At a Glance
- Tasks: Design and deliver advanced AI solutions for knowledge discovery and decision support.
- Company: Leading tech firm focused on innovative AI applications.
- Benefits: Healthy work/life balance, flexible hours, wellbeing initiatives, and study assistance.
- Other info: Opportunities for mentorship and career growth in a dynamic environment.
- Why this job: Join a team shaping the future of AI and make a real impact.
- 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 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 career aspirations in a dynamic field.
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 folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨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 visually appealing and easy to navigate.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data science scenarios and be ready to discuss your past projects in detail. We want to see how you think and approach challenges!
✨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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Scientist II role. Highlight your expertise in AI, NLP, and generative AI solutions, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about this role and how your background aligns with our mission at StudySmarter. Share specific examples of your work with LLMs and AI/ML systems to grab our attention!
Showcase Your Technical Skills:Don’t forget to mention your strong Python skills and experience with modern AI/ML frameworks. We want to see how you’ve applied these skills in real-world scenarios, so be specific about your contributions.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
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 how you approach collaboration and communication within a team.
✨Understand Evaluation Frameworks
Familiarise yourself with evaluation, experimentation, and monitoring frameworks relevant to AI/ML. Be prepared to discuss how you ensure quality and performance in your projects. Having examples of how you've measured user impact will definitely impress the interviewers.
