At M·QUBE we are transforming one of the biggest financial markets in the U.K….the mortgage market.
Using innovative technology, data science and a relentless focus on user-experience, the M-Qube platform solves the most challenging problems faced by mortgage lenders, brokers and, of course, home buyers!
With significant financial backing from some of Europe’s leading venture funds, we are building a diverse team of individuals who share our passion for innovation and problem-solving.
If you’re motivated by working in a fast-paced environment and want to join our mission to transform the U.K. mortgage market, we’d love to hear from you!
Data-science is at the very heart of what we do. Using data analytics, AI and machine learning tools to re-invent processes that have historically been done manually is a central tenet of M·QUBE’s platform.
You will work collaboratively with our multi-disciplinary Product Team of data specialists, engineers and product managers on a wide-range of challenges.
The role presents an exciting opportunity to be part of a growing and dynamic team applying statistical methods and scientific rigour to product creation, iteration and user-centric design.
No one works for free! At M·QUBE we like to ensure our team feel well taken care of. This role comes with:
We don’t expect recent graduates to have extensive experience or a comprehensive knowledge of the various tools that we use. What we look for is a strong quantitative background, a willingness to learn, a passion for technology and a can-do attitude.
Nice to have (but not essential!)
You might not feel you’ve ticked every box, but if you think you could make a big difference to our business we’d nonetheless love to hear from you.
If you think you’d be a good fit and would like to learn more about M-Qube and the Graduate Data Scientist role, apply here.
Please send your CV to: email@example.com.
M·QUBE is an equal opportunity employer. We do not discriminate based on race, ethnicity, colour, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status.