Senior Data Scientist – GenAI (m/f/d)

LexisNexis
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - NLP & GenAI (Hybrid, Bristol)

Senior Data Scientist with a GenAI focus

Senior Data Scientist - ML, NLP & GenAI (Europe Travel)

Senior NLP & GenAI Data Scientist — Hybrid

Senior Data Scientist - Live Service Integrity

Senior Data Scientist

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.

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. 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 modelling and knowledge embedding techniques and related technologies (e.g., RDF, SPARQL, property graphs, cypher, GraphRag).
  • Understanding of the core concepts behind LLMs.
  • Proficiency with standard Python machine learning & NLP techniques and popular libraries (e.g., Pytorch, Tensorflow, nltk, gensim, spacy).
  • Basic software development principles (modularization, versioning 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.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.