At a Glance
- Tasks: Design and deliver advanced AI solutions to support researchers' knowledge discovery.
- Company: Join RELX Group, a leader in innovative research technology.
- Benefits: Flexible hours, strong work/life balance, and wellbeing initiatives.
- Other info: Dynamic role with opportunities for professional growth.
- Why this job: Make a real impact in AI and NLP while leading cutting-edge projects.
- Qualifications: Experience in data science and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
RELX Group in Oxford is seeking a professional to design and deliver advanced AI, NLP, and generative AI solutions that support knowledge discovery for researchers. This role encompasses building AI/ML frameworks, developing LLM workflows, and providing technical leadership.
Candidates should have practical experience in data science and strong Python skills. Flexible working hours and a strong focus on work/life balance are offered, along with various wellbeing initiatives.
Senior AI Data Scientist - LLMs & RAG for Research in Oxford employer: RELX Group
RELX Group is an exceptional employer located in Oxford, offering a dynamic work environment that prioritises innovation and employee wellbeing. With flexible working hours and a strong emphasis on work/life balance, employees are encouraged to thrive both personally and professionally, while also benefiting from numerous growth opportunities in the rapidly evolving field of AI and data science.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Data Scientist - LLMs & RAG for Research in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and data science fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Research common questions for AI Data Scientist roles and practice your answers. We recommend using the STAR method to structure your responses, showcasing your experience with LLMs and Python.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your work with AI, NLP, and generative AI solutions. This will give potential employers a taste of what you can bring to the table and set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AI Data Scientist - LLMs & RAG for Research in Oxford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI, NLP, and generative AI. We want to see how your skills align with the role, so don’t be shy about showcasing your Python prowess and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our mission at StudySmarter. Be specific about your experience with LLM workflows and technical leadership.
Showcase Your Projects:If you’ve worked on any interesting AI/ML frameworks or research projects, make sure to mention them. We love seeing practical examples of your work, so include links or descriptions that demonstrate your expertise.
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 shows you’re keen on joining our team!
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 prepared to discuss specific projects you've worked on, especially those involving LLM workflows. 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, be ready to demonstrate your coding abilities. You might be asked to solve a problem or explain your approach to building AI/ML frameworks. Practising common data science problems in Python can give you a solid edge.
✨Prepare for Technical Leadership Questions
As this role involves providing technical leadership, expect questions about how you’ve led teams or projects in the past. Think of examples where you guided others through complex challenges, and be ready to discuss your leadership style and how you foster collaboration.
✨Emphasise Work/Life Balance
With a focus on work/life balance, it’s important to convey how you manage your time and maintain productivity. Share your strategies for balancing project demands with personal wellbeing, as this aligns with the company’s values and shows you’re a good cultural fit.
