Engineering Manager - Data Science for Growth & pLTV

Engineering Manager - Data Science for Growth & pLTV

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
Femtech Insider Ltd.

At a Glance

  • Tasks: Lead a team to develop ML models for user acquisition and marketing optimisation.
  • Company: Join Flo, a forward-thinking company in the heart of London.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving innovation in marketing analytics.
  • Why this job: Make a real impact by shaping data-driven strategies for user growth.
  • Qualifications: Experience in data science and leadership skills required.

The predicted salary is between 63000 - 77000 £ per year.

Flo is hiring a Data Science Lead in London to build and lead our Predictive Growth Optimisation team – pioneering ML models that power user acquisition, forecast lifetime value, and optimise our marketing spend.

This role owns the strategy, development, and continuous improvement of Flo’s p LTV system, and stands up a Marketing Mix Modeling capability to measure cross-channel effectiveness and inform budget allocation.

You’ll lead production ML systems and drive cross-functional impact.

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Engineering Manager - Data Science for Growth & pLTV employer: Femtech Insider Ltd.

Femtech Insider Ltd. is an exceptional employer, offering a vibrant work culture that prioritises innovation and quality in the pharmaceutical sector. Located in Cramlington, Northumberland, employees benefit from a supportive environment that fosters professional growth and development, alongside competitive remuneration and comprehensive benefits. Join us to be part of a team that values your expertise and encourages continuous improvement in a meaningful industry.

Femtech Insider Ltd.

Contact Details:

Femtech Insider Ltd. Recruitment Team

We think you need these skills to ace Engineering Manager - Data Science for Growth & pLTV

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