At a Glance
- Tasks: Design and build advanced AI capabilities for LeapSpace using large language models.
- Company: Join Elsevier, a leader in scientific publishing and innovation.
- Benefits: Flexible working hours, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on work-life balance.
- Why this job: Make a real impact in AI research while enhancing scientific experiences.
- Qualifications: Extensive experience in applied AI, NLP, and strong Python programming skills.
The predicted salary is between 60000 - 80000 £ per year.
Elsevier is seeking a Senior Data Scientist to design and build advanced AI capabilities powering LeapSpace. This role focuses on applied AI research and development, integrating large language models with trusted scientific data, and enhancing AI-assisted research experiences.
Ideal candidates should have extensive hands-on experience in applied AI and NLP, strong programming skills in Python, and familiarity with modern AI frameworks. The position supports flexible working hours to promote work-life balance.
Senior AI Scientist - LLMs, RAG & Research Workflows employer: Elsevier
Elsevier is an excellent employer for those passionate about advancing AI in the scientific realm, offering a dynamic work culture that fosters innovation and collaboration. With flexible working hours to support work-life balance, employees are encouraged to grow their skills through hands-on experience with cutting-edge technologies, making it a rewarding environment for personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Scientist - LLMs, RAG & Research Workflows
✨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
Showcase your skills! Create a portfolio of your projects, especially those involving large language models and AI frameworks. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to AI and NLP, and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your skills align with the role and our mission.
We think you need these skills to ace Senior AI Scientist - LLMs, RAG & Research Workflows
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on experience with applied AI and NLP in your application. We want to see your programming prowess in Python, so don’t hold back on showcasing your projects or any relevant work you've done!
Tailor Your Application:Take a moment to customise your application for the Senior AI Scientist role. We love when candidates connect their experiences directly to the job description, especially around integrating large language models and enhancing research workflows.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and how you fit into our team at StudySmarter.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Elsevier
✨Know Your AI Stuff
Make sure you brush up on your knowledge of large language models and their applications in research. Be ready to discuss specific projects you've worked on that involved AI and NLP, as this will show your hands-on experience.
✨Show Off Your Coding Skills
Since strong programming skills in Python are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain your thought process while coding, so practice common algorithms and data structures beforehand.
✨Familiarise Yourself with the Company
Research Elsevier and its LeapSpace initiative. Understanding their goals and how your expertise can contribute will help you tailor your answers and show genuine interest in the role.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles and how you overcame them, especially in relation to AI research and development.
