At a Glance
- Tasks: Design and deliver advanced AI solutions that accelerate scientific discovery.
- Company: Global leader in information and analytics, advancing science and healthcare.
- Benefits: Flexible working hours, wellbeing initiatives, and study assistance.
- Other info: Collaborative team culture with opportunities for mentoring and career growth.
- Why this job: Make a real impact on research and healthcare with cutting-edge AI technology.
- Qualifications: Experience in AI, machine learning, and strong Python skills required.
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.
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 that fosters a culture of trust, respect, and collaboration. Our commitment to employee well-being is reflected in our flexible working hours, numerous wellbeing initiatives, and opportunities for professional growth through mentoring and study assistance. Join us in a role where your contributions directly impact scientific discovery and healthcare, all while enjoying a supportive work environment that values work-life balance.
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 with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI, NLP, and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data science. Practice common interview questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
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 II role. Highlight your experience with AI, machine learning, and NLP, and show how your skills align with our mission to advance scientific 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 of your skills, especially if they had a meaningful impact!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your experience and achievements, making 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, it’s super easy!
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 Problem-Solving Skills
Prepare to talk about how you've tackled complex scientific data challenges in the past. Think of examples where you designed production-ready solutions or improved existing systems. This will demonstrate your ability to turn theoretical knowledge into real-world applications.
✨Collaboration is Key
Since the role involves working across teams, be ready to share experiences where you've successfully collaborated with others. Highlight your communication skills and how you’ve mentored colleagues or contributed to team projects. This will show that you're a team player who values collaboration.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI initiatives and how they impact scientific discovery. This not only shows your interest in the role but also your understanding of the industry. It’s a great way to engage with the interviewers and leave a lasting impression.
