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- Tasks: Evaluate AI systems and validate numerical solutions using your statistical expertise.
- Company: Dynamic AI solutions company based in the UK, focused on innovative projects.
- Benefits: Earn up to $43/hour with flexible part-time hours and competitive pay.
- Why this job: Join a cutting-edge team and apply your skills in a rapidly evolving tech landscape.
- Qualifications: Degree in Statistics and strong Python skills required.
- Other info: Perfect for students seeking valuable experience while balancing studies.
The predicted salary is between 10 - 17 £ per hour.
A project-based AI solutions company in the United Kingdom is seeking experienced statisticians for part-time, project-based work. Contributors will be involved in evaluating AI systems, validating numerical solutions, and applying statistical problem-solving in innovative tech environments.
Ideal candidates possess:
- A degree in Statistics
- Strong Python skills
- Ability to work approximately 10-20 hours per week
Competitive pay rates up to $43/hour are available based on expertise.
Statistics & AI Evaluation Specialist (Part-Time) employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistics & AI Evaluation Specialist (Part-Time)
✨Tip Number 1
Network like a pro! Reach out to fellow statisticians and AI enthusiasts on LinkedIn or at local meetups. You never know who might have the inside scoop on part-time gigs that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your statistical projects and any AI evaluations you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Be proactive! Don’t just wait for job postings to pop up. Reach out directly to companies you admire and express your interest in part-time roles. A little initiative can go a long way!
✨Tip Number 4
Apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to navigate!
We think you need these skills to ace Statistics & AI Evaluation Specialist (Part-Time)
Some tips for your application 🫡
Show Off Your Stats Skills: Make sure to highlight your degree in Statistics and any relevant experience you have. We want to see how you've applied your statistical knowledge in real-world scenarios, especially in tech environments.
Python Proficiency is Key: Since strong Python skills are a must, don’t forget to mention any projects or experiences where you've used Python for statistical analysis. We love seeing practical examples of your coding prowess!
Tailor Your Application: Take a moment to customise your application for this role. We appreciate when candidates align their skills and experiences with what we’re looking for, so make it clear why you’re the perfect fit for our team.
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. Don’t miss out!
How to prepare for a job interview at Mindrift
✨Know Your Stats
Brush up on your statistical knowledge and be ready to discuss specific methodologies you've used in past projects. This will show that you not only have the theoretical background but also practical experience in evaluating AI systems.
✨Show Off Your Python Skills
Prepare to demonstrate your Python proficiency. You might be asked to solve a problem or explain how you've used Python in your previous work. Having a couple of examples ready can really set you apart from other candidates.
✨Understand the Company’s Projects
Do some research on the company’s recent projects and their approach to AI solutions. Being able to discuss how your skills align with their work will show genuine interest and help you stand out during the interview.
✨Be Ready for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially in statistical contexts. Practise articulating your thought process clearly, as this will demonstrate your analytical skills and how you tackle challenges in innovative tech environments.
