Posted today · be early
Senior Data Scientist I
Elsevier
IndiaPosted today
Skill Required
Data Scientistanalyticsand
Key highlights
- 5+ years of relevant applied experience in data science
- Focus on Generative AI, NLP, and Machine Learning
- Comprehensive Health Insurance for employee and family
- Flexible Working Arrangements
- Support for well-being initiatives, study assistance, and sabbaticals
Role overview
The Data Science Global Operations team focuses on Generative AI, Machine Learning, NLP, and statistical techniques to build state-of-the-art applications for customer experience, process innovation, and content processing. As a Senior Data Scientist, you will play a pivotal role in developing and deploying cutting-edge Generative AI models and solutions to drive efficiency across global operations at Elsevier.
Responsibilities
- Act as a consultant to the Clinical Solutions (CS) team, partnering on diverse use cases and assessing the right technical fit (AI-tool-based solutions vs. traditional pipeline-based approaches).
- Build, test, and maintain 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.
- Customize and optimize existing RAG pipelines to support applications involving content ingestion, machine translation, and contextualized information retrieval.
- Deliver efficient, production-ready Python code.
- Collaborate closely with Subject Matter Experts (SMEs) and the technology team to deploy and operationalize data science pipelines.
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.
Nice to have
- 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.
- Experience with Java.
Benefits
- Comprehensive Health Insurance for you and your immediate family.
- Enhanced Health Insurance Options.
- Group Life Insurance.
- Group Accident Insurance.
- Flexible Working Arrangements.
- Employee Assistance Program.
- Medical Screening.
- Modern Family Benefits including parental and adoption support.
- Long-Service Awards.
- Celebratory New Baby Gift.
- Subsidized Meals (location-specific).
- Various Paid Time Off options (Casual, Sick, Privilege, Compassionate, Special Sick, and Gazetted Public Holidays).
- Free Transport (location-specific).
- Well-being initiatives, shared parental leave, study assistance, and sabbaticals.
Additional details
- Elsevier is a global leader in information and analytics assisting researchers and healthcare professionals.
- We provide a fair and accessible hiring process; applicants requiring accommodation can use the Applicant Request Support Form or contact 1-855-833-5120.
- We never request money or banking details from job applicants.
- Refer to the Candidate Privacy Policy for more information.
- We are an equal opportunity employer.
- USA Job Seekers: EEO Know Your Rights.
- Originally posted on Himalayas.