[Hiring] Senior Data Scientist @RELX

Role Description

A Senior Data Scientist will play a pivotal role in the development and deployment of cutting-edge Generative AI models and solutions.

• Act as a consultant to the Clinical Solutions (CS) team, partnering on various diverse use cases.
• Assess the right technical fit for each use case, whether an AI-tool-based solution or a more traditional pipeline-based approach.
• Responsible for building, testing, and maintaining Generative AI, Retrieval Augmented Generation (RAG), and Natural Language Processing (NLP) solutions.
• Evaluate performance and implement guardrails to ensure ethical and responsible use of AI technologies.
• Engage in the entire life cycle of data science projects, including design, implementation, evaluation, productionisation, and ongoing enhancement.

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 and Model Context Protocol (MCP) for effective context management.
• Strong plus if familiar with cloud platforms such as AWS (including AWS Bedrock), Azure, or similar services.
• Deliverables will include efficient, production-ready Python code; experience in Java is considered an asset.
• Collaborate closely with Subject Matter Experts (SMEs) and the technology team to deploy and operationalize data science pipelines.

Qualifications

• 5+ years of relevant applied experience in data science, focusing 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.

Requirements

• 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.

Benefits

• Comprehensive Health Insurance covers you and your immediate family.
• Enhanced Health Insurance Options with competitive rates.
• Group Life Insurance ensuring financial security for your loved ones.
• Group Accident Insurance offering extra protection.
• Flexible Working Arrangements to achieve a balanced work-life schedule.
• Employee Assistance Program providing support for personal and work-related challenges.
• Medical Screening prioritizing your well-being.
• Modern Family Benefits including parental and adoption support.
• Long-Service Awards recognizing dedication and commitment.
• Celebratory New Baby Gift.
• Subsidized Meals (location-specific).
• Various Paid Time Off options including Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays.
• Free Transport for home-office-home commutes (location-specific).