Remote Data Scientist

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Moneyhub

πŸ“Remote - United Kingdom

Job highlights

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

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