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- Tasks: Review AI outputs and validate technical concepts while providing structured feedback.
- Company: Innovative tech company in the UK focused on AI advancements.
- Benefits: Flexible part-time hours, competitive pay, and opportunities for growth.
- Why this job: Contribute to cutting-edge AI projects and enhance your data science skills.
- Qualifications: Strong background in data science or machine learning, with Python and SQL proficiency.
- Other info: Join a dynamic team and help shape the future of AI.
The predicted salary is between 13 - 16 £ per hour.
An innovative tech company in the United Kingdom is seeking a part-time data science professional to review AI-generated outputs and validate technical concepts. This role involves providing structured feedback and supporting benchmarking efforts.
The ideal candidate has a strong background in data science or machine learning, proficiency in Python and SQL, and experience with popular machine learning frameworks.
Join this flexible position and contribute to advancing AI capabilities.
Part-Time ML Data Scientist for AI Quality & Benchmarking in London employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Part-Time ML Data Scientist for AI Quality & Benchmarking in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data science community. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. This is your chance to demonstrate your expertise in machine learning frameworks and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key in this role. We want to see how you think!
✨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 Part-Time ML Data Scientist for AI Quality & Benchmarking in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and machine learning. We want to see how your skills in Python, SQL, and frameworks align with the role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this part-time position and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Feedback Skills: Since the role involves reviewing AI outputs, mention any experience you have in providing structured feedback. We love candidates who can demonstrate their ability to critically assess and improve AI-generated content.
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 Crossing Hurdles
✨Know Your Tech
Make sure you brush up on your knowledge of Python, SQL, and the machine learning frameworks mentioned in the job description. Be ready to discuss specific projects where you've used these skills, as it shows you're not just familiar with them but can apply them effectively.
✨Prepare for Technical Questions
Expect some technical questions that test your understanding of AI concepts and data validation processes. Practise explaining complex ideas in simple terms, as this will demonstrate your ability to communicate effectively, which is crucial for providing structured feedback.
✨Showcase Your Problem-Solving Skills
Think of examples where you've tackled challenges in data science or machine learning. Be prepared to walk through your thought process and how you arrived at your solutions. This will highlight your analytical skills and your approach to benchmarking efforts.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's AI projects or their approach to quality assurance. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
