At a Glance
- Tasks: Design and deliver advanced AI solutions for knowledge discovery and decision support.
- Company: Global leader in electronic health records with a focus on innovation.
- Benefits: Healthy work/life balance, wellbeing initiatives, flexible hours, and study assistance.
- Other info: Opportunities for mentoring and career growth in a dynamic team.
- Why this job: Make a real impact using cutting-edge AI technologies in a collaborative environment.
- Qualifications: Experience in data science, AI, machine learning, and strong Python skills.
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 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 a strong focus on work/life balance, making us an excellent employer for those seeking meaningful contributions in the healthcare technology sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist II
✨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 techniques. 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 at StudySmarter! 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!
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 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!
Show Your Passion:Let us know why you’re excited about working in the field of data science and how you can contribute to our mission. A genuine enthusiasm for the role can really make your application stand out!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary to explain your expertise. Make it easy for us to see your qualifications!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
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 share examples of how you've successfully collaborated with others. Highlight any mentoring experiences or cross-team projects where you turned complex challenges into practical solutions. This will showcase your ability to work well within a team.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with thoughtful questions about the company's approach to AI and their product development process. Asking about their evaluation frameworks or how they ensure quality and reliability in their systems shows you're genuinely interested and engaged.
