Lead Data Scientist

Angel, London, UK Req #12578
10 May 2024

The purpose

We are a value business, focused on making gyms and fitness accessible to as many people as possible. Data is at the heart of how we run our business, starting from where to open our gyms, through what we offer within them through to how we engage with past, current, and future members. Combining the data from our over 2 million members with data about locations, operations, and performance allows us to unlock industry leading insights and drive a better member experience and commercial performance.

Data is a core competitive advantage to use as market leader, helping us guide decisions at scale and personalisation at the member level. To unlock the value of data, PureGym has built a Group Insights & Analytics function, comprised of a Data Science team, a Data Engineering team and an Insights team, recognising the importance of close collaboration of data teams to quickly and efficiently deliver business value.

Our cloud-based technology stack builds on Azure Databricks to ensure we can quickly and easily access data, undertake analytics, and develop and deploy Data Science model. To date we have used this infrastructure to successfully apply Data Science to areas including pricing, churn prevention, group exercise offering, and site selection. We believe in an experimentation focused approach to problem solving, aiming to quickly going from ideas to actually testing solutions with members and gyms and then scale proven solutions across the business and geographies.

PureGym currently operates a fully variable pricing approach, pricing every site and product available at that site based on a wide range of data points. We also overlay pricing strategies for existing members to ensure sites deliver strong return on investment whilst managing capacity constraints and other operational constraints. Whilst this process already is at the forefront of the fitness industry, using data, analytics and data science to inform it’s decision making, we recognise the opportunity to significantly accelerate this and are looking for the right candidate come in deliver a truly industry leading pricing capability.

The role

Working in a small but driven Data Science team with a proven track record of deploying solutions and delivering business value, the role in critical in advancing PureGym’s use of Data Science, primarily focused within the pricing, but supporting the wider team across the full Data Science remit.

The role reports into the Group Head of Insights & Analytics and sits along and works closely with senior members of the Insights and Data Engineering forming the wider Insights & Analytics function.

Whilst the core remit of the role is to accelerate PureGym’s pricing capability across the group, there is also the opportunity and requirement to be involved in wider Data Science deliverables. As a result the main responsibilities of the role are:

  • Own the use of analytics and Data Science to deliver industry leading gym pricing across our operating geographies
  • Design, deliver and productionise data driven pricing solutions in close collaboration with the Revenue Management team
  • Present solutions and impact to a wide range of business stakeholders, including C-suite, functional leaders as well as non-technical counterparts
  • Explore further uses of PureGym’s data asset to create business value through Data Science
  • Be responsible for the application of ML and MLOps best practices across our Data Science use cases
  • Engage with the wider Data community to ensure PureGym leverages the right tools and techniques
  • Mange and mentor junior team members, supporting them in their development and
  • Contributing to the strategy and vision of the overarching Insights & Analytics function


The person

  • 5+ years’ Data Science Experience, with experience delivering projects through to deployment
  • Experience working in B2C, ideally variable pricing
  • Experience developing and deploying pricing analytics
  • Comfortable working within Databricks or similar data platform
  • Python and SQL experience, as well as ideally R experience
  • Experience managing and mentoring junior team members and setting them up to work independently
  • Desire to work closely with business stakeholders and see work delivering real world impact
  • Positive, problem solving, entrepreneurial
  • A continual improvement mindset with a passion for delivering great outcomes


The Benefits

  • Gym membership for you + 1
  • Hybrid working
  • A truly flexible working culture
  • Personal private healthcare
  • Life insurance
  • Company pension contribution
  • Holiday purchase scheme up to an additional week.
  • Great Learning & Development Resources
  • Enhanced maternity pay


#LI-AS1 and #IndeedHP

Join us on our mission to inspire a healthier nation.

Other details

  • Pay Type Salary
Location on Google Maps
  • Angel, London, UK