Data Scientist, Product

Lovable; Greater London; On-site; GBP 85,000 - 110,000; Full time

Job summary

Lovable is the software creation platform that gives people the power to act on the problems closest to them. We’re looking for a product-minded data scientist who owns a product area’s outcomes—finding the opportunity, forming the bet, and seeing it shipped with PMs and engineers.

You’ll design experiments, build instrumentation and semantic models, and surface proactive insights. The role emphasizes activation, engagement, and retention, with autonomy and fast iteration in a fast-moving,

Qualifications

• Strong SQL, Python, applied statistics, and experimentation.
• Deep instinct for user behavior: activation, engagement, retention.
• Entrepreneurial, autonomous, and comfortable with ambiguity.
• Own metrics and funnels and ship product bets with PMs and engineers.

Responsibilities

• Own the metrics and funnels for a product area, driving activation, engagement, and retention.
• Find opportunities in user behavior and turn them into product bets, working with PMs and engineers to ship them.
• Design and run experiments and act on the results.
• Build instrumentation, semantic models, and agents used by the product team.
• Keep data quality, definitions, and lineage trustworthy.

Skills

SQL

Python

Experimentation

Statistics

User behavior analytics

Product focus

Tools

BigQuery

Hex

Pub/Sub

Job description

TL;DR - You own the metrics for a product area, find where users get stuck or drop off, and turn that into product bets that ship. You build the measurement and experimentation the teams rely on, and the systems that surface opportunities without waiting on you.

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 product-minded data scientist who owns a product area's outcomes: you find the opportunity, form the bet, and see it shipped, rather than handing insights to a PM.

• You build systems, not one-offs: the instrumentation, metrics, and agents that produce insight and flag opportunities proactively.

• Strong SQL, Python, applied statistics, and experimentation (A/B and growth tests).

• Deep instinct for user behavior: activation, engagement, retention, and what moves them.

• Comfortable shipping directional answers fast, and knowing when a decision needs rigor.

• Entrepreneurial. Thrives with autonomy and ambiguity, and works shoulder to shoulder with product and engineering.

What you'll do

• Own the metrics and funnels for a product area, and drive measurable improvement in activation, engagement, and retention.

• Find opportunities in user behavior and turn them into product bets, working directly with PMs and engineers to ship them.

• Design and run experiments, and act on the results.

• Build the instrumentation, semantic models, and agents the product team runs on.

• Keep the data the team trusts trustworthy: quality, definitions, and lineage.

Our tech stack

We're building with tools that both humans and AI love:

• Languages: SQL and Python

• Warehouse & events: BigQuery, PubSub

• Analytics & product: Hex, Lovable Apps

• Experimentation: A/B and growth testing

• Cloud: GCP

And always on the lookout for what's next.