Les Mills International Limited
HQ
Auckland, New Zealand
NZ Employees
500+
Industry
group fitness programs and digital fitness content
NZ Presence
Global headquarters in Auckland with 12 gyms operating nationwide through Les Mills NZ
AI Focus Areas
AI Maturity Evidence
Hiring Data Scientist and Head of Data Governance for Data, Analytics & AI team; using Snowflake and Google Cloud for data platform; publishing reports and articles discussing AI potential in fitness but emphasizing preference for human-led coaching over AI; no evidence of scaled production AI systems.
Transformation Opportunities
| Area | Opportunity | Impact | Complexity |
|---|---|---|---|
| Customer Lifecycle Management | Deploy predictive modeling and AI-driven segmentation for member retention, churn prediction, and personalized marketing campaigns | high | moderate |
| Digital Products | AI-powered workout personalization and recommendation engines integrated with LES MILLS+ app, using user data from wearables | high | complex |
| Operations | AI-optimized class scheduling and instructor matching based on demand forecasting and performance data | medium | moderate |
| Marketing | Generative AI for content creation and A/B testing of campaigns targeting clubs and end-users | medium | simple |
Decision Makers
Phillip Mills
Founder & Managing Director
Overall company leader driving strategic direction including digital transformation
Amber Taylor
Chief Digital Product Officer
Oversees digital products and solutions; 20+ years in tech; key for AI in fitness apps and personalization
Sally Berlin
Chief Technology Officer
Leads technology strategy; data/AI team likely reports into tech org
Tech Stack Signals
Competitive Landscape
Competitors like Peloton and Beachbody are advancing AI for personalized coaching, VR workouts, and data-driven apps; Les Mills emphasizes human connection but faces pressure to integrate AI for personalization and retention to stay competitive in digital fitness.
AIA Fit Assessment
- --NZ-headquartered with strong local presence
- --Experimenting AI maturity with active hiring in Data & AI team
- --Medium budget signals from revenue and tech investments
- --Clear opportunities in customer analytics and digital personalization
- --Accessible digital/tech leaders
Hiring Signals
Total Roles
2
Remote
No
Levels
mid-senior
Skills Sought
Company Timeline
First tracked via Data Scientist job listing
Additional data roles identified; AI team expansion
Engagement Angle
With your recent Data Scientist hire signaling a push into AI for customer lifecycle management, AIA can accelerate production-ready models to predict churn and personalize workouts - turning data into $500K+ retention revenue.
Recommended AIA Service
Data Platform Build