At a Glance
- Tasks: Design and deliver advanced AI solutions for knowledge discovery and decision support.
- Company: Join a global team focused on innovative electronic health record products.
- Benefits: Enjoy flexible hours, wellbeing initiatives, and study assistance for personal growth.
- Other info: Opportunities for mentoring and career advancement in a supportive culture.
- Why this job: Make a real impact with cutting-edge AI technology in a collaborative environment.
- Qualifications: Experience in data science, AI, and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
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.
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.
- 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.
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.
Senior Data Scientist II in London employer: Elsevier B.V.
As a Senior Data Scientist II at our company, you will join a global team dedicated to advancing electronic health records and digital charting in a collaborative and respectful environment. We prioritise employee wellbeing with flexible working hours, comprehensive support for personal development, and numerous initiatives that promote a healthy work/life balance, making us an excellent employer for those seeking meaningful and impactful work in the tech-driven healthcare sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist II in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even online forums related to data science and AI. You never know who might have the inside scoop on job openings or can refer you directly.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving AI, NLP, and machine learning. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python skills and understanding the latest AI/ML frameworks. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Our Website
Don’t forget to check out our careers page! Applying directly through our website not only shows your interest but also helps us keep track of your application. Plus, we love seeing candidates who are proactive about joining our team!
We think you need these skills to ace Senior Data Scientist II in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI, NLP, and machine learning. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills:Since this role involves a lot of coding and technical expertise, be sure to mention your Python skills and any experience with LLMs or AI frameworks. We love seeing practical examples of your work, so include links to your GitHub or any projects you've contributed to.
Highlight Collaboration Experience:Collaboration is key for us at StudySmarter, so share examples of how you’ve worked with cross-functional teams in the past. Whether it’s mentoring others or leading projects, we want to know how you contribute to a team environment.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role you’re interested in!
How to prepare for a job interview at Elsevier B.V.
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI, NLP, and generative AI solutions. Be ready to discuss specific projects you've worked on, especially those involving LLMs and retrieval-augmented generation systems. 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.
✨Collaboration is Key
This role emphasises teamwork, so be prepared to discuss how you've collaborated with others in past projects. Share examples of how you’ve turned complex challenges into practical solutions while working with cross-functional teams. Highlighting your communication skills will also be beneficial.
✨Prepare Questions About Their Products
Research the company’s products and be ready to ask insightful questions about their electronic health records and AI solutions. This shows your genuine interest in their work and helps you understand how you can contribute to their goals.
