At a Glance
- Tasks: Design and deliver advanced AI solutions that drive scientific discovery and decision support.
- Company: Join a global leader in information and analytics, making a real impact in science and healthcare.
- Benefits: Enjoy flexible working hours, wellbeing initiatives, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on trust, respect, and quality.
- Why this job: Be at the forefront of AI technology, creating meaningful solutions for researchers and professionals.
- Qualifications: Experience in data science, AI, and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
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.
Senior Data Scientist in Slough employer: Elsevier
At Elsevier, we pride ourselves on being an exceptional employer, offering a dynamic work culture that values trust, collaboration, and innovation. Our London/Oxford hybrid working model allows for flexibility, while our commitment to employee wellbeing is reflected in our numerous initiatives, including shared parental leave and study assistance. Join us to not only advance your career as a Senior Data Scientist but also contribute to meaningful scientific discoveries that have a real impact on society.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Slough
✨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 AI and 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 in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data Scientist role. Highlight your hands-on experience with AI, machine learning, and NLP, as these are key to what we’re looking for.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re excited about this opportunity. Share specific examples of how you've designed and delivered AI solutions in the past, and how they made an impact.
Showcase Your Technical Skills:Don’t forget to mention your Python skills and any experience with LLMs or retrieval-augmented generation systems. We want to see how you’ve applied these in real-world scenarios!
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 don’t miss out on any important updates from our team.
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 challenges in previous roles. Think of examples where you designed production-ready solutions or improved existing systems. Highlight your ability to turn theoretical concepts into practical applications.
✨Collaboration is Key
Since this role involves working across teams, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully partnered with others to achieve a common goal, particularly in tech-focused projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects and future goals. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially around trust and collaboration.
