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- Tasks: Design challenging computational problems using your maths and Python skills.
- Company: Leading AI solutions provider in Greater London.
- Benefits: Earn up to $35 per hour with flexible 10-20 hours a week.
- Why this job: Make an impact in AI by solving real research challenges.
- Qualifications: Degree in Mathematics, Python proficiency, and 2 years of experience.
- Other info: Great opportunity for growth in a dynamic tech environment.
The predicted salary is between 28000 - 35000 £ per year.
A prominent AI solutions provider in Greater London is offering a unique opportunity for individuals skilled in mathematics and programming. The role focuses on designing challenging computational problems that reflect real research scenarios, requiring a degree in Mathematics and proficiency in Python.
With an expected workload of 10-20 hours a week, compensation is up to $35 per hour based on contribution level. Ideal candidates will have at least 2 years of experience, strong written English skills, and familiarity with numerical methods.
Computational Math & Python Problem Designer employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Math & Python Problem Designer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and maths community on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best computational problems and Python projects. 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 common questions related to computational maths and Python. Practice explaining your thought process clearly, as strong communication is key in this role.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application and showcase your skills directly to us. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Computational Math & Python Problem Designer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in mathematics and Python programming. We want to see how you've tackled complex problems in the past, so don’t hold back on sharing specific examples!
Tailor Your Application: Take a moment to customise your application for this role. Use the job description as a guide and align your skills and experiences with what we’re looking for. It shows us you’re genuinely interested!
Keep It Clear and Concise: Strong written English skills are a must, so make sure your application is easy to read. We appreciate clarity, so avoid jargon and keep your sentences straightforward. Less is often more!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Mindrift
✨Brush Up on Your Maths and Python Skills
Before the interview, make sure you're comfortable with key mathematical concepts and Python programming. Review numerical methods and be ready to discuss how you've applied them in past projects. This will show your expertise and confidence in the subject matter.
✨Prepare Real-World Problem Scenarios
Think of examples where you've designed computational problems or tackled complex mathematical challenges. Be prepared to explain your thought process and the impact of your solutions. This will demonstrate your ability to create relevant problems that reflect real research scenarios.
✨Showcase Your Communication Skills
Since strong written English skills are a must, practice explaining complex ideas clearly and concisely. You might be asked to write or explain a problem during the interview, so being articulate will set you apart from other candidates.
✨Understand the Company’s Vision
Research the AI solutions provider and understand their mission and values. Tailor your answers to align with their goals, and express how your skills can contribute to their projects. This shows genuine interest and helps you stand out as a candidate who fits their culture.