Data Scientist, Growth

London

TL;DR — The first data scientist in our new London growth team. You own the growth funnel end to end, from acquisition to activation to retention to expansion, find the levers, and work directly with growth engineering to ship experiments into the product. Not decision support: you drive the numbers.

Why Lovable?

Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products, fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we're just getting started.

We're a small, talent-dense team building a generation-defining company from Stockholm, now growing a team in London. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.

What we're looking for

A growth-minded data scientist who owns funnel outcomes: you find the lever, run the experiment, and drive the metric, working shoulder to shoulder with growth engineers.
Deep instinct for acquisition, activation, retention, and expansion, and what actually moves them.
Strong SQL, Python, applied statistics, and heavy experimentation (A/B and growth tests) in a fast-moving environment.
You build the systems and agents that surface growth opportunities proactively, not one-off analyses.
Comfortable shipping fast with directional reads, and knowing when rigor matters.
Entrepreneurial and autonomous. Excited to be first in seat and shape how growth data works at Lovable.

What you'll do

Own the growth funnel metrics end to end and drive measurable improvement across acquisition, activation, retention, and expansion.
Find the highest-leverage opportunities in the funnel and turn them into experiments that ship, working directly with growth engineering.
Design, run, and read growth experiments, and act on them.
Build the instrumentation, metrics, and agents the growth team runs on.
Help shape the growth data function as its first data scientist.