Flo Health - Data Science Lead
Requirements
• Technical Leadership • 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 • Production ML Systems • Experience deploying ML models at scale • Knowledge of MLOps practices: model versioning, monitoring, automated retraining • Understanding of data engineering fundamentals and cloud platforms • 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 • How we work • We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. • You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. • What you'll get • What you'll get • We support impact with meaningful reward. Here’s what that looks like: • Competitive salary and annual reviews • Opportunity to participate in Flo’s performance incentive scheme • Paid holiday, sick leave, and female health leave • Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents • Accelerated professional growth through world-changing work and learning support • In-person collaboration and work in a hybrid model, with 3 days per week spent in the office • 5-week fully paid sabbatical at 5-year Floversary • Flo Premium for friends & family, plus more health, pension and wellbeing perks • Diversity, equity and inclusion
Responsibilities
• We’re hiring a Data Science Lead in London to build and lead our Predictive Growth Optimisation team – pioneering ML models that power our user acquisition strategy, predict lifetime value, and optimise our $25M+ annual marketing spend across channels. • This role owns the strategy, development, and continuous improvement of Flo’s pLTV system - a mission-critical model reused across UA, AdTech, personalisation, and financial forecasting. That is the core of the role. Alongside it, you'll stand up a Marketing Mix Modeling (MMM) capability to measure cross-channel effectiveness and inform budget allocation, and develop the algorithms to drive real-time UA campaign management. You'll lead a team building production systems that directly impact our growth trajectory, staying as hands-on as you choose. • This role owns the strategy, development, and continuous improvement of Flo’s pLTV system • Lead & develop a team of 6+ ML and Backend engineers - hiring, mentoring, and setting technical direction • Lead & develop • Own pLTV strategy - architect and evolve our core predictive lifetime value models that inform millions in UA decisions • Own pLTV strategy • Stand up MMM - build our Marketing Mix Modeling capability: adstock and saturation modelling, channel contribution, and budget allocation, calibrated against our incrementality experiments • Stand up MMM • Power real-time campaign management - develop the algorithms that optimise our UA campaigns across channels in real time • Power real-time campaign management • Build production ML systems - from real-time prediction services handling millions of daily predictions to MMM models • Build production ML systems • Drive cross-functional impact - partner with Growth, Product, and Finance to translate business problems into ML solutions • Drive cross-functional impact • Shape technical architecture - guide MLOps infrastructure, monitoring, and rapid iteration cycles • Shape technical architecture • Stay as hands-on as you choose - modeling, architecture decisions, technical problem-solving; your call how deep you go. • Stay as hands-on as you choose
Benefits
• Opportunity to participate in Flo’s performance incentive scheme • Paid holiday, sick leave, and female health leave • Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents • Accelerated professional growth through world-changing work and learning support • In-person collaboration and work in a hybrid model, with 3 days per week spent in the office • 5-week fully paid sabbatical at 5-year Floversary • Flo Premium for friends & family, plus more health, pension and wellbeing perks • Diversity, equity and inclusion
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