Data Science Lead
HybridLondon, England, United Kingdom
Job Summary
Lead and develop a team of 6+ ML and Backend engineers while owning the strategy, development, and continuous improvement of Flo's predictive lifetime value (pLTV) system. Stand up a Marketing Mix Modeling capability to measure cross-channel effectiveness and inform budget allocation, then develop algorithms to drive real-time user acquisition campaign management. Build production ML systems handling millions of daily predictions and partner with Growth, Product, and Finance to translate business problems into ML solutions. Shape technical architecture for MLOps infrastructure and rapid iteration cycles, staying hands-on as needed for modeling and architecture decisions. This role reports to the Data Science Lead in London, focusing on pioneering ML models that power user acquisition strategy and optimize the $25M+ annual marketing spend.
Required Qualifications
- 7+ years applied ML experience building and deploying models in production
- 4+ years managing technical teams (ML engineers, data scientists, or similar)
- Expert knowledge of ML fundamentals: supervised/unsupervised learning, time series; strong grounding in causal inference
- Experience with modern ML frameworks (TensorFlow, scikit-learn, CatBoost)
- Experience with growth analytics, attribution modeling, or marketing effectiveness
- Understanding of user acquisition funnels and retention optimization
- Comfortable translating business requirements into technical roadmaps
- Strong communication skills - can explain complex models to executive stakeholders
- Experience deploying ML models at scale
- Knowledge of MLOps practices: model versioning, monitoring, automated retraining
- Understanding of data engineering fundamentals and cloud platforms
Desired Qualifications
- Hands-on experience building Marketing Mix Models end to end, Bayesian or regression based
- Background in consumer tech, mobile apps, or health tech
- Knowledge of privacy-preserving ML techniques and A/B testing methodology
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