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Data Science Lead

London💼 Full-time🗓 2026-07-09 → 2026-08-01

Core

Lead a team to build and optimize production ML models for user acquisition strategy, predicting lifetime value, and managing $25M+ annual marketing spend.

Role type

Senior IC Data Science Lead (Growth & ML)

Builds

Production ML systems for predictive lifetime value (pLTV), Marketing Mix Modeling (MMM), and real-time UA campaign optimization.

Domain

Digital health / Mobile apps / Growth marketing

Deliverable

production ML models

Required skills

ML fundamentals (supervised/unsupervised learning, time series, causal inference), team leadership (7+ years), modern ML frameworks (TensorFlow, scikit-learn, CatBoost), growth analytics, MLOps practices, cloud platforms

Preferred skills

End-to-end Marketing Mix Modeling (Bayesian/regression), consumer tech/mobile app background, privacy-preserving ML, A/B testing methodology

Technologies

TensorFlow, scikit-learn, CatBoost

Responsibilities

Lead and develop a team of 6+ ML and Backend engineers; Own pLTV strategy and architect predictive models; Stand up Marketing Mix Modeling capability; Develop algorithms for real-time UA campaign management; Build production ML systems handling millions of daily predictions; Drive cross-functional impact with Growth, Product, and Finance; Shape technical architecture and MLOps infrastructure.

Seniority

Senior, hands-on IC with management responsibilities

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