Are you interested in working with data and analytics to solve problems?
Are you interested in bringing your Gen AI, Machine Learning and NLP expertise to projects?
Data Science Global Operations team works with a focus on Generative AI, Machine Learning, Natural Language Processing, and Statistical techniques. It helps in building state of the art applications in customer experience, process innovation, content processing to drive efficiency across global operations in Elsevier. A Senior Data Scientist will play a pivotal role in the development and deployment of cutting-edge Generative AI models and solutions.
They will act as a consultant to the Clinical Solutions (CS) team, partnering on various diverse use cases and assessing the right technical fit for each use case — whether an AI-tool-based solution (e.g., Claude, Chat GPT) or a more traditional pipeline-based approach best fits the requirements, cost, and scale involved. They will be responsible for building, testing, and maintaining our Generative AI, Retrieval Augmented Generation (RAG) and Natural Language Processing (NLP) solutions. This includes evaluating their performance and implementing guardrails to ensure ethical and responsible use of AI technologies. They will engage in the entire life cycle of data science projects, including design, implementation, evaluation, productionisation and ongoing enhancement.
Responsibilities:-A key focus of the work will be on the customization and optimization of existing RAG pipelines to support applications that involve content ingestion, machine translation, and contextualized information retrieval.
Experience with end-to-end model deployment, including leveraging AI agents, Model Context Protocol (MCP) for effective context management, and cloud platforms such as AWS (including AWS Bedrock), Azure, or similar services, is a strong plus.
Their deliverables will include efficient, production-ready Python code, with experience in Java considered an asset.
They will collaborate closely with Subject Matter Experts (SMEs) and the technology team to deploy and operationalize our data science pipelines.
5+ years of relevant applied experience in data science, with a focus on Generative AI, NLP, and machine learning.
Proficiency in Python for advanced data analysis, model development, and deployment.
Strong experience with transformer models and fine-tuning techniques for large language models (LLMs).
Proficiency in Generative AI technologies, including utilizing LLMs via API access, LLM evaluation tools, and prompt engineering.
Knowledge of various RAG pipelines and their practical implementation.
We promote a healthy work-life balance across our organization. We offer various well-being initiatives, shared parental leave, study assistance, and sabbaticals to help you meet both your immediate responsibilities and long-term goals.
We understand that your well-being and happiness are essential to a successful career. Here are some benefits we offer:
A global leader in information and analytics, we assist researchers and healthcare professionals in advancing science and improving health outcomes for society’s benefit. Leveraging our publishing heritage, we combine quality information and extensive data sets with analytics to support visionary science and research, health education, and interactive learning. At Elsevier, your work contributes to addressing the world’s grand challenges and fostering a sustainable future. We utilize innovative technologies to support science and healthcare, partnering for a better world.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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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.
USA Job Seekers:
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs more than 36,000 people over 40% of whom are in North America.
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