Senior Data Scientist I

RELX International; India; Hybrid; INR 1,800,000 - 4,000,000; Full time

Benefits offered by this job

Comprehensive Health Insurance

Flexible Working Arrangements

Employee Assistance Program

Medical Screening

Long‑Service Awards

Paid Time Off options

Subsidised Meals

Free Transport for home-office commuts

Job summary

Elsevier is seeking a Senior Data Scientist I to innovate with Generative AI, NLP, and ML across global operations. You will tailor RAG pipelines for content ingestion and retrieval, deploying end-to-end models and tools across cloud platforms like AWS and Azure.

Collaboration with SMEs and the tech team will be essential to productionise scalable data science pipelines. The role emphasizes practical Python development, model evaluation, and responsible AI practices.

Qualifications

• 5+ years of applied experience in data science, NLP and machine learning.
• Proficiency in Python for advanced data analysis, model development and deployment.
• Experience with transformer models and fine-tuning of large language models (LLMs).
• Proficiency with Generative AI technologies, including API access, evaluation tools and prompt engineering.
• Knowledge of RAG pipelines and practical implementation.

Responsibilities

• Customize and optimize existing RAG pipelines for content ingestion, machine translation and contextual information retrieval.
• Deploy end-to-end data science models and leverage AI agents and MCP for context management; cloud platforms such as AWS/Azure.
• Produce production-ready Python code; Java is a plus.
• Collaborate with SMEs and the technology team to operationalise data science pipelines.

Skills

Python

Generative AI

NLP

Transformer models/LLMs

RAG pipelines

Tools

AWS Bedrock

Azure

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 optimisation of existing RAG pipelines to support applications that involve content ingestion, machine translation, and contextualised 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 operationalise 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 organisation. 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:

We understand that your well‑being and happiness are essential to a successful career. Here are some benefits we offer:

• 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 prioritising your well‑being.
• Modern Family Benefits including parental and adoption support.
• Long‑Service Awards recognising dedication and commitment.
• Celebratory New Baby Gift.
• Subsidised 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 utilise 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.

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