Senior Data Scientist

Senior Data Scientist – GenAI (m/f/d)

Karlsruhe | Full time

Position: Senior Data Scientist / Senior AI Scientist – Knowledge Graphs & GenAI

Location: Karlsruhe (Germany) or London (UK) - hybrid

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 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:

• 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. 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 enhance our language models with knowledge graphs as well as connect them with other predictive & prescriptive data and models into a coherent and customisable customer experience. Integrate knowledge graph-based technologies into RAG pipelines to enhance data with graph-based structures.

• Creatively identify, share and experiment on new model opportunities for internal/external business use cases. Analyse model usage & results 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 Knowledge Graphs and/or GenAI technologies such as Deep Learning and NLP

• Experience in knowledge/context modelling and knowledge embedding techniques and related technologies (eg 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 (eg Pytorch, Tensorflow, nltk, genism, spacy)

• 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), 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. 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.

Related fields: Analytics, Simulation, Operations Research, Artificial Intelligence, Machine Learning, Time Series Analysis, Optimisation, Statistics, Econometrics, Behaviour based modelling, Agent based modelling, Economics, System Dynamics

At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.

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. We are committed to providing a fair and accessible hiring process. 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.