Senior Data Scientist I

RX Brasil; India; On-site; INR 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Health insurance

Flexible work arrangements

Transport assistance

Job summary

Elsevier is seeking a Senior Data Scientist I to develop and deploy Generative AI, RAG, and NLP solutions. You will work across the full data science lifecycle from design to production, collaborating with SMEs and tech teams to deliver scalable results.

The role emphasizes end-to-end model deployment, context management, and leveraging cloud platforms like AWS Bedrock and Azure to drive innovative applications in global operations.

Qualifications

• 5+ years of applied experience in data science with Generative AI, NLP, and ML.
• Strong proficiency in Python for data analysis, model development, and deployment.
• Experience with transformer models and fine-tuning large language models.
• Knowledge of various RAG pipelines and practical implementation.
• Experience deploying models via cloud platforms (AWS, Azure).

Responsibilities

• Build, test and maintain Generative AI, RAG and NLP solutions end-to-end.
• Evaluate model performance and implement guardrails for ethical use of AI.
• Deploy and operationalize data science pipelines in collaboration with SMEs and tech teams.
• Customize and optimize existing RAG pipelines for content ingestion, translation and contextual information retrieval.

Skills

Generative AI

NLP

Machine learning

Python

LLMs

RAG pipelines

API access

Prompt engineering

Model deployment

AWS Bedrock

Azure

OpenAI API

Tools

AWS Bedrock

Azure

OpenAI API

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:-**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 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.