Senior Data Scientist I

Elsevier; India; Hybrid; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Health Insurance

Flexible Working Arrangements

Paid Time Off

Transport for home-office commutes

Parental and adoption support

Job summary

Elsevier is seeking a Senior Data Scientist I to drive Generative AI, NLP, and deployment of cutting-edge AI solutions. You will work with the Clinical Solutions team to assess fit for AI-tool based or traditional pipelines, and build, test, and maintain GenAI, RAG, and NLP systems.

You will lead end-to-end data science life cycle, including design, implementation, evaluation, productionisation and ongoing enhancement, ensuring responsible AI usage and governance.

Qualifications

• 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.

Responsibilities

• Customization and optimization of existing RAG pipelines for content ingestion, MT, and contextual info retrieval.
• End-to-end model deployment experience, including AI agents and MCP for context management, with AWS/Azure familiarity.
• Produce production-ready Python code; Java experience is a plus.
• Collaborate with SMEs and tech teams to deploy and operationalize data science pipelines.

Skills

Python

LLMs

NLP

Generative AI

RAG pipelines

Transformer models

Tools

AWS Bedrock

Azure

Java

Job description

Senior Data Scientist I

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?

About our Team

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.

About the Role

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.

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.

Work in a Way that Works for You

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.

Working for You

• 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).

About the Business

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.

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