Banner Default Image
Back to job search

Senior Data Scientist

Senior Data Scientist | Central London with WFH | 60-80k

La Fosse are currently partnered with a fast-growing, venture-backed SaaS-enabled online marketplace and app that is rapidly reshaping the global health, beauty and wellness industry. They're transforming how customers find and book appointments with salons, gyms and spas around the world. Each month, tens of millions of customers and thousands of Partner businesses enjoy using the exciting tech platform across the globe.

They recently passed a big business milestone of having processed 300M+ appointments worth over $10B on the platform. they have just raised over $100M in venture capital funding from top-tier investors across New York, London, Paris, and Berlin, and are now looking to accelerate growth into future endeavours.

About the role

The Senior Data Scientist is a core part of the Analytics team. They seek people who will help drive the business forward and challenge norms by striving for more and helping accelerate analytics.

What you'll do

  • Work closely with product and user experience teams to help discover the art of the possible within their products when it comes to data science.

  • You will be experiment led, delivering proof of concepts with pace to be used by product teams to test, learn and generate new product ideas.

  • You will be responsible for ensuring the product teams have a firm understanding of the features and enhancements that could be applied by data science to their products, and what the steps are to realizing these ideas.

  • You will advise on the best way to store and prepare data for use by ML applications.

  • Support Product and Engineering team members with data requirements to drive the direction of new feature releases

  • Work with a team of highly skilled data scientists; supporting recruitment, skills assessment and mentoring to assist in their personal development.

What we're looking for

  • 5+ years of experience in data science and machine learning

  • Strong proficiency in SQL

  • Fluency in R, Python or Java

  • Familiar with APIs, data scraping and wrangling

  • Experience with at least one major data visualisation tool (preference for Sisense/Periscope Data or Looker)

  • Practical knowledge in applying machine learning techniques

  • Strong experience relevant to developing machine learning and statistical models for web applications

  • An understanding of the supporting statistics and mathematics

  • Strong experience in associated data preparations and data visualizations for building predictive models.

  • Application of semantic modelling, knowledge of extraction and knowledge representation

  • Experience developing production-grade, performant, scalable applications

  • Experience in helping teams with little practical experience in ML getting up to speed and productive

  • Strong written and oral communication skills, including comfort presenting findings at a leadership level

What we offer

  • A competitive salary

  • Flat organisation / management structure where everybody is empowered to have an impact within the company

  • The opportunity to work with incredible analysts and data scientists, with a company that produces millions of records of data every day

  • The opportunity to work on a global platform which is transforming a growing industry segment and have high impact within it

  • Flexible working hours if needed

  • A central office in Shoreditch, London (just 5 minute walk from the Liverpool St station)