At a Glance
- Tasks: Develop innovative AI tools for investment analysis and integrate diverse data sources.
- Company: Pioneering AI startup at the forefront of finance and technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic work environment with endless opportunities for innovation.
- Why this job: Join a fast-growing team and make a real impact in the world of alternative assets.
- Qualifications: Strong programming skills in Python and experience with machine learning models.
The predicted salary is between 30000 - 40000 £ per year.
A pioneering AI startup is seeking an Applied AI & Data Scientist to develop cutting-edge investment analysis tools. This role focuses on designing AI systems that integrate diverse data sources into a transformative platform for alternative assets. The ideal candidate has strong programming skills in Python, experience with machine learning models, and a relevant degree. Join a fast-growing company at the intersection of finance and technology, where innovation meets practical application.
Junior AI & Data Scientist — Investment Intelligence in London employer: TomNext
Contact Detail:
TomNext Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior AI & Data Scientist — Investment Intelligence in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. 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 projects, especially those involving Python and machine learning. 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 your technical knowledge and practising common interview questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Junior AI & Data Scientist — Investment Intelligence in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any experience you have with machine learning models. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your experience can contribute to developing investment analysis tools and integrating diverse data sources. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant. Make it easy for us to see why you’re a great fit!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at TomNext
✨Know Your AI and Data Science Basics
Make sure you brush up on your knowledge of AI concepts and data science principles. Be ready to discuss your experience with machine learning models and how you've applied them in real-world scenarios. This will show that you’re not just familiar with the theory but can also implement it practically.
✨Showcase Your Programming Skills
Since strong programming skills in Python are a must, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your thought process behind a previous project. Practising coding challenges beforehand can really help you shine.
✨Understand the Investment Landscape
Familiarise yourself with the investment intelligence sector and the types of alternative assets the company focuses on. Being able to discuss current trends and how AI can transform investment analysis will set you apart from other candidates.
✨Prepare Questions for Them
Interviews are a two-way street, so think of insightful questions to ask about the company's vision, the team you'll be working with, and the tools they use. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.