At a Glance
- Tasks: Design and deliver advanced AI solutions for scientific discovery and knowledge support.
- Company: Global leader in information and analytics, advancing science and healthcare.
- Benefits: Flexible working hours, wellbeing initiatives, study assistance, and sabbaticals.
- Other info: Collaborative team culture with opportunities for mentoring and career growth.
- Why this job: Make a real impact on science and healthcare with cutting-edge AI technologies.
- Qualifications: Experience in data science, AI, machine learning, and strong Python skills.
The predicted salary is between 60000 - 80000 £ per year.
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 supports products in education and 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.
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.
Senior Data Scientist II employer: Elsevier
At Elsevier, we pride ourselves on being an exceptional employer, offering a vibrant work culture that prioritises collaboration, trust, and respect. Our London office provides a dynamic environment where you can thrive professionally while enjoying a healthy work/life balance, supported by numerous wellbeing initiatives and flexible working hours. With ample opportunities for personal and professional growth, you'll be part of a global leader in information and analytics, making a meaningful impact on science and healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist II
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research the company and its products, especially how they use AI and data science. Be ready to discuss your past projects and how they relate to the role you're applying for.
✨Tip Number 3
Showcase your skills! Create a portfolio of your work, including any AI/ML projects you've done. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team and contributing to our mission.
We think you need these skills to ace Senior Data Scientist II
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Data Scientist role. Highlight your experience with AI, machine learning, and NLP, as these are key areas for us. Show how your skills align with our mission to advance science and knowledge discovery.
Showcase Your Projects:Include specific examples of projects you've worked on that demonstrate your expertise in building AI/ML solutions. We love seeing real-world applications, so if you've developed production-ready systems or worked with large datasets, make sure to mention them!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your experience and skills. We appreciate a well-structured application that makes it easy for us to see why you’d be a great fit for the team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll find all the details about the position and our company culture there!
How to prepare for a job interview at Elsevier
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI, machine learning, and NLP. Be ready to discuss specific projects you've worked on, especially those involving LLMs and generative AI. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain your code from previous projects. Practising common algorithms and data structures in Python can give you an edge.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would approach real-world problems using AI and data science. Think about how you would design workflows for search or summarisation tasks. Being able to articulate your thought process will impress the interviewers.
✨Emphasise Collaboration and Communication
This role involves working across teams, so highlight your collaboration skills. Share examples of how you've successfully worked with others to deliver projects. Good communication is key, especially when explaining complex concepts to non-technical stakeholders.
