Product Data Scientist

Harnham ,
London, Greater London
Job Type: Full-time
Salary: £65,000 per annum

Overview

Product Data Scientist London £65,000 - £70,000 Currently remote working / flexible working is offered with the view to being full-time from the office with working from home options / flexible working THE COMPANY Harnham have been exclusively retained by one of the UK's most exciting fintech companies who are currently scaling their market-leading product in the finance space. They are looking for a range of hires in the data and analytics space, including Data Scientists, machine learning scientists, product experts and data engineers. They've achieved tremendous success and are now investing heavily in building out their London office; this role will be one of many key hires to help shape their future and improve their core range of products. THE ROLE As the Product Data Scientist you will be: Joining a growing team responsible for introducing data science and machine learning insights to their products Experimenting with data and exploring new opportunities for the company Focusing on helping the business achieve growth and ROI Getting stuck in to many different problems faced by the business SKILLS AND EXPERTISE To be considered for this position you must have the following: An excellent academic degree from a top university (BSc or MSc in a quantitative discipline) Hands-on programming experience with Python and SQL Experience of working within a product-focused role Any experience of working within a scalable start-up is appreciated BENEFITS As the Product Data Scientist, you could earn up to £80,000 benefits (including options) HOW TO APPLY To be considered for this opportunity, please submit your details using the Apply button on this page. For more information about similar positions please contact Nick Mandella at Harnham. KEYWORDS Python, SQL, data science, data scientist, tech, fintech, product, experimentation, finance, financial services, London, machine learning, working from home, flexible working options, remote working.