both technical and non-technical audiences.
- Contribute to best practices in experimentation, model development, evaluation, documentation, and maintainability.
- Surface customer needs and gaps to help shape future ICIS product, data, and AI investments.
- Collaborate with product managers, subject matter experts, engineers, and commercial stakeholders in a cross-functional Customer Deployed Team.
- Share learnings across teams to accelerate innovation and improve future customer engagements.
Requirements
- 3-5 years of experience in Data Science, Applied AI, Analytics, or a related field.
- Proven track record of developing and delivering analytical, machine learning, or AI solutions from concept through deployment.
- Experience evaluating and applying modern AI approaches, including large language models, retrieval-based systems, and agentic workflows.
- Strong Python skills and experience with common data science and analytics libraries.
- Strong problem-solving skills and ability to work effectively in ambiguous and rapidly evolving environments.
- Experience designing experiments and measuring business impact of data science solutions.
- Good understanding of data modelling, data quality, and working with structured and unstructured data.
- Experience with cloud platforms, APIs, and containerised applications.
- Professional use of version control and collaborative software-development practices.
- Experience working directly with business stakeholders or customers to identify and solve high-value business problems.
- Excellent communication and stakeholder management skills with the ability to translate business challenges into practical analytical solutions.
- Experience in Chemicals, Energy, commodity markets, or related industrial sectors is desirable but not required.
Skills
- Data Science
- Applied AI
- Analytics
- Machine Learning
- Generative AI
- Agentic AI
- Python
- Data Modelling
- Cloud Platforms
- APIs
- Containerised Applications
- Version Control
- Communication
- Stakeholder Management
Location
- Karlsruhe
Work Type
- Full-time
Experience Level
- Senior
Salary/Compensations
- €59,300 - €98,600
Benefits
- Fitness studio
- 20 days work from anywhere
- 2 days additional leave for social engagement and ongoing learning and professional development opportunities
- Country specific benefits
About the Company
- ICIS is part of Lexis Nexis Risk, a FTSE 250 company with revenues of $12.9 billion in 2025 and an employee base of over 30,000 people across 40 countries.
- ICIS provides data services, thought leadership, and decision tools to make global commodity markets more trusted and predictable.
- We help businesses in the energy, petrochemical, and fertilizer industries make strategic decisions, mitigate risk, improve productivity, and capitalize on new opportunities.
- Thousands of decisions are taken across supply chains daily using our intelligence.
- We have a global presence with employees based in numerous international cities.
- Our mission is to shape the world by connecting markets to optimize the world’s 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, Tokyo and Perth.
- Our Data Science team combines the energy of a start-up with the support and stability of a global organization.
- In 2024, our Data Science team achieved an Employee Net Promoter Score (eNPS) of 81.
Equal Opportunity
- ICIS is committed to building an inclusive workplace where everyone can thrive.
- We welcome applications from people of all backgrounds, experiences, and perspectives.
- We believe diverse teams create better products, make better decisions, and drive greater innovation.
- 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.