Data Science Lead

Flo Health Inc.; London; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

A leading health app company is seeking a Data Science Lead in London to spearhead Predictive Growth Optimization efforts. This role involves overseeing ML teams, developing strategies to maximize user acquisition and optimizing a significant marketing budget. Ideal candidates will have extensive experience in machine learning and a proven record in team leadership.

Benefits

Competitive salary and annual reviews

Paid holiday, sick leave, and female health leave

Enhanced parental leave and pay

Flexible office + home working

5-week fully paid sabbatical at 5-year Floversary

Qualifications

• 7+ years applied ML experience with deploying models in production.
• 4+ years managing technical teams, focusing on ML engineers.
• Excellent understanding of ML fundamentals, especially time series and causal inference.

Responsibilities

• Lead a team of ML and Backend engineers, mentoring and setting direction.
• Own and develop the pLTV models to inform user acquisition strategies.
• Build production ML systems for real-time forecasting and daily predictions.

Skills

Machine Learning

Predictive Modeling

Team Leadership

Growth Analytics

Communication

Education

Master's or Doctoral degree in Computer Science or related field

Tools

PyTorch

TensorFlow

Scikit-learn

CatBoost

Job description

400M+ downloads. 75M+ monthly users. A decade of building – and we’re still accelerating.

Flo is the world’s #1 health app on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down.

With 6M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better.

The job

We're not chasing a product – market fit. We've found it. Flo is used by 1 in 4 women aged 18–44 in the US. Last year, $200M raised. Earlier this year: 8.6M new installs, 2.8M user jump. That kind of scale doesn't just happen. It's engineered – and increasingly, it's predicted.

That's where you come in.

We're hiring a Data Science Lead in London to build and lead our Predictive Growth Optimization 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, personalization, and financial forecasting. You'll balance hands-on technical leadership with people management, building production systems that directly impact our growth trajectory.

What you'll do

• Lead & develop a team of 4+ ML and Backend engineers - hiring, mentoring, and setting technical direction
• Own pLTV strategy - architect and evolve our core predictive lifetime value models that inform millions in UA decisions
• Build production ML systems - from MMM algorithms to real-time forecasting models handling millions of daily predictions
• Drive cross-functional impact - partner with Growth, Product, and Finance to translate business problems into ML solutions
• Shape technical architecture - guide MLOps infrastructure, monitoring, and rapid iteration cycles
• Stay hands-on - contribute to modeling, architecture decisions, and technical problem-solving as needed

What you bring

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, causal inference
• Experience with modern ML frameworks (PyTorch, TensorFlow, scikit-learn, CatBoost)

Growth & Product Experience

• 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 (millions+ predictions/day)
• Knowledge of MLOps practices: model versioning, monitoring, 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

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

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
• Flexible office + home working, up to 2 months a year working abroad
• 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

Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

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