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- Tasks: Design computational maths problems for AI testing using Python.
- Company: Mindrift, a forward-thinking tech company based in Glasgow.
- Benefits: Earn $35 per hour with flexible part-time hours.
- Other info: Exciting opportunity to work on innovative projects in a dynamic environment.
- Why this job: Join a team shaping the future of AI with your maths skills.
- Qualifications: Strong maths degree, Python proficiency, and 2+ years experience required.
The predicted salary is between 28000 - 35000 £ per year.
Mindrift, based in Glasgow, is looking for mathematicians to design computational mathematics problems for AI testing and evaluation. The role requires a strong degree in mathematics and proficiency in Python, as well as 2+ years of experience.
Contributors are expected to create Python-based solutions and must have experience with numerical methods. This part-time opportunity offers $35 per hour based on contributions and project requirements.
Part-time Computational Math & Python Designer in Glasgow employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Part-time Computational Math & Python Designer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to fellow mathematicians and Python enthusiasts on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings at Mindrift or similar companies.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your computational math projects and Python solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on numerical methods and Python coding challenges. Practising common interview questions can help us feel more confident and ready to impress.
✨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 to connect directly with us.
We think you need these skills to ace Part-time Computational Math & Python Designer in Glasgow
Some tips for your application 🫡
Show Off Your Maths Skills: Make sure to highlight your strong degree in mathematics and any relevant experience you have. We want to see how your background aligns with the computational problems you'll be designing!
Python Proficiency is Key: Since this role requires Python expertise, don’t forget to mention your proficiency and any projects you've worked on. Share examples of Python-based solutions you've created to really impress us!
Experience Matters: With a requirement of 2+ years of experience, be sure to detail your past roles and contributions. We’re looking for specific instances where you’ve applied numerical methods in your work.
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!
How to prepare for a job interview at Mindrift
✨Brush Up on Your Maths Skills
Make sure you're well-versed in computational mathematics concepts. Review key topics and be ready to discuss how you've applied them in your previous work. This will show your depth of knowledge and confidence in the subject.
✨Show Off Your Python Proficiency
Prepare to demonstrate your Python skills during the interview. Have examples ready of projects where you've used Python for numerical methods. If possible, bring along code snippets or even a small project to showcase your abilities.
✨Understand the Role and Company
Research Mindrift and their approach to AI testing and evaluation. Familiarise yourself with their projects and values. This will help you tailor your answers and show that you're genuinely interested in contributing to their goals.
✨Prepare Thoughtful Questions
Think of insightful questions to ask your interviewers about the role and the team. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you. Ask about their current projects or challenges they face in computational maths.