At a Glance
- Tasks: Design, build, and deploy AI models using GenAI techniques.
- Company: Join a leading Global Consultancy at the forefront of technology.
- Benefits: Enjoy a hybrid work model with competitive pay up to £170k.
- Other info: MSc or PhD qualifications are a bonus; UK residency needed.
- Why this job: Work on exciting projects with cutting-edge technologies and collaborate with top teams.
- Qualifications: Strong background in Data Science, proficiency in Python, and cloud expertise required.
The predicted salary is between 60000 - 102000 € per year.
Data Scientists - GenAI
Pays up to £170k, 2-days a week in Newcastle offices.
Oliver Bernard have partnered with a Global Consultancy who are looking to hire a number of Data Scientists with an exceptionally strong background in GenAI to work on a large variety of projects. You'll be working with the latest technologies, designing, building and deploying models using LLM's and other GenAI techniques, collaborating with Engineering, Product and Infrastructure teams, creating robust and scalable AI solutions.
Key skills and experience:
- Strong background in Data Science within GenAI
- MSc or PhD qualifications a bonus
- Proficiency with Python and ML libraries
- Cloud expertise
- Strong problem and communication skills
This role is a hybrid role with 2-days a week required in Newcastle offices and can pay £100k-£170k depending on skills and experience. To be considered, you must be UK based as sadly sponsorship isn't available.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - GenAI - Up to £170k in Newcastle upon Tyne
✨Tip Number 1
Familiarise yourself with the latest advancements in Generative AI. Being well-versed in current trends and technologies will not only boost your confidence but also impress the interviewers with your knowledge.
✨Tip Number 2
Network with professionals in the field of Data Science and GenAI. Attend relevant meetups or webinars to connect with industry experts, which could lead to valuable referrals or insights about the role.
✨Tip Number 3
Prepare to discuss your experience with Python and ML libraries in detail. Be ready to share specific projects where you've successfully implemented these skills, as practical examples can set you apart from other candidates.
✨Tip Number 4
Showcase your problem-solving abilities during interviews. Think of scenarios where you've tackled complex challenges in data science, and be prepared to explain your thought process and the outcomes.
We think you need these skills to ace Data Scientist - GenAI - Up to £170k in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Data Science, particularly with GenAI. Include specific projects where you've used Python and ML libraries, as well as any cloud expertise.
Craft a Compelling Cover Letter:In your cover letter, express your passion for Data Science and GenAI. Mention why you're interested in this role and how your skills align with the company's needs. Be sure to showcase your problem-solving abilities and communication skills.
Highlight Relevant Qualifications:If you have an MSc or PhD, make sure to mention it prominently. Discuss how your academic background has prepared you for this role, especially in relation to working with LLMs and other GenAI techniques.
Proofread Your Application:Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Oliver Bernard
✨Showcase Your GenAI Knowledge
Make sure to highlight your experience with Generative AI during the interview. Be prepared to discuss specific projects you've worked on, the challenges you faced, and how you overcame them using GenAI techniques.
✨Demonstrate Python Proficiency
Since proficiency in Python is crucial for this role, be ready to discuss your coding experience. You might even be asked to solve a problem or write a small piece of code during the interview, so brush up on your Python skills and relevant ML libraries.
✨Prepare for Technical Questions
Expect technical questions related to data science, machine learning, and cloud technologies. Review key concepts and be ready to explain your thought process when tackling complex problems, as strong problem-solving skills are essential for this position.
✨Communicate Effectively
Strong communication skills are vital, especially since you'll be collaborating with various teams. Practice explaining your ideas clearly and concisely, and be prepared to discuss how you would approach working with engineering and product teams to create scalable AI solutions.
