My client is a market-leader in machine learning and predictive technology. What sets them apart from their competitors is that their predictive machine focuses on causality, and is capable of applying time-series data from a vast range of industries, rather than just one. In turn they are capable of providing accurate predictions for a variety of clients.
Their clients include tier 1 investment banks, leading hedge funds and one of Europe's biggest logistics companies - predicting outputs such as oil prices, mortgage rates, energy consumption, and even the spread of disease.
Data Scientists are split into two paths, depending on your experience and career aspirations: Commercial where you will be working with clients to tailor the predictive machine to their specific needs; and Research where you will work purely in-house to develop new models.
Both teams provide the opportunity to work with an incredibly smart team of individuals who simply love to solve tough problems.
If you would like to take a look at both job specs just let me know!
Strong academic record - PhD or Master's in ML/Maths/Stats etc. - from a leading university
Creative mind and ability to come up with new ideas to solve complex problems
Experience publishing journals is also highly sought-after
Excellent written and verbal communication skills
Competitive salary + share options
Budget for personal development to attend conferences, courses, buy books, etc.
Choice of laptop
Flexible hours and WFH opportunities
Regular team socials and trips away
Contact If you would like more details, including the two slightly different job specs, please contact:
Sam Forrest email@example.com linkedin.com/in/spforrest