Data Science Lead
Quick Summary
adstock and saturation modelling, channel contribution, and budget allocation,
model versioning, monitoring, automated retraining Understanding of data engineering fundamentals and cloud platforms Nice to have Hands-on experience building Marketing Mix Models end to end,
Flo is the world’s #1 health & fitness app worldwide 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 7M 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.
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.
Responsibilities
~1 min read- →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
Nice to Have
~1 min read- 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
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.
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
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.
Location & Eligibility
Listing Details
- Posted
- July 9, 2026
- First seen
- July 9, 2026
- Last seen
- July 10, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- July 9, 2026
Signal breakdown
Please let Flohealth know you found this job on Jobera.
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