Engineering Manager - Data Science Team
Posted on November 23, 2025 (about 2 hours ago)
Job Description
Flo is the world’s #1 health & fitness app worldwide focused on female health. With 500M+ downloads and 77M+ monthly users, it's built a decade-long trusted platform. Flo is backed by a $200M investment and achieved a $1B valuation in 2024.
The role of Engineering Manager - Data Science Team is based in London. The position involves leading the Predictive Growth Optimisation team, focusing on ML models that power user acquisition, predict lifetime value, and optimize $25M+ annual marketing spend.
This role oversees the strategy, development, and continuous improvement of Flo's predictive lifetime value system (pLTV), essential for user acquisition, AdTech, personalization, and financial forecasting. The manager balances hands-on technical leadership and people management while building impactful production systems.
What you'll do
Lead and develop a team of 4+ ML and Backend engineers, including hiring, mentoring, and setting technical direction.
Own and evolve the core predictive lifetime value models guiding millions in user acquisition decisions.
Build production ML systems, including MMM algorithms and real-time forecasting models handling millions of daily predictions.
Drive cross-functional impact by partnering with Growth, Product, and Finance teams to translate business problems into ML solutions.
Shape technical architecture focusing on MLOps infrastructure, monitoring, and iteration cycles.
Stay hands-on with modeling, architecture decisions, and technical problem-solving as needed.
What you bring
Technical Leadership:
- 7+ years of applied machine learning experience building and deploying models in production
- 4+ years managing technical teams of ML engineers or data scientists
- Expert knowledge in ML fundamentals including supervised/unsupervised learning, time series, and causal inference
- Experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, and CatBoost
Growth & Product Experience:
- Experience with growth analytics, attribution modeling, or marketing effectiveness
- Understanding of user acquisition funnels and retention optimization
- Ability to translate business requirements into technical roadmaps
- Strong communication skills for explaining complex models to executives
Production ML Systems:
- Experience deploying ML models at scale with millions+ predictions per day
- Knowledge of MLOps practices like model versioning, monitoring, and automated retraining
- Understanding of data engineering fundamentals and cloud platforms
Nice to have:
- Experience with Marketing Mix Modeling, attribution, or ad tech
- Background in consumer tech, mobile apps, or health tech
- Knowledge of privacy-preserving ML techniques and A/B testing methodology
How we work and benefits
Flo is a mission-led, product-driven team that moves fast, takes ownership, and values craft and impact. The team embraces diversity and inclusion and supports employee growth and wellbeing.
- Competitive salary and annual reviews
- Performance incentive scheme participation
- Paid holiday, sick leave, female health leave
- Enhanced parental leave for all parents
- Accelerated professional growth opportunities
- Flexible office and home working with some time abroad
- 5-week fully paid sabbatical at 5-year milestone
- Health, pension, and wellbeing perks including Flo Premium for family and friends
Flo is an equal opportunity employer, hiring based on merit and skill, welcoming diverse applicants.
How to Apply
Please apply via the Greenhouse job board page for this position. Ensure you fill out all required fields and provide a resume/CV. You will be asked about your eligibility to work in the UK and willingness to travel to the London office twice a week. Consent to the privacy notice for job applicants is required.
The application also includes voluntary self-identification surveys on gender, ethnicity, veteran status, and disability status, which are confidential and not considered in the hiring process.
For details, see Flo Health’s privacy notice for job applicants: https://flo.health/privacy-policy-for-job-applicants