Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 59.300 to 98.600€ gross/year
- Location
- Karlsruhe
- Working Model
- Onsite
Job Summary
In this role, you will develop data-driven and AI-powered solutions for global markets by working closely with customers to understand their business challenges and realize innovative approaches.
Job Technologies
Your role in the team
- 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 work directly with customers, domain experts, product managers, and engineers to uncover high-value opportunities, develop innovative solutions, and turn successful customer outcomes into scalable solutions.
- This is a key role that will shape the evolution of the organisation.
- You will apply data science, analytics and AI techniques to create practical, user-focused solutions that solve real-world challenges and help ICIS customers to optimize global resources.
- You will primarily focus on Chemicals, but experience in Energy, commodities or related industrial sectors is also highly relevant.
- 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 to improve value, usability and adoption.
- Apply data science, machine learning and AI techniques, including modern generative AI and agentic approaches where appropriate, to solve customer problems.
- 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 in data, semantics and platform capabilities to help shape future ICIS product, data and AI investments.
- Zusammenarbeit mit Produktmanagern, Fachexperten, Ingenieuren und kommerziellen Stakeholdern in einem funktionsübergreifenden Customer Deployed Team.
- Share learnings across teams to accelerate innovation and improve future customer engagements.
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Our expectations of you
Qualifications
- Proven track record of developing and delivering analytical, machine learning or AI solutions from concept through deployment.
- Strong problem-solving skills and ability to work effectively in ambiguous and rapidly evolving environments.
- Gutes Verständnis von Data Modelling, Datenqualität und der Arbeit mit strukturierten und unstrukturierten Daten.
- Professional use of version control and collaborative software-development practices.
- Excellent communication and stakeholder management skills with the ability to translate business challenges into practical analytical solutions.
Experience
- 3-5 years of experience in Data Science, Applied AI, Analytics or a related field.
- 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.
- Experience designing experiments and measuring business impact of data science solutions.
- Experience with cloud platforms, APIs and containerised applications.
- Experience working directly with business stakeholders or customers to identify and solve high-value business problems.
- Experience in Chemicals, Energy, commodity markets or related industrial sectors is desirable but not required.
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What we offer
- 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 great benefits: e.g., fitness studio, 20 days of remote work flexibility, and 2 additional days off for social engagement, ongoing learning, and professional development opportunities.
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Benefits
Work-Life-Integration
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
Lexisnexis
Wien
LexisNexis is one of the world's leading providers of business and legal information for professionals in the fields of law, risk management, government, accounting and universities. LexisNexis is a Reed Elsevier Group company and has 15,000 employees serving customers in more than 100 countries
Description
- Company Size
- 250+ Employees
- Founding Year
- 1946
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Media, Publishing, Law, Finance, Economics
Senior Data Scientist & AI Solutions
- Salary
- 59.300 to 98.600€ gross/yearEstimated net salary based on the gross salary in the job ad using tax class I.37.203 to 57.376 € net/year · Tax class I
- Location
- Karlsruhe
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
