At a Glance
- Tasks: Develop AI models for real-time fitness analysis and form correction.
- Company: Innovative health tech company in Greater London.
- Benefits: Competitive salary, share options, and flexible hybrid working.
- Other info: Exciting opportunity to work with cutting-edge technology in a dynamic environment.
- Why this job: Join a skilled team and shape the future of fitness technology.
- Qualifications: Strong background in AI model development and statistical analysis.
The predicted salary is between 36000 - 60000 £ per year.
A health technology innovator in Greater London is seeking a Data Scientist to advance their ReflectAI technology. In this role, you will collaborate closely with a skilled team to develop and implement AI models for real-time form correction and analysis.
The ideal candidate will have a strong background in AI model development, statistical analysis, and experience with libraries like MediaPipe and MoveNet.
This position offers a competitive salary, share options, and a flexible hybrid working environment.
Hybrid AI & Data Scientist — Real-Time Fitness AI in London employer: MAGIC AI
As a leading health technology innovator in Greater London, we pride ourselves on fostering a collaborative and dynamic work culture that empowers our employees to thrive. With competitive salaries, share options, and a flexible hybrid working environment, we are committed to supporting your professional growth while you contribute to cutting-edge AI advancements in fitness technology.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid AI & Data Scientist — Real-Time Fitness AI in London
✨Tip Number 1
Network like a pro! Reach out to people in the health tech and AI space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI models and data analysis projects. This is your chance to shine and demonstrate what you can bring to the table, especially with tools like MediaPipe and MoveNet.
✨Tip Number 3
Prepare for interviews by brushing up on real-time data analysis scenarios. Think about how you would tackle form correction in fitness applications. We want you to be ready to impress with your problem-solving skills!
✨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 Hybrid AI & Data Scientist — Real-Time Fitness AI in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with AI model development and statistical analysis in your application. We want to see how your background aligns with our ReflectAI technology!
Be Specific About Your Experience:When mentioning libraries like MediaPipe and MoveNet, give us concrete examples of how you've used them in past projects. This helps us understand your hands-on experience and how you can contribute to our team.
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the job description. We love seeing candidates who take the time to connect their skills with what we’re looking for.
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 us!
How to prepare for a job interview at MAGIC AI
✨Know Your AI Models
Make sure you brush up on your knowledge of AI model development, especially in the context of real-time applications. Be ready to discuss your experience with libraries like MediaPipe and MoveNet, as well as any projects where you've implemented similar technologies.
✨Showcase Your Statistical Skills
Prepare to demonstrate your statistical analysis skills during the interview. Think of specific examples where you've used data to drive decisions or improve models. This will show that you can not only develop AI but also understand the data behind it.
✨Collaborative Spirit
Since this role involves working closely with a team, be prepared to talk about your collaborative experiences. Share examples of how you've successfully worked with others to achieve a common goal, particularly in tech or data-driven projects.
✨Ask Insightful Questions
Come equipped with thoughtful questions about the ReflectAI technology and the company's vision for its future. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
