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- Tasks: Design original data science challenges and train others in AI technologies.
- Company: Leading AI consultancy in the UK with a focus on innovation.
- Benefits: Fully remote, flexible hours, and competitive compensation.
- Why this job: Influence the future of Generative AI while working from anywhere.
- Qualifications: Master’s or PhD in Data Science and 5+ years of experience.
- Other info: Join a dynamic team and shape the future of AI.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI consultancy in the United Kingdom is looking for a Data Science AI Trainer to design original computational data science challenges. Candidates should hold a Master’s or PhD in Data Science and have over 5 years of relevant experience. Proficiency in Python and statistical analysis is essential. This role is fully remote, offering flexible hours and the chance to influence the development of Generative AI technologies while being compensated competitively.
Remote GenAI Data Scientist & AI Trainer employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote GenAI Data Scientist & AI Trainer
✨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
Prepare for those interviews! Research common questions for Data Science roles, especially around Python and statistical analysis. Practise your answers and think of examples from your experience that showcase your skills.
✨Tip Number 3
Showcase your work! Create a portfolio of your projects, especially those related to Generative AI. This can be a great conversation starter during interviews and demonstrates your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Remote GenAI Data Scientist & AI Trainer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data science and AI training. We want to see how your skills in Python and statistical analysis shine through, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your passion for Generative AI technologies. Share specific examples of your past work and how it aligns with the role. Let your personality come through!
Showcase Your Projects: If you’ve worked on any interesting data science projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to computational challenges.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Mindrift
✨Know Your Data Science Fundamentals
Make sure you brush up on your data science fundamentals, especially in Python and statistical analysis. Be prepared to discuss specific projects where you've applied these skills, as this will show your practical experience and depth of knowledge.
✨Showcase Your Creativity
Since the role involves designing original computational challenges, think of innovative ideas or examples from your past work that demonstrate your creativity. Bring along a portfolio or examples of challenges you've created to showcase your ability to think outside the box.
✨Understand Generative AI Technologies
Familiarise yourself with the latest trends and developments in Generative AI. Being able to discuss how these technologies can be applied in real-world scenarios will impress the interviewers and show your passion for the field.
✨Prepare Questions for Them
Interviews are a two-way street, so prepare insightful questions about the company’s vision for Generative AI and how they see the role evolving. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
