Data Scientist, Growth

On-site London Stockholm Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Lovable. London · full-time · no salary stated · we estimate £42,000–£85,000 across the United Kingdom.

Estimated pay

Lovable has not published a salary for this role. The figure below is our estimate, not theirs.

£42,000 – £85,000

What the middle half of mid-level data science roles in the United Kingdom paid, among postings that did state a salary.

Worked out from 17 postings that stated pay, median £51,709. Last updated Nov 13, 2026.

RoleData Science

SeniorityMid-level

LocationLondon

WorkplaceOn-site

EmploymentFull-time

PostedAug 6, 2026

Also hiring inStockholm

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Track the funnel from first acquisition through activation, retention and expansion, and push its metrics upward
Spot promising funnel opportunities, then work with growth engineers to turn them into shipped tests
Set up growth experiments, assess their results and use the findings to choose what happens next
Create the tracking, measures and agents the growth team uses to uncover opportunities
Establish how growth data work is done as the team’s first data scientist

What you bring

Strong SQL and Python skills, with applied statistics and substantial A/B and growth-testing experience
A clear understanding of what influences acquisition, activation, retention and expansion
You can make timely calls from early directional evidence while applying rigor when the question demands it

Who this fits

This suits an autonomous, growth-focused data scientist who wants to own outcomes and build the function from its first seat. The role is onsite in the United Kingdom, based with the London growth team. You’ll work directly with growth engineers and need to apply in English.

From the employer

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 is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.

We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.

Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.

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.