(Senior) Data Scientist NLP & LLMs – ICIS – Karlsruhe / London

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. ICIS make 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, Milan, Mumbai, Singapore, Guangzhou, Beijing, Shanghai, Dubai, Sao Paulo, Seoul, Tokyo and Perth.

Job Description:

We’re looking for a (Senior) Data Scientist NLP & LLMs to join our Data Science team of 20+ in our analytics centre in Karlsruhe or 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, summarise, and visualize 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. 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 NLP & LLM layer in our array of Data Science models. 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 natural language vision in close collaboration with team members and external development partners. Recommended & explore model design choices and options to optimise for result quality, speed, cost, understandability, stability etc.
• Work with our wider Data Science team to connect our language models with other predictive & prescriptive data and models into a coherent 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 Deep Learning and NLP
• Experience in training and deploying Deep Neural Network Architectures
• Understanding of the core concepts behind LLMs and ideally experience in fine-tuning LLMs via PEFT techniques like LORA, RLHF
• 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)
• Knowledge of basic software development principles (modularisation, versioning eg with GIT, tests, understandable code)
• Cloud (AWS or Azure) for training Deep Neural Networks
• Degree in a scientific field relevant to Data Science
• Strong communication and collaboration skills (in English)

Preferred Qualifications:

• Interest to learn about commodity markets and trading
• Desire to lead experiment projects and help develop / mentor Data Science talent

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.

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: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

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