Data Science Lead

Data Science Lead

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Flo Health

At a Glance

  • Tasks: Lead a talented team in developing and deploying cutting-edge machine learning models.
  • Company: Join Flo, the world’s #1 health app with over 80M monthly users.
  • Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a fast-paced environment with endless growth potential.
  • Why this job: Make a real impact in health tech while leading innovative projects.
  • Qualifications: 7+ years in applied ML and 4+ years managing technical teams required.

The predicted salary is between 70000 - 90000 £ per year.

500M+ downloads. 80M+ monthly users.

A decade of building – and we’re still accelerating.

Flo is the world’s #1 health your call how deep you go.

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; strong grounding in causal inference Experience with modern ML frameworks (Tensor Flow, scikit-learn, Cat Boost) Growth

Data Science Lead employer: Flo Health

At Flo, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. With a focus on employee growth, we provide ample opportunities for professional development and advancement in the rapidly evolving field of data science. Located in a dynamic environment, our team enjoys the unique advantage of working on impactful projects that reach millions, all while being part of a supportive community dedicated to health and wellness.

Flo Health

Contact Details:

Flo Health Recruitment Team

We think you need these skills to ace Data Science Lead

Technical Leadership
Applied Machine Learning
Model Deployment
Team Management
Supervised Learning
Unsupervised Learning
Time Series Analysis