Remote Data Scientist

Summary

Join our team at Moneyhub, a data and payments company on a mission to improve financial wellness. We're looking for a Data Scientist with experience in Python and SQL to work on machine learning-based transaction categorization, product development, and user analysis.

Requirements

• Have 3 or more years of experience as a Data Scientist
• Be fluent writing code in Python and queries in SQL
• Understand a wide range of classification/regression algorithms and have applied them using libraries such as scikit-learn
• Have implemented regression analysis and understand how to interpret the results
• Be able to take raw data sets and build narratives around insights you discover
• Be comfortable using a variety of approaches to present results in a way a non-technical audience can understand and act on
• Appreciate the importance of data cleaning and have previously applied a range of approaches to achieve this
• Have a bachelor's or master’s degree in a numerical or engineering subject such as Data Science, Mathematics or Computer Science

Responsibilities

• Work on the Machine Learning based transaction categorisation engine that underpins the budgeting capabilities of the app and affordability checking
• Data Science oriented product development: identifying improvements to existing algorithms, or the creation of new products using a quantitative approach
• Analysis of the characteristics of the user base, i.e. user segmentation, to support business decisions

Benefits

• Remote working with quarterly away days and regular team meetings
• 10% contribution towards your Pension from your very first day with us
• 25 days of holiday (plus bank hols), rising to 30 days after two years
• Private medical insurance, including cover for pre-existing conditions, plus dental and optical benefit
• Six week Moneyhubber Family Pay when you become a new parent
• Permanent health insurance and life cover - much greater than the industry standard (death in service)
• Employee assistance programme
• Professional development support, with dedicated allowance of time and money
• Life event leave
• Cycle to work scheme
• EV Salary sacrifice scheme
• $750 towards professional memberships
• Remote working benefits, including work from almost anywhere, access to co-working spaces and support for your home office set-up
• High spec laptop