Edtech.com's Summary

Elsevier is hiring a Senior Data Scientist I to build and deploy generative AI, retrieval-augmented generation, and NLP solutions for its Data Science Global Operations team. The role acts as a consultant to the Clinical Solutions team, deciding whether an AI-tool-based or a traditional pipeline-based approach best fits each use case. The scientist also carries projects through design, evaluation, productionisation, and ongoing enhancement.

Highlights

Build, test, and maintain generative AI, RAG, and NLP solutions
Consult with the Clinical Solutions team on whether AI tools like Claude or ChatGPT or a pipeline approach fits the cost and scale of each use case
Customize and optimize existing RAG pipelines for content ingestion, machine translation, and contextualized information retrieval
Evaluate model performance and implement guardrails for ethical and responsible AI use
Write production-ready Python code, with Java experience considered an asset
Collaborate with subject matter experts and the technology team to operationalize data science pipelines
Bring 5+ years of applied data science experience focused on generative AI, NLP, and machine learning
Apply transformer models and fine-tuning techniques for large language models, plus LLM API access and prompt engineering
Deploy models end to end, with AI agents, MCP, and AWS Bedrock or Azure experience a strong plus
Offer includes health and life insurance, flexible working arrangements, parental leave, sabbaticals, and study assistance

Senior Data Scientist I Full Description

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).

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 committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants.

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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Senior Data Scientist I

Edtech.com's Summary

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