Why Ramp

Ramp is a fast growing UK SaaS startup, with founders who have successfully exited businesses in the past and worked on some of the worlds biggest brands, including Candy Crush, PokemonGO, Curve, Monzo to name a few.

Traditional revenue forecasting for businesses is broken. Ramp was built out of a pure frustration of using spreadsheets to manually forecast our businesses. Ramp is a SaaS platform that predicts the revenue of B2C companies, giving them the ability to plan better and make decisions in real-time.

Your Role

The Data Scientist role is responsible for improving the Ramp model and doing R&D on new features. You will work in an existing Data Science team. When new model features have passed accuracy bench marks, you will work with the engineering team to productionise the changes. You will have in depth workshops with your peers discussing different solutions to the problems at hand.

Ramp is a predictive analytics platform that gets a live feed from our clients which are global B2C companies. We allow companies to set strategy and scenario plan their future with our platform. Our cohort model is largely regression based currently, using specific business inputs to config individual models. ML is used to improve inputs into the cohort model.

Along with building an accurate model, we also have to solve for big data scale, handling both persistence and compute optimisation.

Responsibilities and Duties

  • Prototype new model features and improvements in Python
  • Expand and use our validation stack infrastructure for accuracy testing

Qualifications & Experience

  • Master degree in Engineering or Mathematical sciences related degree
  • At least 4 years experience
  • Proficient in Python

Skills & Characteristics

  • Proficient in Python and related data science libraries
  • Excellent verbal and communication skills
  • Desire to explore and dig to find solutions to unique problems.
  • Strong understanding of mathematical models out there and which ones are suited for which problems.
  • You would work well as a self-starter, who isn't micro-managed, happy with remote working

What you’ll receive

  • Competitive salary
  • Employee Share Scheme
  • Work from home perks
  • Opportunity to work on the latest technologies
  • A fun, engaging work environment with some of the best minds in the business