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. Click here to access benefits specific to your location.
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.
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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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Skills Required
- 5+ years of relevant applied data science experience focused 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
- Proficiency with Generative AI technologies, including LLM APIs, LLM evaluation tools, and prompt engineering
- Knowledge of RAG pipelines and practical implementation
- Experience with end-to-end model deployment, AI agents, Model Context Protocol, and cloud platforms such as AWS, AWS Bedrock, or Azure
- Experience with Java
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
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