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Lovable

Data Scientist

London
Posted about 16 hours ago
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TL;DR

We are looking for a data scientist to build Lovable's data and analytics muscle. You'll work cross-functionally across all teams to level up our understanding of users, uncover opportunities and empower everyone with the insights they need for data-driven decision making. Must combine analytical rigor with the ability to turn complex data into winning product bets.

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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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 business-minded data scientist who's excited to level up our analytics efforts: metrics frameworks, behavioral models, and hypothesis testing
  • Solid technical foundation (SQL, Python, statistical analysis) - comfortable working with data at scale and translating it into insights
  • Deep curiosity about user behavior and what actually drives growth and retention
  • Ability to move between exploratory analysis, building behavioral models, hypothesis testing, and strategic recommendations

What You’ll Do

  • Work closely with growth, product, and marketing to identify key levers in the customer journey
  • Analyze funnels, cohorts, and user behaviors to surface insights that drive decisions
  • Build dashboards, alerts, and automated reporting to keep the team informed and aligned
  • Design and analyze experiments (A/B tests, growth tests) to understand, impact and inform strategy
  • Monitor data quality and collaborate with engineering to maintain reliability
  • Leverage AI tools and automation to scale your analysis and focus on high-impact questions
  • Translate data into clear, actionable narratives that drive product and business decisions

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Our tech stack

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

  • Frontend: React
  • Backend: Golang and Rust
  • Cloud: Cloudflare, GCP, AWS, Many LLM providers
  • DevOps & Tooling: Github Actions, Grafana, OTEL, infra-as-code (Terraform)

And always on the lookout for what's next!

How We Hire

  • Fill in a short form then jump on an initial exploratory call.
  • Discuss your experience in more depth during a round of interviews with us.
  • Join us for a workshop lasting 1-2 days remote or onsite. We'll see how you tick and you get to meet the team and explore whether joining Lovable feels right for you.

About Your Application

Please submit your application in English. It’s our company language so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested please apply through our careers portal.

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Jessica, London

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Skills

SQL
Python
Statistical Analysis
A/B Testing
Behavioral Modeling
Hypothesis Testing
Data Visualization
Growth Analytics
Cohort Analysis
Funnel Analysis
Dashboarding
Data Quality Monitoring

Location

London, England, United Kingdom

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