At a Glance
- Tasks: Gain hands-on experience in systems development and UX design with AI and Machine Learning.
- Company: Exciting start-up environment based in Greater London, perfect for tech-savvy students.
- Benefits: Remote work flexibility, discretionary budget for expenses, and valuable industry experience.
- Other info: Collaborate closely with IT teams and enhance your skills in a supportive environment.
- Why this job: Join a dynamic team and make an impact in the world of AI and UX.
- Qualifications: Ideal for recent graduates or current students in technical fields.
The predicted salary is between 20000 - 30000 £ per year.
Internwise is offering a full-time internship based in Greater London, ideal for recent graduates or current students in technical fields. This role provides hands-on experience in systems development, working with AI and Machine Learning in a start-up environment.
Interns will collaborate closely with IT teams to gather and document business requirements, create use cases, and design UX structures. Additional perks include a discretionary budget for expenses and the flexibility of remote work.
Remote Systems & UX Discovery Intern (P2P/AI Payables) employer: Internwise
Internwise is an exceptional employer for those seeking to kickstart their careers in technology, particularly in the dynamic fields of AI and Machine Learning. With a supportive work culture that encourages collaboration and innovation, interns benefit from hands-on experience while enjoying the flexibility of remote work and a discretionary budget for expenses. This role not only offers valuable professional growth opportunities but also immerses you in a vibrant start-up environment in Greater London, making it an ideal choice for recent graduates and current students alike.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Systems & UX Discovery Intern (P2P/AI Payables)
✨Tip Number 1
Network like a pro! Reach out to professionals in the tech and UX fields on LinkedIn. A friendly message can go a long way, and you never know who might have an inside scoop on opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any relevant projects or coursework. This is your chance to demonstrate your hands-on experience with systems development and UX design.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and Machine Learning. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 Remote Systems & UX Discovery Intern (P2P/AI Payables)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that are relevant to the Systems & UX Discovery role. Highlight any projects or coursework related to AI, Machine Learning, or systems development to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this internship and how your background makes you a great fit. Be genuine and let your personality come through.
Showcase Your Technical Skills:Since this role involves working closely with IT teams, don’t forget to mention any technical skills you have. Whether it's programming languages, tools, or methodologies, we want to know what you bring to the table!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Internwise
✨Know Your Tech
Make sure you brush up on your technical knowledge, especially around systems development, AI, and Machine Learning. Familiarise yourself with the latest trends and tools in these areas, as it will show your genuine interest and readiness to contribute.
✨Showcase Your Collaboration Skills
Since this role involves working closely with IT teams, be prepared to discuss your past experiences in teamwork. Share specific examples of how you've successfully collaborated on projects, highlighting your communication skills and ability to gather and document requirements.
✨Prepare Use Cases
Before the interview, think about potential use cases relevant to the role. This could involve brainstorming scenarios where AI and Machine Learning can enhance user experience. Presenting these ideas will demonstrate your proactive thinking and understanding of UX design.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with thoughtful questions about the company culture, the team you'll be working with, and the specific projects you might be involved in. This shows your enthusiasm for the role and helps you gauge if it's the right fit for you.
