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- Tasks: Develop innovative AI applications and mathematical models in a hybrid team.
- Company: Join GSMA, a leader in AI and mathematics innovation.
- Benefits: Enjoy competitive pay, flexible working, and great career growth.
- Other info: Be part of a diverse team with extensive expertise.
- Why this job: Make a real impact in AI while collaborating with experts.
- Qualifications: Master’s or doctorate in mathematics and programming skills required.
The predicted salary is between 60000 - 80000 £ per year.
GSMA in Greater London is looking for a candidate to work on innovative AI applications in a hybrid team environment. You will develop mathematical models and algorithms and utilize AI tools in your research. The ideal candidate should have a Master’s or doctorate in mathematics along with programming skills. You will contribute to foundational work involving complex AI systems and join a diverse team with extensive expertise in applied mathematics. Competitive benefits and flexible working arrangements are offered.
Applied AI & Mathematics Engineer – Hybrid (London) employer: GSMA
Contact Detail:
GSMA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI & Mathematics Engineer – Hybrid (London)
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and mathematics fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your passion.
✨Tip Number 2
Prepare for those interviews! Brush up on your mathematical models and algorithms, and be ready to discuss how you've applied them in real-world scenarios. Practice common interview questions related to AI applications.
✨Tip Number 3
Showcase your projects! If you’ve worked on any innovative AI applications or complex systems, make sure to highlight them in your conversations. Bring along a portfolio or a GitHub link to demonstrate your skills.
✨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 that extra step to connect with us directly.
We think you need these skills to ace Applied AI & Mathematics Engineer – Hybrid (London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your mathematical prowess and programming skills in your application. We want to see how your background aligns with the innovative AI applications we’re working on!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Applied AI & Mathematics Engineer role. We love seeing candidates who take the time to connect their experience with what we do.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
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 in our hybrid team!
How to prepare for a job interview at GSMA
✨Know Your Maths Inside Out
Make sure you brush up on your mathematical models and algorithms. Be prepared to discuss specific examples from your past work or studies where you've applied these concepts, as this will show your depth of knowledge and practical experience.
✨Show Off Your AI Skills
Familiarise yourself with the latest AI tools and applications relevant to the role. Be ready to talk about any projects you've worked on that involved AI, and how you utilised programming skills to solve complex problems.
✨Understand the Company’s Vision
Research GSMA and their current projects in AI. Understanding their goals and how your role fits into their vision will help you tailor your answers and demonstrate your genuine interest in contributing to their innovative work.
✨Prepare for Team Dynamics
Since you'll be joining a diverse team, think about how you can contribute to a collaborative environment. Be ready to share experiences where you've successfully worked in teams, especially in hybrid settings, and how you handle different perspectives.