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- Tasks: Design computational maths problems to evaluate AI systems and contribute to exciting projects.
- Company: Mindrift, a forward-thinking company at the intersection of mathematics and technology.
- Benefits: Earn up to $35 per hour, flexible hours, and work on innovative projects.
- Other info: Part-time role requiring 10-20 hours per week during project phases.
- Why this job: Combine your passion for maths and Python while making a real impact in AI development.
- Qualifications: Degree in Mathematics, experience with Python, and strong written English skills.
The predicted salary is between 28 - 35 £ per hour.
Mindrift is seeking mathematicians for part-time, project-based roles that involve designing computational mathematics problems to evaluate AI systems.
Contributors will need a degree in Mathematics and experience with Python and numerical methods. Strong written English skills are essential, and tasks are estimated to require 10-20 hours per week during active phases of projects. Compensation can reach up to $35 per hour depending on contribution level.
Mathematics & Python Problem Designer (Part‐Time) in London employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mathematics & Python Problem Designer (Part‐Time) in London
✨Tip Number 1
Network like a pro! Reach out to fellow mathematicians or Python enthusiasts on platforms like LinkedIn. You never know who might have the inside scoop on opportunities at Mindrift.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best computational mathematics problems and Python projects. This will give you an edge when applying for that part-time role.
✨Tip Number 3
Prepare for interviews by brushing up on your numerical methods and problem design techniques. Be ready to discuss how you can contribute to evaluating AI systems effectively.
✨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 take the initiative!
We think you need these skills to ace Mathematics & Python Problem Designer (Part‐Time) in London
Some tips for your application 🫡
Show Off Your Maths Skills: Make sure to highlight your degree in Mathematics and any relevant experience you have with Python and numerical methods. We want to see how your skills can contribute to designing those computational problems!
Write Clearly and Concisely: Since strong written English skills are essential, take the time to craft your application carefully. We appreciate clarity and precision, so avoid jargon and keep it straightforward.
Tailor Your Application: Don’t just send a generic application! We love seeing how your unique experiences align with our needs. Mention specific projects or roles that relate to the job description to make your application stand out.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Mindrift
✨Know Your Maths and Python
Brush up on your mathematics concepts and Python skills before the interview. Be ready to discuss specific numerical methods you've used in past projects, as well as how you approach problem-solving in computational mathematics.
✨Showcase Your Writing Skills
Since strong written English skills are essential, prepare to demonstrate your ability to communicate complex ideas clearly. Consider bringing examples of your written work or explaining how you would document a mathematical problem for an AI system.
✨Understand the Role and Company
Research Mindrift and their projects to understand their focus and values. This will help you tailor your answers and show that you're genuinely interested in contributing to their goals.
✨Prepare for Problem-Solving Questions
Expect to tackle some practical problems during the interview. Practice solving computational maths problems and be ready to explain your thought process. This will showcase your analytical skills and how you apply your knowledge in real-world scenarios.