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- Tasks: Design and implement AI solutions while collaborating with engineers and analysts.
- Company: Leading transformation consultancy in London focused on innovation.
- Benefits: Inclusive workplace, competitive salary, and opportunities for professional growth.
- Why this job: Join a diverse team and make an impact with cutting-edge AI technology.
- Qualifications: Strong experience in data science, machine learning, and Python.
- Other info: Dynamic environment that values every voice and promotes inclusivity.
The predicted salary is between 36000 - 60000 £ per year.
A leading transformation consultancy in London is seeking a Data Scientist to develop and implement applied AI solutions. This role involves designing machine learning models, collaborating with engineers and analysts, and communicating complex concepts to stakeholders.
The ideal candidate has strong experience in data science and machine learning, especially with Python and LLMs. Transformuk values inclusivity and is committed to creating a diverse workplace, ensuring every voice is heard and valued.
Applied AI Data Scientist - LLM & RAG employer: Transformuk
Contact Detail:
Transformuk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Data Scientist - LLM & RAG
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving Python and LLMs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing complex concepts clearly.
✨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 Applied AI Data Scientist - LLM & RAG
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data science and machine learning, especially with Python and LLMs. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about applied AI solutions and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Collaboration Skills: Since this role involves working closely with engineers and analysts, make sure to mention any collaborative projects you've been part of. We value teamwork, so let us know how you’ve successfully communicated complex concepts in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Transformuk
✨Know Your AI Stuff
Make sure you brush up on your knowledge of applied AI, especially around machine learning models and LLMs. Be ready to discuss specific projects you've worked on and how you used Python to solve real-world problems.
✨Collaboration is Key
Since this role involves working with engineers and analysts, think about examples where you've successfully collaborated in a team. Prepare to share how you communicate complex concepts clearly to different stakeholders.
✨Showcase Your Inclusivity Mindset
Transformuk values inclusivity, so be prepared to discuss how you contribute to a diverse workplace. Think of instances where you've supported or advocated for diverse perspectives in your previous roles.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's approach to AI solutions and their vision for the future. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
