Posted 3 Days Ago Full time Germany - Karlsruhe +1 more location
Position: (Junior) Data Scientist – GenAI
Company: ICIS
Location: Karlsruhe (Germany) or London (UK) - hybrid
About ICIS
ICIS is part of Risk Solutions Group (RSG) a division of RELX Group, a FTSE 20 company with revenues of $11 billion in 2023 and an employee base of over 30,000 people across 40 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, Tokyo and Perth.
Job Description:
We’re looking for a Junior or Senior Data Scientist GenAI to join our Data Science team of 20+ in our analytics centre in Karlsruhe or our headquarter in London. This role is a unique opportunity to explore and shape the GenAI model landscape in a large data business with 20,000+ B2B users and rich proprietary content & data on global markets and forecasts which no other model has access to. Our vision is that through natural language, human decision makers can search, understand, visualize and summarise current global market trends as well as interrogate global data, connect with our numerical predictive models on future trends and forecasts, and derive personalised decision recommendations through Agentic AI. You will be working in a small cross-functional in-house team with technologists, UX researchers, product and data scientists that focuses on experimenting on and continuously optimizing the GenAI layer in our array of Data Science models behind already customer-facing GenAI & analytics products. You will be expected to continually learn and apply new skills.

Key Accountabilities / Responsibilities:

• Design, develop, deploy, continuously evaluate and optimize model architectures to achieve our GenAI and Agentic AI vision in close collaboration with cross functional team members and external development partners. Recommended & explore model design choices and options to optimise for result quality, domain knowledge context, speed, understandability, cost, stability etc.
• Work with our wider Data Science team to connect our language models with other predictive & prescriptive data and models into a coherent and customisable customer experience.
• Creatively identify, share and experiment on new model opportunities for internal/external business use cases. Analyse model usage and feed back into development process.
• Contribute to our 20+ Data Scientist community & culture through team spirit, engagement, and sharing learnings & best practices.

Key Skills / Experience Required:

• Strong background & excitement in GenAI technologies such as Deep Learning and NLP
• Understanding of the core concepts behind LLMs
• Engagement with open-source models, including experience with platforms like Hugging Face and Kaggle.
• Solid experience with the standard python machine learning & NLP techniques and popular libraries (eg Pytorch, Tensorflow, nltk, genism, spacy)
• Ideally, experience in knowledge/context embedding techniques and Agentic workflows
• Knowledge of basic software development principles (modularisation, versioning eg with GIT, tests, understandable code)
• Degree in a scientific field relevant to Data Science
• Strong communication and collaboration skills (in English)

Preferred Qualifications:

• Personal interest to learn about commodity markets and trading
• Desire to lead experiment projects

We offer:

• A vibrant working environment in a dynamic, inclusive, ambitious, and committed team
• Our company is all about data & analytics and growing fast
• Connections with 200+ Data Scientists across RELX group
• Options to join on junior or senior level, a Data Science career track and development support
• Flexibility, loyalty, empowerment, and trust as part of our corporate culture

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. At ICIS, we are committed to Diversity and Inclusion, we have a leadership team who are 50% women and more than a third of our technology team are female.
LexisNexis® Risk Solutions Group (RSG), a portfolio of brands that span multiple industries providing customers with innovative technologies, information-based analytics and decision tools and data services that provide market-specific solutions. Approximately 8,700 employees in offices throughout the world support RSG brands by serving customers in more than 180 countries. RSG is part of RELX, a global provider of information and analytics for professional and business customers across industries. For more information, please visit www.risk.lexisnexis.com/group and www.relx.com.
Related fields: Analytics, Simulation, Operations Research, Artificial Intelligence, Machine Learning, Time Series Analysis, Optimisation, Statistics, Econometrics, Behaviour based modelling, Agent based modelling, Economics, System Dynamic

• Design, develop, deploy, continuously evaluate and optimize model architectures to achieve our GenAI and Agentic AI vision in close collaboration with cross functional team members and external development partners. Recommended & explore model design choices and options to optimise for result quality, domain knowledge context, speed, understandability, cost, stability etc.
• Work with our wider Data Science team to connect our language models with other predictive & prescriptive data and models into a coherent and customisable customer experience.
• Creatively identify, share and experiment on new model opportunities for internal/external business use cases. Analyse model usage and feed back into development process.
• Contribute to our 20+ Data Scientist community & culture through team spirit, engagement, and sharing learnings & best practices