Senior Data Scientist II

Posted 15 Hours Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Artificial Intelligence • Healthtech • Information Technology • Other • Analytics
The Role
Design and deliver production-ready AI, NLP, and generative-AI solutions (including LLMs and RAG) for knowledge discovery. Build retrieval, ranking, recommendation, and decision-support systems, integrate scientific metadata and ontologies, establish evaluation and monitoring, write production Python code, and provide technical leadership and mentoring.
Summary Generated by Built In

Senior Data Scientist

AI for Science, Research Intelligence & Knowledge Discovery

Technology – Data Science Organization

Do you want to build advanced AI that helps researchers discover, understand, and advance science?

Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale?

Would you enjoy building production-ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals?

About our Team

Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today’s modern clinical environment. We have a very stable product that we’ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality.

About the Role

In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions.

Responsibilities

  • Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications.

  • Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation.

  • Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques.

  • Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows.

  • Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability.

  • Write production-ready Python code and partner with engineering teams to deploy solutions at scale.

  • Provide technical leadership and mentoring to support high-quality delivery and continuous improvement.

Requirements

  • Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field.

  • Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments.

  • Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices.

  • Strong Python skills and solid machine learning fundamentals.

  • Experience working with large-scale text or content-rich datasets and modern AI/ML frameworks.

  • Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact.

  • Familiarity with cloud platforms and modern software engineering practices.

  • Strong communication, collaboration, and mentoring skills.

Work in a Way That Works for You

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working Pattern

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

About the Business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

Together, we create possibilities. Join us.

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.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

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.

USA Job Seekers:

EEO Know Your Rights.

Skills Required

  • Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field
  • Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments
  • Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices
  • Strong Python skills and solid machine learning fundamentals
  • Experience working with large-scale text or content-rich datasets and modern AI/ML frameworks
  • Experience with RAG, semantic, vector, or hybrid search, plus experimentation and evaluation approaches
  • Familiarity with cloud platforms and modern software engineering practices
  • Ability to establish evaluation, experimentation, and monitoring frameworks to ensure quality and reliability
  • Experience integrating scientific metadata, ontologies, taxonomies, and knowledge assets into AI workflows
  • Strong communication, collaboration, and mentoring skills
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The Company
0 Employees
Year Founded: 1880

What We Do

Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals, empowering them to make better decisions, and deliver better care. Because informed decisions lead to better outcomes, Elsevier is a leader in information and analytics for customers across the global research and health ecosystems. Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems.

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