Senior Data Scientist – GenAI (m/f/d)

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Full time
Location: London
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Job offered by: RELX
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Category: IT & Technology
Position: Senior Data Scientist / Senior AI Scientist – Knowledge Graphs & 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 capitalize 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. About the Role We’re looking for a Senior Data Scientist Knowledge Graphs & GenAI to join our Data Science team of 20+ in our analytics centre in Karlsruhe or our headquarters 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 summarize current global market trends as well as interrogate global data, connect with our numerical predictive models on future trends and forecasts, and derive personalized 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. Key Accountabilities / Responsibilities: Be the leading Data Scientist on knowledge graphs / knowledge concepts in ICIS. 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. Work with our wider Data Science team to enhance our language models with knowledge graphs as well as connect them with other predictive & prescriptive data and models into a coherent and customizable customer experience. Creatively identify, share, and experiment on new model opportunities for internal/external business use cases. 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 Knowledge Graphs and/or GenAI technologies such as Deep Learning and NLP. Experience in knowledge/context modeling and knowledge embedding techniques and related technologies (e.g., RDF, SPARQL, property graphs, cypher, GraphRag). Understanding of the core concepts behind LLMs. Proficiency with the standard python machine learning & NLP techniques and popular libraries (e.g., Pytorch, Tensorflow, nltk, genism, spacy). Basic software development principles (modularization, versioning e.g., with GIT, tests, understandable code). Degree in a scientific field relevant to Data Science. Strong communication and collaboration skills (in English), optionally German. Preferred Qualifications: Personal interest to learn about commodity markets and trading. Desire to lead experiment projects and help develop / mentor Data Science talent. Ability to create and communicate business value from Agentic AI Workflows. 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.

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