Data Science Lead, Growth & pLTV Optimization in London

Data Science Lead, Growth & pLTV Optimization in London

London Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Flohealth

At a Glance

  • Tasks: Lead a team to develop ML models for user acquisition and lifetime value prediction.
  • Company: Flo, a dynamic company in London focused on growth and innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional development.
  • Other info: Join a collaborative environment with excellent career advancement potential.
  • Why this job: Make a real impact on marketing strategies and user growth with cutting-edge data science.
  • Qualifications: Experience in data science, machine learning, and team leadership required.

The predicted salary is between 70000 - 90000 £ per year.

Flo in London is seeking a Data Science Lead to build and lead the Predictive Growth Optimisation team, developing ML models that power user acquisition, predict lifetime value, and optimise a multi‑million dollar annual marketing spend.

You will own the p LTV strategy, stand up an MMM capability, and develop real-time UA management.

Lead a team delivering production ML systems and close alignment with Growth, Product and Finance.

#J-18808-Ljbffr

Data Science Lead, Growth & pLTV Optimization in London employer: Flohealth

Flo is an exceptional employer, offering a dynamic and mission-driven work environment where innovation thrives. With a strong focus on employee growth, competitive salaries, and generous benefits including enhanced parental leave and a fully paid sabbatical, we empower our team to make a meaningful impact in female health. Our collaborative culture encourages open debate and shared decision-making, ensuring that every voice is heard as we work together towards better health outcomes.

Flohealth

Contact Details:

Flohealth Recruitment Team

We think you need these skills to ace Data Science Lead, Growth & pLTV Optimization in London

Communication Skills
Problem-Solving Skills
SQL
Python
Data Engineering
ETL/ELT Processes
Data Pipeline Development