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- Tasks: Design data pipelines and apply AI to investment workflows in a dynamic team.
- Company: Leading investment firm with a focus on technology and innovation.
- Benefits: Gain hands-on experience, potential full-time role, and mentorship from industry experts.
- Other info: 10-week internship in London with excellent career growth opportunities.
- Why this job: Combine your passion for AI and finance while making a real impact.
- Qualifications: Strong academic background in quantitative fields and programming skills in Python and SQL.
The predicted salary is between 20000 - 30000 £ per year.
A leading investment firm is seeking a Postgraduate Technology Intern for a 10-week program in London to work on an AI-native data platform. The role involves designing data pipelines, collaborating with teams, and applying AI to investment workflows.
Ideal candidates will have a strong academic background in a quantitative field and programming skills in Python and SQL. This internship offers the possibility of a full-time role afterward, making it an excellent opportunity for individuals interested in finance and technology.
AI-Native Data Platform Engineer Internship London employer: Tower Peak Partners
Contact Detail:
Tower Peak Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Native Data Platform Engineer Internship London
✨Tip Number 1
Network like a pro! Reach out to current or former interns at the firm on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python and SQL skills. We recommend doing some mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 3
Showcase your passion for AI and finance in every conversation. We want to hear about your projects, coursework, or any relevant experience that highlights your enthusiasm and 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 the initiative to engage directly with us.
We think you need these skills to ace AI-Native Data Platform Engineer Internship London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and SQL. We want to see how you can apply these skills to real-world problems, especially in the context of AI and data pipelines.
Tailor Your CV: Don’t just send a generic CV! Tailor it to reflect your academic background and any relevant projects or experiences that align with the role. We love seeing how your unique journey fits into our vision.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about finance and technology, and how you see yourself contributing to our AI-native data platform. Let us know what excites you about this internship!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Tower Peak Partners
✨Know Your Tech
Brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, as well as any challenges you faced and how you overcame them.
✨Understand AI Applications
Familiarise yourself with how AI can be applied in investment workflows. Think of examples or case studies that demonstrate your understanding of AI's role in finance, and be prepared to share your insights during the interview.
✨Show Your Collaborative Spirit
This role involves working closely with teams, so highlight your teamwork experiences. Prepare examples of how you've successfully collaborated on projects, especially in a tech environment, to showcase your ability to work well with others.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI-native data platform and its future direction. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.