Lovable Logo

Lovable

Data Scientist, Growth

Posted 3 Months Ago
Be an Early Applicant
In-Office
London, Greater London, England, GBR
Mid level
In-Office
London, Greater London, England, GBR
Mid level
Own the full growth funnel—from acquisition to expansion—identify high-leverage opportunities, design and run experiments, build instrumentation and agents to surface growth signals, and work closely with growth engineers to ship experiments that move metrics and drive measurable product growth.
The summary above was generated by AI

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.

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.

How we hire
  1. Fill in a short form and jump on an intro call with our recruiting team

  2. A call with the hiring manager

  3. A take-home case study

  4. A Most Impressive Project session

  5. Cross-functional interviews with the people you'd work with

  6. A final conversation with leadership

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.

Similar Jobs

2 Days Ago
In-Office or Remote
Mid level
Mid level
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3 • Infrastructure as a Service (IaaS)
Build and own Finance data models covering ledgers, settlements, transactions, invoicing, fees, and collateral. Reconcile internal and external systems, investigate discrepancies, support month-end close and audits, automate reporting, implement data quality tests, define reusable financial metrics, and create self-service reporting. Partner with Finance, Accounting, data, and platform engineering teams to maintain trusted, documented data systems.
Top Skills: AirflowBigQueryDagsterDatastreamDbtFivetranLightdashLookerMeltanoOmniPythonRedshiftSnowflakeSQL
2 Days Ago
Remote or Hybrid
Mid level
Mid level
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3 • Infrastructure as a Service (IaaS)
Build and maintain scalable batch and streaming data pipelines for payments, ledger, transaction, and blockchain data. Own ingestion from databases, files, APIs, and onchain sources; develop incremental dbt models; orchestrate workflows in Dagster; and implement data quality, freshness, reconciliation, monitoring, deduplication, and late-data handling. Partner with engineering, analytics, data science, and risk teams to support reliable reporting and machine-learning features.
Top Skills: AirbyteAirflowApache BeamBigQueryCdcClickhouseDagsterDataflowDatastreamDbtDebeziumEvmFivetranFlinkGCPGcsKafkaMeltanoPub/SubPythonRustSftpSnowflakeSolanaSQL
2 Days Ago
In-Office or Remote
Mid level
Mid level
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3 • Infrastructure as a Service (IaaS)
Build and operate Rain’s scalable batch and streaming data platform, including BigQuery, streaming infrastructure, orchestration, BI, ML capabilities, governance, access controls, and infrastructure as code. Ensure reliable, secure, compliant, and cost-efficient data processing through monitoring, schema management, lineage, CI/CD, incident response, and automation. Support fraud and risk models with feature pipelines and advise engineering teams on event and CDC design.
Top Skills: AirflowAWSAzureBigQueryCi/CdClickhouseDagsterDataflowDatastreamDebeziumFlinkGCPIamKafkaLightdashPub/SubPythonSnowflakeSQLTerraformVertex Ai

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account