At a Glance
- Tasks: Innovate and develop AI solutions while mentoring junior team members.
- Company: Leading AI and Data Science consultancy in the UK.
- Benefits: Salary up to £80,000, bonuses, and hybrid working options.
- Why this job: Join a dynamic firm making transformative impacts across industries.
- Qualifications: 3+ years of experience, strong Python skills, and AI tool familiarity.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 48000 - 64000 £ per year.
A leading AI and Data Science consultancy in the UK seeks a Senior Data & AI Scientist to innovate across AI projects. The role involves developing solutions, mentoring juniors, and collaborating with teams.
Candidates should have:
- 3+ years of relevant experience
- Strong Python skills
- Familiarity with AI tools
The company offers a salary up to £80,000 with a bonus, alongside a hybrid working schedule. Join a dynamic firm committed to AI advancement and transformative impact in various industries.
Senior AI Scientist: LLMs, RAG & Agentic AI in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Scientist: LLMs, RAG & Agentic AI in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those involving LLMs and agentic AI. This will help us see your practical experience and creativity.
✨Tip Number 3
Ace the interview by practising common questions related to AI and data science. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Senior AI Scientist: LLMs, RAG & Agentic AI in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 3+ years of relevant experience in AI and Data Science. We want to see how you've tackled projects, so share specific examples that showcase your skills and achievements.
Python is Key: Since strong Python skills are a must, don’t forget to mention any projects or tools you've developed using Python. We love seeing how you’ve applied your coding skills in real-world scenarios!
Be Collaborative: Collaboration is at the heart of what we do. In your application, mention any experiences where you’ve worked with teams or mentored juniors. This shows us you’re a team player who can thrive in our dynamic environment.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Harnham
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around LLMs, RAG, and Agentic AI. Be ready to discuss your past projects and how they relate to the role. This shows you're not just familiar with the theory but can apply it practically.
✨Show Off Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms or data manipulation tasks beforehand. It’s all about showing you can walk the walk!
✨Mentorship Mindset
As this role involves mentoring juniors, think about your past experiences in guiding others. Prepare examples of how you've helped team members grow or overcome challenges. This will highlight your leadership qualities and collaborative spirit.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s AI projects, team dynamics, and future goals. This not only shows your interest but also helps you gauge if the company is the right fit for you.