At a Glance
- Tasks: Design and deliver advanced AI solutions that drive scientific discovery and decision support.
- Company: Global leader in information and analytics, committed to advancing science and healthcare.
- Benefits: Flexible working hours, wellbeing initiatives, study assistance, and sabbaticals for a balanced life.
- Other info: Join a dynamic team with excellent career growth opportunities and a focus on innovation.
- 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 required.
The predicted salary is between 72000 - 88000 £ per year.
Senior Data Scientist, London/Oxford hybrid working.
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 support products education 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 (RAG) systems for search, summarization, question answering, and evidence-grounded insight .
- 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.
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Senior Data Scientist in City of London employer: Energy Jobline ZR
Energy Jobline ZR is an excellent employer for Structural Engineers, offering a vibrant work culture in the heart of Shoreditch. With a focus on innovation and collaboration, employees benefit from competitive salaries, professional development opportunities, and the chance to work on exciting projects from concept to completion within a supportive team environment.
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We think this is how you could land Senior Data Scientist in City of London
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We think you need these skills to ace Senior Data Scientist in City of London
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
