Discover the best workouts around. Search gyms and studios near you, book a spot and get moving.

Join our quickly-growing team and you’ll have an incredible opportunity to build a career with a high-growth startup while empowering others to reach their fitness goals.

Companies can also give their employees access to our global network of fitness studios and gyms with one membership, while increasing engagement, retention and saving on healthcare costs. Find out more about our new Corporate Wellness Program here: corp.classpass.com.

ClassPass

We're revolutionizing the fitness & wellness industry, and we’re looking for talented people to help us do it. Mindbody + ClassPass bring together the best of both sides of the market: Mindbody is the industry’s most trusted all-in-one technology platform; ClassPass is one of the most popular apps for fitness & self-care enthusiasts. Together we’re partnering with more than 70,000 fitness studios, gyms, salons, and spas around the world. We’re not just another tech company—we’re far and away the leader of our industry. So join the team, work with mission-led people, and enjoy amazing benefits. Let’s see what we can accomplish together!

Who we are

A career at ClassPass is an opportunity for you to join a rapidly growing company committed to helping over 1 million users across 30 countries reach their wellness goals. We have an exciting opportunity for an insightful and persuasive Data Scientist to work on the Pricing & Inventory team, which manages the two-sided marketplace between our users and our wellness partners and leads on testing new pricing and supply acquisition/retention strategies. This role builds models that drive strategic initiatives, supports consumer programs, creates dashboards to evangelize insights, and works cross-functionally to empower stakeholders with data.

The right candidate should thrive in an agile and growth-oriented environment.

Successful candidates will be strong individual contributors, comfortable with test design and execution, and possess an intense curiosity about marketplace dynamics. They should be able to distill complex ideas to stakeholders of all levels of technical fluency.

Your role

In This Position You Will Work With

Engineer prediction models for user retention Optimize anomaly detection models for early reporting of escalations and fraud Productize clustering algorithms for user segmentation Run A/B experiments to continue optimizing the business Automate reporting and insights for business partners to increase engagement Design dashboards for internal stakeholders Collaborate with Product/Engineering to productionize data flows that power user-facing products and services Collaborate with Marketing on targeting segmentation and lifecycle drip campaigns Collaborate with Analytics and BI to maintain data fidelity across various data warehouses 

About The Right Team Member

Based in the UK3+ years experience as a data scientist building machine learning models for business application Degree in a quantitative field (Economics, Finance, Mathematics, Engineering) Strong knowledge of statistics and machine learning Experience with A/B testing Fluency in SQL and Python Experience in DTC and/or Subscription business models Exposure to engineering best practices Superb communication skills, in speech and in writing Good organizational skills Deep sense of intellectual curiosity Understanding of AWS services such as S3, Athena, RDS, IAM, ECS, and EMR Entrepreneurial spirit; comfort with ambiguity and a fast-paced work environment Strong business acumen; can consider higher-level business context and thinking while still approaching analytical problems with technical precision and data-mindedness Knowledge and/or experience with BI tools (Tableau, Looker preferred) 

Have we piqued your curiosity?

Sound like the role for you? We’d love to hear from you! Even if you’re not 100% sure about potential fit, we still encourage you to apply. We’re looking for the right person, not the perfect series of checkboxes.

Mindbody is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.

Remote Data Scientist Job in UK ClassPass

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