Senior Data Scientist I

RELX International

Chennai District

On-site

INR 3,500,000 - 6,000,000

Full time

4 days ago
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Benefits offered by this job

Health Insurance
Flexible working arrangements
Employee Assistance Program
Medical Screening
Parental and Adoption Support
Paid Time Off
Free Transport (location-specific)

Job summary

Elsevier in Chennai seeks a Senior Data Scientist I to advance Generative AI, NLP and ML initiatives. You will build and deploy GAI models, RAG systems, and NLP pipelines, collaborating with CS teams to choose optimal AI solutions for real-world use cases.

You will work on end-to-end data science projects, ensure model evaluation, and implement guardrails for responsible AI, with a focus on scalable, production-ready Python code and cloud deployments.

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

  • Customize and optimize RAG pipelines for content ingestion, MT, and contextualized retrieval.
  • Deploy end-to-end models using AI agents and MCP; leverage cloud platforms (AWS Bedrock, Azure).
  • Deliver production-ready Python code; Java experience is a plus.
  • Collaborate with SMEs and tech teams to deploy data science pipelines.

Skills

Generative AI
NLP
Python
LLMs
RAG pipelines

Tools

AWS Bedrock
Azure
Java

Job description

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.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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