At a Glance
- Tasks: Design and deliver advanced AI solutions for knowledge discovery and decision support.
- Company: Join a forward-thinking organisation that values innovation and collaboration.
- Benefits: Enjoy flexible hours, wellbeing initiatives, and opportunities for personal growth.
- Other info: Great career development opportunities in a supportive environment.
- Why this job: Make a real impact in the AI field while working on cutting-edge projects.
- Qualifications: Experience in data science, AI, and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support for researchers.
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.
Qualifications
- 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.
Benefits
- We promote a healthy work/life balance across the organization.
- 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.
- Flexible working hours to fit your productivity and life.
Senior Data Scientist II in Oxford employer: RELX Group
As a Senior Data Scientist II, you will thrive in an innovative environment that champions advanced AI and NLP solutions, contributing to meaningful research and decision-making. Our company prioritises a healthy work/life balance, offering flexible working hours, wellbeing initiatives, and opportunities for professional growth through mentoring and study assistance. Join us to be part of a collaborative culture that values your contributions and supports your long-term career aspirations.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist II in Oxford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 AI, NLP, and generative AI projects. This is your chance to demonstrate what you can do beyond your CV, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach problems!
✨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, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Data Scientist II in Oxford
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 generative AI solutions. We want to see how your skills align with the responsibilities outlined in the job description.
Showcase Your Projects:Include specific examples of projects where you've designed and built AI/ML systems. We love seeing real-world applications of your work, especially if they relate to knowledge discovery or decision support.
Highlight Collaboration Skills:Since we value teamwork, mention any experiences where you’ve collaborated with engineering teams or provided mentorship. This shows us you can lead and support others while delivering high-quality results.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity.
How to prepare for a job interview at RELX Group
✨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.
✨Prepare for Technical Leadership Questions
As this role involves mentoring and providing technical leadership, think about your past experiences where you've led a team or project. Be ready to share how you supported others' growth and ensured high-quality delivery. This will highlight your collaborative spirit and leadership skills.
✨Understand Evaluation Frameworks
Familiarise yourself with evaluation, experimentation, and monitoring frameworks relevant to AI/ML. Be prepared to discuss how you measure user impact and ensure quality and reliability in your projects. This shows that you’re not just about building solutions but also about ensuring they perform well.
